The Global Information Technology Report 2014 Rewards and Risks of Big data Beã at Bilbao-Osorio, Soumitra Dutta,
and Bruno Lanvin, Editors Insight Report  2014 World Economic Forum Insight Report The Global Information
Rewards and Risks of Big data Beã at Bilbao-Osorio, World Economic Forum Soumitra Dutta, Cornell University
The Global Information technology Report 2014 is a special project within the framework of the World
Aurã lie Corre, Team Coordinator, Telecommunication Industry Aurã lien Goutorbe, Senior Content Manager Telecommunication Industry
Qin He, Associate Director, Telecommunication Industry William Hoffman, Associate Director, Head of Personal Data Initiative
Dimitri Kaskoutas, Senior Community Associate Telecommunication Industry Danil Kerimi, Director, Government affairs, Information and Communication Technology Industries
Elena Kvochko, Manager, Information technology Industry Derek O†Halloran, Associate Director, Head of Information technology Industry Michele Petruzziello, Senior Partnership Development
Global Leadership Fellow Alexandra Shaw, Senior Community Associate Information technology Industry Bruce Weinelt, Director, Head of Telecommunication
Industry World Economic Forum Geneva Copyright  2014 by the World Economic Forum and INSEAD
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted
in any form or by any means, electronic, mechanical photocopying, or otherwise without the prior permission of
the World Economic Forum ISBN-13: 978-92-95044-63-0 ISBN-10:92-95044-63-0
Visit The Global Information technology Report page at www. weforum. org/gitr We thank Hope Steele for her excellent editing work and
statistical data are maintained on a separate and independent basis  2014 World Economic Forum The Global Information technology Report 2014 iii
Contents Preface v Jennifer Blanke and Alan Marcus (World Economic Forum Foreword vii John Chambers (Cisco systems
Foreword ix Cesare Mainardi (Booz & Company Executive Summary xi Beã at Bilbao-Osorio (World Economic Forum), Soumitra Dutta
and Risks of Big data 1. 1 The Networked Readiness Index 2014: 3 Benchmarking ICT Uptake in a World
of Big data Beã at Bilbao-Osorio and Roberto Crotti (World Economic Forum Soumitra Dutta (Cornell University),
1. 2 The Internet of Everything: How 35 the Network Unleashes the Benefits of Big data
Robert Pepper and John Garrity (Cisco systems 1. 3 Big data Maturity: An Action Plan 43 for Policymakers and Executives
Bahjat El-Darwiche, Volkmar Koch, David Meer, Ramez T. Shehadi and Walid Tohme (Booz & Company
1. 4 Big data: Balancing the Risks and 53 Rewards of Data-Driven Public Policy Alex Pentland (MIT
1. 5 Managing the Risks and Rewards 61 of Big data Matt Quinn and Chris Taylor (TIBCO
1. 6 Rebalancing Socioeconomic 67 Asymmetry in a Data-Driven Economy Peter Haynes (Atlantic Council) and M-H. Carolyn Nguyen (Microsoft
1. 7 Building Trust: The Role of 73 Regulation in Unlocking the Value of Big data
Scott Beardsley, Luã s Enrã quez, Ferry Grijpink, Sergio Sandoval Steven Spittaels, and Malin Strandell-Jansson (Mckinsey &
Company 1. 8 From Big data to Big Social 81 and Economic Opportunities: Which Policies Will Lead to Leveraging Data
-Driven Innovation†s Potential Pedro Less Andrade, Jess Hemerly, Gabriel Recalde, and Patrick Ryan (Public Policy Division, Google, Inc
1. 9 Making Big data Something 87 More than the â€oenext Big Thing†Anant Gupta (HCL Technologies
Part 2: Country/Economy Profiles 95 How to Read the Country/Economy Profiles...97 Index of Countries/Economies...
99 Country/Economy Profiles...100 Part 3: Data Tables 249 How to Read the Data Tables...
251 Index of Data Tables...253 Data Tables...255 Technical Notes and Sources 323 About the Authors 329
Partner Institutes 335 Acknowledgments 343  2014 World Economic Forum  2014 World Economic Forum
The Global Information technology Report 2014 v The 13th edition of The Global Information technology Report is released at a time when economies need
to solidify the recovery of the past year and leave the worst financial and economic crisis of the past 80
years behind. Developed economies need to sustain their incipient economic recovery and find new areas
of growth and employment creation; emerging and developing economies need to build their resilience against turbulence in the markets and foster their
innovation potential in order to sustain the rapid economic growth they experienced in the past decade Against this backdrop, information and
The Global Information technology Report 2014 features the latest results of the NRI, offering an overview
data, an unprecedented phenomenon in terms of the volume, velocity, and variety of sources of the creation
of new data. These essays also advise on the changes that organizations, both public and private, will need to
newly generated data. In addition, the Report presents a wealth of data, including detailed profiles for each
economy covered and data tables with global rankings for the NRI€ s 54 indicators We would like to convey our sincere gratitude to
the industry and academic organizations†experts who contributed outstanding chapters. We also wish to thank
The Global Information technology Report 2014 vii Foreword JOHN CHAMBERS Chairman and Chief executive officer, Cisco systems I never cease to be amazed by the speed of innovation
Change is the only true constant, and each year the pace of change only accelerates. Transitions that once
development of the Internet as people, processes data, and things become increasingly connected We call this the Internet of Everything (Ioe),
and it is having a profound impact on individuals, businesses communities, and countries. According to analysis
conducted by Cisco, the Internet of Everything represents a US$19 trillion global opportunity to create
value over the next decade through greater profits for businesses as well as improved citizen services, cost efficiencies, and increased revenues for governments
the Internet of Everything possible. These include the emergence of cloud and mobile computing, the growth
of big data and analytics, and the explosive development of the Internet of things (Iot. These transitions are
changing the role of information technology (IT), with Internet protocol (IP) networks playing an increasingly central part by seamlessly connecting disparate IT
environments. Cisco†s contribution to this edition of The Global Information technology Report focuses on the
how IP networks facilitate new information flows through the interaction between two of these transitions:
Iot and data analytics The explosive expansion of Iot, or connections between context-aware machines and other physical
objects, is changing how we utilize devices to improve our daily lives. And the shift in data and analyticsâ€
from being centralized, structured, and static to being distributed, mixed structured and unstructured, and real -time†is leading to a new era of real-time processing and
decision-making More industries are moving their systems and processes to IP networks, and the rapid growth of IP
-connected devices is driving exponential increases in data traffic. The migration to IP networks and the ability
to turn â€oebig data†into valuable, actionable information have demonstrable benefits†both economic and social†as well as positive financial impacts for firms
In our 30-year history, our success has been based on our ability to see around corners,
the emergence of the Internet of Everything. We have seen this before, in the transitions from bridged networks
data traffic to voice and video traffic, PC connections to any-device connections, and physical data centers to the
cloud We see the network as the critical accelerator and enabler in all of these transitions, transforming
data centers, for example, the network is the common element for intelligence, scale, and flexibility. Data centers have evolved as more intelligence has been built
into the network†from networking virtual machines and developing a platform optimizing computing to scaling applications and decoupling them from the server or
data center in which they live The network also facilitates the growth of applications, a key driver of the Internet of Everything
Applications already provide an integral way that consumers experience the Internet of Everything, with the number of applications growing from 10 billion
downloads in 2010 to 77 billion by 2014 As this trend continues, we expect the Internet of
Everything to drive massive gains in efficiency, business growth, and quality of life, helped along by thousands
of new Iot applications. These applications will require building new end-to-end Iot infrastructures, which will
enable the deployment of even more Iot applications We are pleased to collaborate again with the World
Economic Forum and INSEAD to produce The Global Information technology Report and the Networked Readiness Index (NRI.
The NRI provides policymakers business leaders, and concerned citizens with valuable insights into current market conditions and the state
of connectivity across the world, and helps to identify where more can be done to accelerate the Internet of
Everything†s positive impact on the world in which we live  2014 World Economic Forum
 2014 World Economic Forum The Global Information technology Report 2014 ix Foreword CESARE MAINARDI Chief executive officer, Booz & Company
The report in your hands is a compilation of wisdom about the relationship between digitization and corporate
strategy. This is a relationship of enormous promise because digitization†the mass adoption of connected digital services by consumers, enterprises, and
governments†provides dramatic power and reach to the companies that understand it But there is also enormous tension in the
relationship between digitization and strategy. Digital media and technologies are inherently subject to change A company†s strategy, its way of winning in the market
is most effective when it is tied to its identity. And corporate identities†and the capabilities and cultures
For most companies, digitization is a great enabler But it is also a great disruptor.
Digitization is also distracting: it can present a bewildering array of potential opportunities, all of which
opportunities and challenges of digitization? They are rigorously and prudently selective. They invest in those
and benefits of one current element of digitization: big data. This is comprised of large datasets often gathered
in unstructured forms from the behavior of people and groups. For example, as individuals search online, shop
data in unprecedented amounts and interpret them in novel ways. Insights from old forms of market research
In capable companies, big data is aligned with their strategies. They invest only in the data gathering that
gives them privileged access to the customers they care about, or that contributes to the capabilities that make
can be overwhelmed by big data. They can collect a huge volume of information without any predetermined
When The Global Information technology Report (GITR and the Networked Readiness Index (NRI) were created more than 13 years ago, the attention of decision
the new opportunities that the Internet provided for businesses. 1 At present, the world is slowly emerging
EXTRACTING VALUE FROM BIG DATA Data have had always strategic value, but with the magnitude of data available today†and our capability to
process them†they have become a new form of asset class. In a very real sense, data are now the equivalent
of oil or gold. And today we are seeing a data boom rivaling the Texas oil boom of the 20th century and the
San francisco gold rush of the 1800s. It has spawned an entire support industry and has attracted a great deal of business press in recent years
This new asset class of big data is commonly described by what we call the â€oethree Vs. †Big data is
high volume, high velocity, and includes a high variety of sources of information. Next to those traditional three Vs
we could add a fourth: value. This is what everyone is looking for, and this is why big data today gets so much
attention. In the quest for value, the challenge facing us is how to reduce the complexity and unwieldiness of big
data so that it becomes truly valuable Big data can take the form of structured data such
as financial transactions or unstructured data such as photographs or blog posts. It can be crowd-sourced or
obtained from proprietary data sources. Big data has been fueled by both technological advances (such as the spread of radio-frequency identification, or RFID, chips
and social trends (such as the widespread adoption of social media. Our collective discussions, comments likes, dislikes,
and networks of social connections are now all data, and their scale is massive. What did we
search for? What did we read? Where did we go? With whom do we associate?
What do we eat? What do we purchase? In short, almost any imaginable human interaction can be captured
and studied within the realm of big data Big data has arrived. It is changing our lives and
changing the way we do business. But succeeding with big data requires more than just data. Data-based
value creation requires the identification of patterns from which predictions can be inferred and decisions made
Businesses need to decide which data to use. The data each business owns might be as different as the
businesses themselves; these data range from log files and GPS data to customer-or machine to machine-machine
data. Each business will need to select the data source it will use to create value.
Moreover, creating this value will require the right way of dissecting and then analyzing those data with the right analytics.
It will require knowing how to separate valuable information from hype This world of big data has also become a source
of concern. The consequences of big data for issues of privacy and other areas of society are not yet fully
understood. Some prominent critics, such as Jaron Lanier, 2 call on us to be cautious about readily believing
any result created by the â€oewisdom of the crowd. †Moreover, applications of big data in military intelligence
have created a growing concern for privacy around the world Indeed, we are now living in a world where anything
and everything can be measured. â€oedata†could become a new ideology. We are just at the beginning of a long
journey where, with the proper principles and guidelines we should be able to collect, measure,
and analyze more and more information about everyone and everything in order to make better decisions, individually and
The Global Information technology Report 2014 xi  2014 World Economic Forum PART 1: THE CURRENT NETWORKED
into the role of big data and how to extract value from it are included also. These contributions relate to (1) how
the network unleashes the benefits of big data;(2) how and why policymakers and business executives need
to develop action plans to extract value from big data 3) balancing the risks and rewards of big data from a
public policy perspective;(4) managing these risks and rewards;( (5) rebalancing socioeconomic asymmetry in a
data-driven economy;(6) the role of regulation and trust building in unlocking the value of big data;(
7) turning the potential of big data into socioeconomic results; and (8 defining organizational change to take full advantage of
big data Insights from the NRI 2014 on the world†s networked readiness Chapter 1. 1 provides an overview of the networked
readiness landscape of the world as assessed by the NRI 2014. It presents the results of the top 10 performers
addition, the Country/Economy Profile and Data Tables sections at the end of the Report present the detailed
2 assesses the nature of the digital divide in Europe and Box 3 discusses the challenges large emerging
almost universal Internet use, for example†and in innovation performances. The Asian Tigers†composed of Singapore, Hong kong SAR, the Republic of korea
using the Internet and high levels of technological and non-technological innovation. The country also comes
xii The Global Information technology Report 2014 Executive Summary  2014 World Economic Forum world (2nd), making Sweden a truly knowledge-based
terms of wider access to international Internet bandwidth per user. Overall, the country exhibits a robust uptake
of ICTS by all major stakeholders†businesses (9th government (11th), and individuals (18th) †who manage
the changing nature of the digital divide in Europe and in the rest of the world.
The digital divide should not be regarded only in terms of access to ICT infrastructure but also in terms of the impacts that using ICTS can
digital divide persists between the most advanced economies†such as the Asian Tigers and Japan†and emerging economies and other trailing countries
Internet users, which in some countries†such as South Africa†has doubled almost. These improvements have led to many important innovations that provide more
The Global Information technology Report 2014 xiii Executive Summary  2014 World Economic Forum crucial to avoid the emergence of a new digital divide
that will be evident in a disparity of the economic and social impacts associated with what has been called the
Africa depicts a highly diversified outlook in terms of the capacity of countries to leverage ICTS to boost
The Internet of Everything: How the Network Unleashes the Benefits of Big data Chapter 1. 2, contributed by Robert Pepper and John
Garrity from Cisco systems, details how Internet protocol IP) networks underpin the concept of the Internet
of Everything (Ioe) and explores how IP networks accelerate big data†s transformational impact on
individuals, businesses, and governments around the world As exabytes of new data are created daily, a rising
share of this data growth is flowing over IP networks as more people, places, and things connect to the Ioe
Proprietary networks are increasingly migrating to IP facilitating the growth of big data, and networks are fast
becoming the key link among data generation, analysis processing, and utilization The authors highlight four major trends driving
data growth over IP networks and detail how networks are central to maximizing analytical value from the
data deluge. The chapter identifies critical technology and public policy challenges that could accelerate or encumber, the full impact of big data and the Ioe
including standards and interoperability, privacy and security, spectrum and bandwidth constraints, cross -border data traffic, legacy regulatory models, reliability
scaling, and electrical power Big data Maturity: An Action Plan for Policymakers and Executives In Chapter 1. 3, Bahjat El-Darwiche, Volkmar Koch
David Meer, Ramez T. Shehadi, and Walid Tohme of Booz & Company argue that big data has the potential
to improve or transform existing business operations and reshape entire economic sectors. Big data can pave the way for disruptive, entrepreneurial companies
and allow new industries to emerge. The technological aspect is important, but technology alone is insufficient
to allow big data to show its full potential and to prevent companies from feeling swamped by this information
What matters is to reshape internal decision-making culture so that executives base their judgments on data
rather than hunches. Research already indicates that companies that have managed this are more likely to be
terms of big data maturity, an approach that allows them to assess progress and identify necessary initiatives
data initiatives; and looking also at the many and more complicated methods for using big data,
which can mean simple efficiency gains or revamping a business model. The ultimate maturity level involves transforming
the business model to become data-driven, which requires significant investment over many years Policymakers should pay particular attention to
with a compelling case for the benefits of big data This means addressing privacy concerns and seeking
to harmonize regulations around data privacy globally Policymakers should establish an environment that facilitates the business viability of the big data sector
such as data, service, or IT system providers), and they should take educational measures to address the
shortage of big data specialists. As big data becomes ubiquitous in public and private organizations, its use will
become a source of national and corporate competitive advantage Balancing the Risks and Rewards of Data-Driven
Public Policy Alex â€oesandy†Pentland from the Massachusetts Institute of Technology (MIT) highlights in Chapter 1. 4 that we
are entering a big data world, where governance is far more driven by data than it has been in the past
Basic to the success of a data-driven society is the protection of personal privacy and freedom.
Discussions at the World Economic Forum have made substantial contributions to altering the privacy and data ownership
standards around the world in order to give individuals unprecedented control over data that are about them, while at the same time providing for increased
transparency and engagement in both the public and private spheres We still face the challenge that large organizations
and in particular governments, may be tempted to abuse the power of the data that they hold. To address this
concern we need to establish best practices that are in the interests of both large organizations and individuals
xiv The Global Information technology Report 2014 Executive Summary  2014 World Economic Forum big data. The key policy recommendations for all large
organizations, commercial or government, are that 1. Large data systems should store data in a distributed manner, separated by type (e g
financial vs. health) and real-world categories (e g individual vs. corporate), managed by a department whose function is focused on those data, and
with sharing permissions set and monitored by personnel from that department. Best practice would have the custodians of data be regional
and use heterogeneous computer systems. With such safeguards in place, it is difficult to attack many different types of data at once,
and it is more difficult to combine data types without authentic authorization 2. Data sharing should always maintain provenance
and permissions associated with data and support automatic, tamper-proof auditing. Best practice would share only answers to questions about the
data (e g.,, by use of preprogrammed SQL queries known as â€oedatabase Viewsâ€) rather than the data themselves, whenever possible.
This allows improved internal compliance and auditing, and helps minimize the risk of unauthorized information
leakage 3. Systems controlled by partner organizations, and not just a company†s own systems, should be
secure. External data sharing should occur only between data systems that have similar local control, permissions, provenance,
and auditing and should include the use of standardized legal agreements such as those employed in trust
networks. Otherwise data can be siphoned off at either the data source or the end consumer, without
the need for attacking central system directly 4. The need for a secure data ecosystem extends to
the private data of individuals and the proprietary data of partner companies. As a consequence, best
practice for data flows to and from individual citizens and businesses is to require them to have secure
personal data stores and be enrolled in a trust network data sharing agreement 5. All entities should employ secure identity credentials
at all times. Best practice is to base these credentials on biometric signatures 6. Create an â€oeopen†data commons that is available
to partners under a lightweight legal agreement such as the trust network agreements. Open data can generate great value by allowing third parties to
improve services Although these recommendations might at first glance seem cumbersome, they are for the most part easily implemented with the standard protocols found
within modern computer databases and networks. In many cases, the use of distributed data stores and
management are already part of current practice, and so the entire system will be simpler and cheaper to
implement than a centralized solution: all that is really new is the careful use of provenance, permissions, and
auditing within a legal or regulatory framework such as a trust network. Most importantly, these recommendations will result in a data ecosystem that is more secure and
resilient, allowing us to safely reap the advantages of using big data to help set and monitor public policy
Managing the Risks and Rewards of Big data In Chapter 1. 5.,Matt Quinn and Chris Taylor from TIBCO
argue that expert handling of big data brings the reward of being able to react to world-changing events, both
big and small, at an unprecedented rate and scope Epidemics can be tracked and miracle drugs developed
for example, but at the same time, big data brings risks that require balancing those benefits against privacy concerns raised by the potentially unsettling correlation
of personal information Organizations are awakening to the reality that an overwhelming amount of high-volume, wide-variety, and
high-velocity data creates three key trends •Big data leverages previously untapped data sources to liberate information from places where it
was hidden previously •Big data management requires automation wherever possible, because volume and complexity eliminate the ability of humans to intervene and reprogram
processes in real time •Big data forces us to create adaptable, less fragile data systems because the sheer variety of
structured and unstructured data breaks the old computational and transactional ways of writing logic These trends create two main challenges
•Big data holds unseen patterns, which need to be visualized using analytics tools and techniques
Insights gained must be used at the right time, in the right context, and with the right approach
amounts of data is complicated much more than the relatively simple problem of marshaling storage and
making use of big data in increasingly sophisticated ways. The chapter cites examples in healthcare logistics, and retail where big data is being tackled
with a systems approach that takes into consideration information streaming constantly as well as what is found
in historical databases that cut through the mystique of The Global Information technology Report 2014 xv Executive Summary
 2014 World Economic Forum big data and get to the core of understanding big data†s
risks and rewards Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy Chapter 1. 6, contributed by Peter Haynes of the
Atlantic Council and M-H. Carolyn Nguyen at Microsoft explains that an increasing amount of data is being
generated by individuals who are handing potentially valuable information to commercial enterprises in exchange for â€oefree†services.
Moreover, they are doing this without realizing†or being recompensed for†their data†s monetary value, and with little or no control over
asymmetries in the broad data ecosystem are a potential threat to the emerging data-driven economy, since
they may reduce overall output as more and more economic activity is predicated on the use, exchange and analytics of data.
The authors argue the need for a data ecosystem based on fair value exchange and the
ability of users to control the use of data related to them The chapter also considers potential technology and
policy approaches by which this might be achieved, and present the need for significant additional research and
sustainable data-driven economy Building Trust: The Role of Regulation in Unlocking the Value of Big data
In Chapter 1. 7, Scott Beardsley, Luã s Enrã quez, Ferry Grijpink, Sergio Sandoval, Steven Spittaels, and Malin
the expectation that big data will create great benefit for society, companies, and individuals in the coming
-speed Internet networks, an educated workforce, and consumer trust in the services, especially regarding the
protection of personal data and privacy The increasing importance of protecting personal data and privacy is being recognized by countries and
organizations across the world. There are, however, a range of diverging views about how to tackle the issue
might hamper public trust in big data applications and companies and hinder the development of big data to
its full potential. The issues of concern include how to define personal data, how to treat anonymous data
whether to allow the right to be forgotten, and the need to clarify the relevant jurisdictions and liabilities between
parties The chapter outlines a few suggestions for regulators and companies about how to tackle these
From Big data to Big Social and Economic Opportunities: Which Policies Will Lead to Leveraging Data-Driven Innovation†s Potential
Chapter 1. 8, contributed by Pedro Less Andrade, Jess Hemerly, Gabriel Recalde, and Patrick Ryan at Google
focuses on the social and economic value of data but from the point of view of use and purpose rather
than volume. As it has become axiomatic that more data are produced every year, commentators have been driven to call this revolution the â€oeage of big data. â€
However, what is commonly known as â€oebig data†is not a new concept: the use of data to build successful
products and services, optimize business processes and make more efficient data-based decisions already has established an history.
Moreover, the term big data is ambiguous: the main features of big data (quantity speed, variety) are technical properties that depend
not on the data themselves but on the evolution of computing, storage, and processing technologies.
What is important about big data is not its volume but how it may contribute to innovation
and therefore be used to create value. This is why this chapter uses data-driven innovation to frame the discussion
High-value solutions that may not have quantifiable economic value are being developed using data, and many sectors, from businesses to governments, benefit
from data-driven innovation. Apart from producing and using data for better policymaking processes, the
public sector can also play its part in promoting and fostering data-driven innovation and growth throughout
economies by (1) making public data accessible through open data formats,(2) promoting balanced legislation and (3) supporting education that focuses on data
science skills Making Big data Something More than the â€oenext Big Thing†In Chapter 1. 9.,Anant Gupta, Chief executive officer at
HCL Technologies Ltd, argues that big data analytics is not a passing fad. It will be a central means of creating
value for the organization of tomorrow†almost literally tomorrow. It represents a major change in the way that
xvi The Global Information technology Report 2014 Executive Summary  2014 World Economic Forum businesses and other organizations will operate, and
using it successfully will require a new mind-set and new capabilities. Given that, many organizations are
struggling to even know where to start in becoming big -data competent. A step-by-step approach can make the
transition seem less daunting and minimize the stumbles that are bound to occur along the way
PARTS 2 AND 3: COUNTRY/ECONOMY PROFILES AND DATA PRESENTATION Parts 2 and 3 of the Report feature comprehensive
profiles for each of the 148 economies covered this year as well as data tables for each of the 54 variables
composing the NRI, with global rankings. Each part begins with a description of how to interpret the data
provided Technical notes and sources, included at the end of Part 3, provide additional insight and information on
the definitions and sources of specific quantitative non -Survey data variables included in the NRI computation
this year NOTES 1 Alexander 1983 2 See Lanier 2010; see also Kakutani 2010 REFERENCES Alexander, C. P. 1983. â€oethe New Economy. †Time Magazine, May
/article/0, 9171,926013, 00. html Kakutani, M. 2010. â€oea Rebel in Cyberspace, Fighting Collectivism. â€
http://www. nytimes. com/2010/01/15/books/15book. html? r=0 Lanier, J. 2010. You Are Not a Gadget.
New york: Vintage Books Random House The Global Information technology Report 2014 xvii Executive Summary  2014 World Economic Forum
 2014 World Economic Forum The Networked Readiness Index Rankings  2014 World Economic Forum
The Global Information technology Report 2014 xxi Rank Country/Economy Value 2013 rank out of 144
of Big data  2014 World Economic Forum  2014 World Economic Forum The Global Information technology Report 2014 3
CHAPTER 1. 1 The Networked Readiness Index 2014: Benchmarking ICT Uptake in a World of
Big data BEÑAT BILBAO-OSORIO, World Economic Forum ROBERTO CROTTI, World Economic Forum SOUMITRA DUTTA, Cornell University
When The Global Information technology Report (GITR and the Networked Readiness Index (NRI) were created more than 13 years ago, the attention of decision
the new opportunities that the Internet provided for businesses. 1 At present, the world is slowly emerging
EXTRACTING VALUE FROM BIG DATA Data have had always strategic value, but with the magnitude of data available today†and our capability to
process them†they have become a new form of asset class. In a very real sense, data are now the equivalent
of oil or gold. And today we are seeing a data boom rivaling the Texas oil boom of the 20th century and the
San francisco gold rush of the 1800s. It has spawned an entire support industry and has attracted a great deal of business press in recent years
As explained in more detail in Chapter 1. 3, this new asset class of big data is described commonly by
what we call the â€oethree Vs. †Big data is high volume high velocity, and includes a high variety of sources
of information. Next to those three Vs we could add a fourth: value. This is what everyone is looking for, and
this is why big data today gets so much attention. In the quest for value, the challenge facing us is how to reduce
the complexity and unwieldiness of big data so that it becomes truly valuable Big data can take the form of structured data such
as financial transactions or unstructured data such as photographs or blog posts. It can be crowd-sourced or
obtained from proprietary data sources. Big data has been fueled by both technological advances (such as the spread of radio-frequency identification, or RFID, chips
and social trends (such as the widespread adoption of social media. Our collective discussions, comments likes, dislikes,
and networks of social connections are now all data, and their scale is massive. What did we
search for? What did we read? Where did we go? With whom do we associate?
What do we eat? What do  2014 World Economic Forum 1. 1: The Networked Readiness Index 2014
4 The Global Information technology Report 2014 we purchase? In short, almost any imaginable human interaction can be captured
and studied within the realm of big data Big data has arrived. It is changing our lives and
changing the way we do business. Some examples include the following •Google uses big data to predict the next wave of
influenza. 2 •IBM uses data to optimize traffic flow in the city of Stockholm, 3 and to get the best possible air quality
•Dr. Jeffrey Brenner, a physician in New jersey, uses medical billing data to map out hot spots where
you can find his city†s most complex and costly healthcare cases as part of a program to lower
healthcare costs. 4 •The National Center for Academic Transformation is using data mining to help understand which
college students are more likely to succeed in which courses. 5 But succeeding with big data requires more than
just data. Data-based value creation requires the identification of patterns from which predictions can be
inferred and decisions made. Businesses need to decide which data to use. The data each business owns might
be as different as the businesses themselves; these data range from log files and GPS data to customer-or
machine to machine-machine data. Each business will need to select the data source it will use to create value
Moreover, creating this value will require the right way of dissecting and then analyzing those data with the
right analytics. It will require knowing how to separate valuable information from hype. Chapter 1. 7 provides
guidelines for businesses to make this transition. To a large extent, mastering big data can also be compared
to irrigation. It is not enough to â€oebring water†to where it can create fertility and value.
Flooding can destroy crops and even drive precious nutrients away. Mastering water resources requires the delicate management of how
much is needed and when, and often requires complex and interconnected systems of channels, levees, and
applied to big data, but this is a resource that could benefit the entire planet instead of just one country
Unit released survey data showing that approximately two-thirds of executives feel that big data will help find
new market opportunities and make better decisions. 6 Nearly half of the surveyed respondents feel big data will
increase competitiveness, and more than a third believe it will boost financial performance This world of big data has also become a source
of concern. The consequences of big data for issues of privacy and other areas of society are not yet fully
understood. Some prominent critics, such as Jaron Lanier, 7 call on us to be cautious about readily believing
The Global Information technology Report 2014 5 1. 1: The Networked Readiness Index 2014 Moreover, applications of big data in military intelligence
have created a growing concern for privacy around the world Indeed, we are now living in a world where anything
Although data are still scarce in terms of ICT impacts, policy interest in measuring ICTS has shifted from measuring ICT access to measuring ICT impacts
the digital divide. Even within developed nations the need to provide high-speed broadband to all segments of the population has acquired greater
resources, including software and skills. Moreover ICT impacts can arise only if ICTS are used widely by all key actors†individuals, businesses, and
6 The Global Information technology Report 2014 with reliable and efficient rules and regulations favorable business conditions for the founding and
composition and computation of the NRI 2014, while we briefly describe the different subindexes below
ICTS and software piracy rates The business and innovation environment pillar nine variables) gauges the capacity of the business
including mobile network coverage, international Internet bandwidth, secure Internet servers, and electricity production) as well as the accessibility of digital content
The affordability pillar (three variables) assesses the cost of accessing ICTS, either via mobile telephony or fixed broadband Internet,
as well as the level of competition in the Internet and telephony sectors that determine this cost
The skills pillar (four variables) gauges the ability of a society to make effective use of ICTS thanks to
phone subscriptions, individuals using the Internet households with a personal computer (PC), households with Internet access, both fixed and mobile broadband
subscriptions, and the use of social networks  2014 World Economic Forum The Global Information technology Report 2014 7
1. 1: The Networked Readiness Index 2014 The business usage pillar (six variables) captures the
extent of business Internet use as well as the efforts of the firms in an economy to integrate ICTS into an internal
technology-savvy, innovation-conducive environment that generates productivity gains. Consequently, this pillar measures the firm†s technology absorption capacity as
At the moment, because of data limitations, this pillar focuses on measuring the extent to which governments are becoming more efficient in
8 The Global Information technology Report 2014 In general, measuring the impacts of ICTS is a complex task,
quantitative data to do so is still in its infancy. As a result many of the dimensions where ICTS are producing
new data on many of these dimensions as they become available COMPUTATION METHODOLOGY AND DATA
In order to capture as comprehensively as possible all relevant dimensions of societies†networked readiness the NRI 2014 is composed of a mixture of quantitative
and survey data, as shown in Figureâ 3 Of the 54 variables composing the NRI this year
27†or 50 percent†are collected quantitative data primarily by international organizations such as International Telecommunication Union (ITU), the World
Bank, and the United nations. International sources ensure the validation and comparability of data across countries
The remaining 27 variables capture aspects that are more qualitative in nature or for which internationally
comparable quantitative data are not available for a large enough number of countries, but that nonetheless are
These data come from the Executive Opinion Survey (the Survey), which the Forum administers annually to over
by the Survey coverage and data availability for indicators obtained from other sources, mostly international organizations.
in the 2014 Report because Survey data could not be collected this year More details on variables included in the Index and
their computation can be found in Appendix A and in the Technical Notes and Sources section at the end of the
Breakdown of indicators used in the Networked Readiness Index 2014 by data source TOTAL: 54 INDICATORS
The Global Information technology Report 2014 9 1. 1: The Networked Readiness Index 2014 NRI 2014.
addition, the Country/Economy Profiles and Data Tables sections at the end of the Report present the detailed
assesses the nature of the digital divide in Europe and Boxâ 3 discusses the challenges large emerging
highly both in ICT use†with almost universal Internet use, for example†and in innovation performances.
10 The Global Information technology Report 2014 2013 rank Rank Country/Economy Value (out of 144) Group
The Global Information technology Report 2014 11 1. 1: The Networked Readiness Index 2014 Table 2:
12 The Global Information technology Report 2014 Table 3: Readiness subindex and pillars READINESS SUBINDEX Rank Country/Economy Score Rank Score Rank Score Rank Score
The Global Information technology Report 2014 13 1. 1: The Networked Readiness Index 2014 Table 4:
14 The Global Information technology Report 2014 Table 5: Impact subindex and pillars IMPACT SUBINDEX Rank Country/Economy Score Rank Score Rank Score
The Global Information technology Report 2014 15 1. 1: The Networked Readiness Index 2014 changes in the rest, with the exception of the significant
using the Internet and with high levels of technological and non-technological innovation. The country also
very high number of Internet users (29th) or households with a personal computer and Internet access (11th to the level of some Nordic countries, coupled with
reducing the cost of accessing fixed broadband Internet now at 87th), would allow Singapore to lead the overall
rankings Sweden (3rd) maintains its position this year despite a slight improvement in its overall score.
having access to a computer (1st) with an Internet connection at home (3rd), a large number of government
Internet users and more than 90 percent have access to a personal computer (5th) and Internet (4th) at home.
In addition, the country benefits from a stable pro-business and innovation environment (6th) and a government that
In this process of digitization, the government appears to be lagging slightly behind (35th: government online services (32nd) continue to be reduced relatively
16 The Global Information technology Report 2014 Box 1: Which countries are bridging the digital divide and
which countries are not? An evolutionary analysis of the NRI results The GITR series, through its Networked Readiness Index
the digital divide across nations. This lack of progress casts doubts about the capacity of developing and emerging
The Global Information technology Report 2014 17 1. 1: The Networked Readiness Index 2014 Box 1:
Which countries are bridging the digital divide and which countries are not? An evolutionary analysis of the NRI results (cont†d
html 2 In the original Boston Consulting Group†s classification, this group would be the â€oecash cows. â€
terms of wider access to international Internet bandwidth per user. Overall, the country exhibits a robust uptake
of ICTS by all major stakeholders†businesses (9th government (11th), and individuals (18th) †who manage
18 The Global Information technology Report 2014 economies continuing to lag behind. A deeper analysis of the root causes of these differences shows that, in
the changing nature of the digital divide in Europe and in the rest of the world.
The digital divide should not be regarded only in terms of access to ICT infrastructure but also in terms of the impacts that using ICTS can
the European digital divide Luxembourg, in 11th place, climbs five places thanks to continued improvements across the board
has access to a computer and an Internet connection at home and uses the Internet; businesses use ICTS
for their communication and transactions with other businesses (18th) and clients (14th; and governments offer a large share of their services online (13th.
innovation, such as mathematics and science (39th could help Austria leverage its digital potential better and
broadband Internet subscription rates in the world (4th a fairly good development of e-commerce (27th), and a
The Global Information technology Report 2014 19 1. 1: The Networked Readiness Index 2014 Europe is slowly emerging from one the worst financial
crisis. Technological progress and digitization can represent one of the main sources of potential economic growth and
However, the level of digitization is not the same across European union (EU) Member States, and thus the potential
A digital divide persists within the European union Although it is difficult to create homogeneous groups of European countries in terms of their level of digitization
and the benefits accruing from it, a broad classification by geography would show that Northern and Western europe
not be the main source of the digital divide in Europe 3. The cost of accessing ICTS is similar in all EU Member
the new nature of the digital divide in Europe. Because the benefits of ICTS increasingly permeate all activities
the digital divide within Europe becomes starker when viewed by considering the impacts that benefit different
The digital divide in Europe 1. Political and regulatory environment 6. Individual usage 5. Skills7. Business
20 The Global Information technology Report 2014 good economic impacts (19th) and a large share of its
Since the early days of the Internet revolution Ireland has identified ICTS as one of the key industries
Internet users (34th. In addition, both governments have made significant attempts to increase the number of services they offer online.
uses the Internet (28th) and e-commerce is well developed (9th. However, the government continues to
number of broadband Internet subscriptions (27th and Internet users (53rd), are reflected not in better innovation-led economic (91st) or social (87th) impacts
Weaknesses in the country†s political and regulatory environment (114th) coupled with a low capacity to
The Global Information technology Report 2014 21 1. 1: The Networked Readiness Index 2014 Since the beginning of the worst financial and economic
22 The Global Information technology Report 2014 Kazakhstan is one of the most prominent of this
Internet or owning a computer with an Internet connection at home. The effort to upgrade the digital capacity of
digital divide persists between the most advanced economies†such as the Asian Tigers and Japan†and emerging economies and other trailing countries
The Global Information technology Report 2014 23 1. 1: The Networked Readiness Index 2014 of the least advanced among them to gain access to
international Internet bandwidth by a significant amount and by making access to ICTS more affordable (53rd
its current economic outlook cannot be established renewed business confidence in the political environment may have contributed to this progress.
ITU, the increase in smartphone usage is leading to more handset data download because owners of smartphones
are more likely to purchase goods, access video and audio content, pay bills, and use other online services. 10
Internet on a regular basis and there are only 13 fixed broadband Internet subscriptions for every 100 people 51st).
) Mobile broadband Internet has registered more substantial growth, but its penetration is still low, with 17
subscriptions per 100 population (76th. Consequently individual usage in China still ranks low (80th), trailing
24 The Global Information technology Report 2014 worsening because of excessive bureaucracy and red tape, high taxes (135th),
of electricity and higher international Internet bandwidth capacity and server security. Yet performance in these
dimensions is still relatively low because improvements hardly keep up with the country†s rapid development
having achieved full mobile network coverage last year its international Internet bandwidth capacity improves significantly to reach 77th place.
In terms of skills, the quality of its educational system is improving as well as its population†s participation in higher education
infrastructure, where the capacity of secure Internet servers (105th) and electricity production (104th) remain insufficient to sustain future ICT development.
Usage also on a positive trend, has stayed more stable Across stakeholders, businesses (36th) lead, with
penetration of mobile phones passed 100 subscriptions per population a few years ago, mobile broadband subscriptions are rapidly evolving, and social networks
are popular. However, the low usage of the Internet 112th) and the scarce availability of personal computers
103rd) and home Internet connections (117th) still reflect gaps in the fulfilment of Indonesia†s ICT agenda
Consequently, economic and social impacts (86th and 63rd, respectively) are increasing but still low compared
to the tremendous improvements registered in the few years. It is hoped that the benefits of ICTS are building up
the accessible mobile phone tariffs (30th) are counterbalanced by less competitive broadband Internet prices (86th. Similarly, the business and innovation
environment includes a high level of local competition 41st) as well as low government procurement of advanced technology (105th.
phones (38th) and usage of virtual social networks 49th), comparable to those of advanced economies Yet, aside from mobile telephony, other technologies
The Global Information technology Report 2014 25 1. 1: The Networked Readiness Index 2014 Sri lanka, another ASEAN economy, drops
the number of secure Internet servers also increases but remains low (108th. However, the most
digital divides that characterize India. The penetration of mobile phones is low (69.9 percent) and not growing
while the numbers of Internet users (12.6 percent households with a personal computer (10.9 percent and mobile broadband subscriptions (5 percent) are
disappointing (all ranking below the 102nd position The main strength of India lies in its very affordable set
of ICT tariffs (1st) and its businesses†capacity to adopt new technology (48th. The government continues to
26 The Global Information technology Report 2014 LATIN AMERICA AND THE CARIBBEAN Improving the connectivity of the region continues to
with one of the highest rates of Internet users (45th e-commerce (35th), and online government (24th
access to an Internet connection (59th) and a higher proportion of its population with mobile broadband
subscriptions (70th), thanks to efforts to guarantee affordable (15th) access to the ICT infrastructure Notwithstanding these strengths, overall individual (64th
Internet users (66th) and households with a personal computer (74th) and an Internet connection (75th) †have allowed for this positive result.
Notwithstanding this progress, the country continues to suffer from poor framework conditions for entrepreneurship and innovation (104th) and from weaknesses in its
The Global Information technology Report 2014 27 1. 1: The Networked Readiness Index 2014 Despite a slight increase in NRI score thanks to
using the Internet, a well-developed e-commerce industry (30th), and a government committed to offering
required for a changing and more digital economy. All this results in low ICT usage levels by both individuals
for example, greater access to international Internet bandwidth and higher individual uptake. Despite this progress, the country continues to lag significantly
telephony and by expanding the number of Internet users, which in some countries†such as South Africaâ€
has doubled almost. These improvements have led to many important innovations that provide more and better services that were previously unavailable, such
crucial to avoid the emergence of a new digital divide that will be evident in a disparity of the economic and
28 The Global Information technology Report 2014 sector to support the economic development of the island, coupled with a positive political and regulatory
ICT users, even if less than half of its population uses the Internet or has a computer with an Internet connection at
home. Improving the economic impacts (70th) accruing from a higher use of ICTS will require resolving some
only around 10 percent of households have a computer 113th) or an Internet connection (103rd. Weaknesses in
the innovation and entrepreneurial environment (110th and a fairly low skills base (98th) also affect the capacity
digital divide in these countries should focus not only on developing their ICT infrastructures but also on improving
impacts that constitute the new digital divide THE MIDDLE EAST AND NORTH AFRICA As in previous years, the region depicts a highly
diversified outlook in terms of the capacity of countries to leverage ICTS to boost competitiveness and well
personal computer (21st) and Internet connection (29th at home and are Internet users (31st), and more than half of its population has access to mobile broadband
26th). ) The government has made also a significant effort to offer its services online (15th), and e-commerce
23rd) is developed fairly well. In addition, the country benefits from a rather skilful labor force (39th), despite
the top 10 in the world in terms of Internet users (9th and households having access to a computer (8th) and
Internet connection (10th), which has become almost  2014 World Economic Forum The Global Information technology Report 2014 29
1. 1: The Networked Readiness Index 2014 universal and has helped to achieve very high social
impacts (8th. Economic impacts (32nd), while improving could be higher. Technological innovation (46th) remains modest, and just a quarter of its population is employed
population use the Internet (14th) and have access to a personal computer at home (18th; government services
are largely available online (9th) and e-commerce is relatively well established (20th. Benefiting from a
especially in terms of international Internet bandwidth 74th), may not be developed as well in Bahrain as in other countries, it is less costly to access (25th) and
14th), with a very high number of Internet users (10th the number of households with a personal computer
3rd) is similar to that of the Nordic countries. As for other countries in the region, the government has a
with less than half its population using the Internet 75th) †and businesses, in their interaction with other
internet (57th), than both businesses, where e-business still lags behind, and the government, which notably
30 The Global Information technology Report 2014 After a sharp drop in the past edition, Algeria manages to move up two positions to reach 129th
data. Large amounts of data, often referred to as big data, are constantly generated both in a structured and non-structured
manner. Thanks to advances in ICTS, the volume and velocity of generation of these data are unprecedented
as is the capacity of organizations to capture and treat them, potentially generating great economic and social
more than just the generation of or access to big data Organizations, both public and private, need to decide
and interpret these data. This will frequently require new management philosophies and organizational structures capable of adapting and
same time, the potential of big data to be misused is also increasingly becoming a source of concern.
the digital divide between advanced economies and emerging and developing ones persists. This is notable especially in terms of the economic and social impacts
nature of this digital divide. The NRI results show that many developing and emerging countries have made
quality Internet connections or to expand ICT uptake has been slower, especially in the least-developed countries In addition, these countries suffer from unfavorable
key to reducing this new digital divide going forward Finally, of special importance given their size and
The Global Information technology Report 2014 31 1. 1: The Networked Readiness Index 2014 BRICS economies†more precisely, their inability to
big data can yield in generating growth and high-quality employment in a rapidly changing context. Designed
2 Google, no date, Explore Flu Trends Around the World, available at http://www. google. org/flutrends
/3 Schaefer et al. 2011 4 Gawande 2011 5 Parry 2012 6 The Economist Intelligence Unit 2013
/article/0, 9171,926013, 00. html BCG (Boston Consulting Group. 1970. â€oebcg Growth-Share Matrix Definition. †Strategic Management insight, Strategy Tools.
/bcg-matrix-growth-share. html Browne, C.,T. Geiger, and T. Gutknecht. 2013. â€oethe Executive Opinion
Getting More out of Big data. †White paper, sponsored by Oracle and Intel. London, New york, Hong kong, and Geneva
The Economist Intelligence Unit. Available at http://www managementthinking. eiu. com/sites/default/files/downloads/In%20
search%20of%20insight%20and%20foresight 0. pdf European commission. 2010a. Digital Agenda for Europe: A Europe 2020 Initiative.
March. Available at http://ec. europa. eu/digital -agenda /††â€. 2010b. Europe 2020.
at https://ec. europa. eu/digital-agenda/sites/digital-agenda/files /DAE%20scoreboard%202013%20-%20swd%202013%20
217%20final. pdf Gawande, A. 2011. â€oedoctor Hotspot. †PBS Frontline. WGBH Educational Foundation. Available at http://www. pbs. org/wgbh/pages/frontline
/Google. No date. Explore Flu Trends Around the World. Available at http://www. google. org/flutrends
/ITU (International Telecommunication Union. 2013. Measuring the Information Society. Geneva: ITU Kakutani, M. 2010. â€oea Rebel in Cyberspace, Fighting Collectivism. â€
Books of the Times, January 14. The New york times. Available at http://www. nytimes. com/2010/01/15/books/15book. html?
r=0 Lanier, J. 2010. You Are Not a Gadget. New york: Vintage Books Random House
Parry, M. 2012. â€oecollege Degrees, Designed by the Numbers. †The Chronicle of Higher education, July 18.
Understanding the IBM Approach to Traffic Management. Redguides for Business leaders. IBM. Available at http://www. redbooks. ibm. com/redpapers/pdfs/redp4737. pdf
 2014 World Economic Forum  2014 World Economic Forum The Global Information technology Report 2014 33
1. 1: The Networked Readiness Index 2014 This appendix presents the structure of the Networked
Readiness Index 2014 (NRI. As explained in the chapter the NRI framework separates environmental factors
indicators used in the computation of the NRI are distributed among the 10 pillars In the list below, the number preceding the period
matches the numbering of the data tables at the end of the Report The computation of the NRI is based on successive
aggregations of scores, from the indicator level (i e.,, the most disaggregated level) to the overall NRI score (i e
are used always at every step of the computation of the NRI Variables that are derived from the World Economic
*1. 07 Software piracy rate,%software installed 1. 08 Number of procedures to enforce a contractd
Structure and computation of the Networked Readiness Index 2014 Â 2014 World Economic Forum 1. 1:
34 The Global Information technology Report 2014 READINESS SUBINDEX Readiness subindex=1/3 Infrastructure and digital content
3. 02 Mobile network coverage,%population 3. 03 International Internet bandwidth, kb/s per user 3. 04 Secure Internet servers per million population
3. 05 Accessibility of digital content *4th pillar: Affordabilityf 4. 01 Mobile cellular tariffs, PPP $/min
4. 02 Fixed broadband Internet tariffs, PPP $/month 4. 03 Internet and telephony sectors competition index, 0†2
best 5th pillar: Skills 5. 01 Quality of educational system *5. 02 Quality of math and science education
*5. 03 Secondary education gross enrollment rate %5. 04 Adult literacy rate %USAGE SUBINDEX Usage subindex=1/3 Individual usage
+1/3 Business usage +1/3 Government usage 6th pillar: Individual usage 6. 01 Mobile phone subscriptions per 100 population
6. 02 Percentage of individuals using the Internet 6. 03 Percentage of households with computer
6. 04 Households with Internet access %6. 05 Fixed broadband Internet subscriptions per 100 population 6. 06 Mobile broadband Internet subscriptions per 100
population 6. 07 Use of virtual social networks *7th pillar: Business usage 7. 01 Firm-level technology absorption
*7. 02 Capacity for innovation *7. 03 PCT patent applications per million population 7. 04 Business-to-business Internet use*g
7. 05 Business-to-consumer Internet use*g 7. 06 Extent of staff training *8th pillar: Government usage
8. 01 Importance of ICTS to government vision of the future *8. 02 Government Online service Index, 0†1 (best
8. 03 Government success in ICT promotion *IMPACT SUBINDEX Impact subindex=1/2 Economic impacts
+1/2 Social impacts 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services and products
is used in the computation of the NRI d For indicators 1. 08 and 1. 09, the average of the respective
normalized scores is used in the computation of the NRI e For indicators 2. 04 and 2. 05, the average of the respective
normalized scores is used in the computation of the NRI f The affordability pillar is computed as follows:
normalized scores of indicators 4. 01 mobile cellular tariffs and 4. 02 Fixed broadband Internet tariffs is multiplied by a competition
factor, the value of which is derived from indicator 4. 03 Internet and telephony sectors competition index.
It corresponds to the score achieved by an economy on this indicator normalized on a scale from 0. 75 (worst) to 1. 00 (best), using the min-max
Where data are missing for indicator 4. 03 (i e.,, Puerto Rico and Timor-Leste), the score on the affordability pillar, which is
is used in the computation of the NRI categoryi K ï =1 indicatork K ï 2014 World Economic Forum
The Internet of Everything How the Network Unleashes the Benefits of Big data ROBERT PEPPER JOHN GARRITY
Cisco systems Exabytes (1018) of new data are created every single day. Much of this information is transported over Internet
protocol (IP) networks. First described by Clive Humby as the â€oenew oil, †1 this data growth is fueling knowledge
economies, sparking innovation, and unleashing waves of creative destruction. But most of these data are
unstructured and underutilized, flowing at a volume and velocity that is often too large and too fast to analyze
If data do in fact, comprise the new raw material of business, on par with economic inputs such as capital
and labor, 2 then deriving insight and added value from this new input will require targeted transmission
processing, and analysis A rising share of this data growth is flowing over IP networks as more people, places, and things connect
to this Internet of Everything (Ioe. Proprietary networks built on industry-siloed standards such as those in
manufacturing or electric utilities, are increasingly migrating to IP networks, facilitating the growth of big data, and fast becoming the key link among data
generation, processing, analysis, and utilization How can we effectively maximize value from this data explosion and avoid the pitfall of diminishing
marginal data value? This chapter details how IP networks underpin the Ioe and can accelerate big data†s
transformational impact on individuals, businesses, and governments around the world. After first highlighting four major trends driving data growth over IP networks
and detailing how networks are central to maximizing analytical value from the data deluge, the chapter
identifies critical technology and public policy challenges that could either accelerate or encumber the full impact
of big data and the Ioe ACCELERATING DATA PRODUCTION AND DATA TRAFFIC Data growth is skyrocketing.
Over 2. 5 quintillion bytes of data are created each day; 90 percent of the world†s
stored data was created in the last two years alone. 3 To put this into context, one hour of customer transaction
data at Wal-mart (2. 5 petabytes) provides 167 times the amount of data housed by the Library of Congress
The research consultancy IDC estimates that the digital universe†all digital data created, replicated, or consumed†is growing by a factor of 30 from 2005 to
2020, doubling every two years. By 2020, there will be over 40 trillion gigabytes (or 40 yottabytes) of digital
data†or 5, 200 gigabytes for every person on earth. 4 Much of this data growth is traversing IP networks
Cisco†s Visual Networking Index estimates that, from 2012 to 2017, total traffic over IP networks will grow
threefold, rising at a compound annual growth rate CAGR) of 23 percent. Mobile data traffic, however, is
growing at an even faster pace: over the same period mobile data will grow 13-fold, with a CAGR of 66
percent, capturing a greater share of all data created and transmitted (Figureâ 1). 5 The Global Information technology Report 2014 35
 2014 World Economic Forum Despite the rapid growth in data production and transmission, however, only a small fraction of all
physical objects in the world are connected currently to IP networks. Cisco estimates that less than 1 percent
of physical objects are connected to IP networks. 6 But the Ioe is expanding as more devices
and users are connecting to IP networks every day, conducting more transactions and processes online For individuals, the impacts of the Ioe are felt
daily. Sensors embedded in shoes, for example track the distances that fitness enthusiasts run and automatically upload information to social media profiles
to immediately compare athletic achievements with those of friends. Internet-enabled alarm clocks gather data on
weather and traffic, combining that information with a user†s schedule, determining the optimal time to wake
local residents. And applications on smart phones can control home electronic devices, adjusting heating and cooling levels as well as arming (or disarming) security
settings remotely At an industrial level, applications using sensor technologies are capturing vast amounts of data to
improve decision-making. Sensors embedded in agricultural fields monitor temperature and moisture levels, controlling irrigation systems.
Devices in oil fields and deep well rigs track all aspects of drilling and fuel
delivery, increasing production efficiency. And sensors in vehicles are able to monitor usage, informing decisions
around refueling and repair as well as vehicle design For governments, Ioe and big data applications are helping to monitor pandemics and environmental
conditions, improve public safety and security, and increase efficiency in the delivery of public services such
Ioe, the data universe will continue to grow rapidly. The Ioe will not only fuel the expansion of big data and data
transmission, but can also provide targeted, automatic data-driven analysis for our day-to-day lives CRITICAL DRIVERS OF DATA GROWTH
In 1944, the first digital computer, the Colossus was deployed in the United kingdom to decipher codes during WORLD WAR II.
The Colossus was able to process data at 5, 000 characters per second (25 Kb/s). 7 Currently the world†s fastest supercomputer
the Milkyway-2, can process 54,902 Ã 1012 operations per second (54,902 TFLOP/s). 8 This intensive growth in
data processing power continues today, coupled with extensive growth in data production. This data growth also supports four major trends that lead to a rising
share of data transmission over IP networks in the world of the Ioe, as described below
•Internet protocol (IP) is becoming the common language for most data communication Proprietary industrial networks are migrating to IP
bringing previously isolated data onto public and managed IP networks. The Internet†s history is
built on the migration of proprietary networks to IP Proprietary data networks such as Appletalk and
IBM Systems Network architecture (SNA) have migrated to IP over time, and traditional time-division multiplexing (TDM) voice networks are migrating to
0 500 1, 000 1, 500 2, 000 2015 (forecasted) 2014 (forecasted) 2013201220112010 Figure 1:
Growth rates and rising share of mobile data Sources: Cisco 2013b; EMC 2013; authors†calculations In
de xe d da ta tr af fic s er ie s 2 01 0
le ve ls o f b yt es =1 00 †Mobile data traffic †Total data universe
†Total IP traffic 1. 2: The Internet of Everything 36 The Global Information technology Report 2014
 2014 World Economic Forum Voice over internet Protocol (Voip. Today electricity grids, building systems, industrial manufacturing
oil systems, and a multitude of other sectors with networks that were built previously with proprietary
protocols are increasingly migrating to IP as industries and enterprises recognize the value of interoperability and scale.
Each migration shifts a large amount of data production and transmission onto IP networks (see Boxâ 1
•Previously unconnected places, people, things and processes are connecting to networks for the first time.
to the endpoints collecting data and to the devices consuming information. Cisco†s Visual Networking
billion more devices will connect to the Internet reaching a total of 19 billion connected devices
to the Internet. Of the world†s total inhabited areas mobile network coverage will increase to 85 percent
in 2017, up from 79 percent in 2012.10 In addition, a diversity of processes are migrating online.
the data itself (e g.,, descriptive statistics, frequency distribution, dispersion, etc..This digitization of information is leading to greater exchange of stored
media and data over the Internet •The introduction of Internet protocol version 6 (IPV6) allows for trillions of trillions (1038) of
devices to connect to the Internet. IPV6 is the latest update to the protocol that underpins the
Internet. It defines the system for routing traffic on the Internet by giving identification and location to
all points connected to the global IP network. The previous version of the protocol, IPV4, enabled
only approximately 4 billion IP ADDRESSES. But IPV6 provides more than 340 trillion, trillion, trillion addresses, 12 ensuring no immediate exhaustion of IP
Box 1: Big data: Huge and growing data volume from industrial applications Industrial applications of the Internet of Everything (Ioe
generate immense data flows, which are increasingly shifting over to Internet protocol (IP) networks. One reason
for the shift is that IP networks have increased reliability Industrial networks have traditionally been concerned with
uptime and latency, and IP networks have evolved to be able to handle industrial demands and the data flows that
come with them In the oil and gas industry, for example, data are utilized across the entire value chain, from exploration
production, refining, and distribution to marketing and retail. Sensors and computing are used to capture and
monitor seismic data, borehole activity, environmental readings, weather, production utilization, storage capacity spot pricing (trading), transportation, inventory levels
demand and forecasts, and location data. In seismic exploration, the cost, size, and speed of data are all
rising as exploration moves to 3d imaging. Data capture amounted to around 300 megabytes per square kilometer
in the 1990s. By 2006, data per square kilometer amounted to 25 gigabytes, while today the amount per
square kilometer is in the petabytes. 1 According to Chevron and industry-wide estimates, a â€oefully optimized†digital oil
field based on data utilization results in 8 percent higher production rates and 6 percent higher overall recovery. 2
In electric utility grids, data utilization also improves efficiency. Current grids monitor data to control electricity
flows (both to and from the grid) based on real-time demand, thus improving generator efficiency and ensuring
more-sustainable energy sources. Upgrading standard electric meters to â€oesmart meters†allows information to be
communicated over a network back to a control center and increases the amount of data captured.
While traditional meters are read once a month, some smart meters can report usage rates in 15-minute intervals.
For every million meters, this leads to 96 million measurements per day an estimated 3, 000-fold increase in data collection. 3
Conservative estimates of the total amount of data that will be generated by smart meters by 2019 in the United states
alone (assuming only two readings per day, and below full deployment) yields measurements in the order of hundreds
of petabytes per year. 4 In an example from another industry, aircraft manufacture and operation, sensors on General electric
GE) †s jet plane turbines illustrate the vast amount of data generated daily. GE estimates that each sensor on a GE
turbine generates approximately 500 gigabytes of data every day. Each turbine has 20 sensors, and globally GE
owns approximately 12,000 turbines. This aggregates to petabytes of data daily. 5 Notes 1 Beals 2013;
see also note 4 at the end of this chapter 2 Leber 2012 3 IBM Software 2012 4 Danahy 2009;
Fehrenbacher 2009 5 Lopez 2013 The Global Information technology Report 2014 37 1. 2: The Internet of Everything
 2014 World Economic Forum addresses or limits to the number of IP connections The sheer number of available addresses allows for
every single star in the known universe to have 4. 8 trillion addresses THE GAP BETWEEN DATA GROWTH AND DATA
VALUE Current estimates suggest that only half a percent of all data is being analyzed for insights;
13 furthermore the vast majority of existing data are unstructured and machine-generated. 14 Applying analytics to a greater
share of all data can lead to productivity increases economic growth, and societal development through the
creation of actionable insights Data alone are not very interesting or useful. It is when data can be used
and become actionable that they can change processes and have direct positive impact on people†s lives.
The Ioe generates data, and adding analysis and analytics turns those data into actionable information.
Building on the framework of the knowledge hierarchy, 15 aggregated data become information that, when analyzed, become knowledge
Knowledge can lead to insights and informed decision -making, which at the highest level is wisdom (Figureâ 2
For example, society at large can benefit from tracking trends observed from metadata such as anonymized mobile phone data used to track population
migration after the earthquake and cholera outbreaks in Port-au-prince, Haiti. 16 Likewise, analyzing social media discussions can identify crises or flu outbreaks
At an industrial level, big data analysis can yield very large benefits. For example, the value of modernizing
the US electricity grid to be driven data is estimated at US$210 billion. A reconstituted electricity grid would
be based on an architecture driven by â€oetechnology selections to fully harness the convergence of data
controls and transactions. †17 According to Bradley et al. in a recent Cisco White Paper, harvesting data for critical decision-making
though the Ioe can create approximately US$14. 4 trillion dollars of added value in the commercial sector over
the next 10 years across a wide range of industries. 18 This opportunity exists in the form of new value created
by technology innovation, market share gains, and increasing competitive advantage. It translates into an opportunity to increase global corporate profits by
approximately 21 percent, driven by improvements in asset utilization (reducing costs and improving capital efficiency), employee productivity (improved labor
efficiency), supply chain logistics (eliminating waste and improving process efficiency), customer experience adding more customers),
Unit and Capgemini indicates that big data analytics were responsible for a 26 percent improvement in business performance among a cohort of companies
to manage the rise in data. It is forecasted that by 2020 an average business will have to manage 50 times
information technology (IT) staff is expected to rise only by 1. 5 times. 20 Benefits to society via improved outcomes
Turning data into insight Sources: Ackoff 1989; authors†interpretation Insight wisdom Process optimization Knowledgedecision-making
Data Individual data points 1. 2: The Internet of Everything 38 The Global Information technology Report 2014
 2014 World Economic Forum EQUIPPING IP NETWORKS TO DELIVER BIG DATA INSIGHTS Moving up the knowledge pyramid from data to insights
and informed decisions is a critical challenge facing businesses and governments. Equipping IP networks to better transmit data to processing centers as well as
enabling the network to create, analyze, and act on data insights is one comprehensive approach. Building this
capability will require improving network infrastructure building analytical capabilities and â€oeintelligence†into the network, and distributing computing and analytical
capabilities throughout the network, particularly at the edge. Specifically, these are •Network infrastructure improvements.
These improvements include connecting all things including unintelligent ones (those that are capable only of transmitting data, not receiving them
securing infrastructure; improving inter and intra -data center traffic flows; and increasing the ability to manage private and public networks
•Building intelligence into the network. This will require building in the ability to compute data
in motion and host partner applications in an ecosystem where applications can be built to analyze data inflow, particularly enabling machine
-to-machine (M2m) services •Distributing computing and storage. Efficient distribution will require moving the ability to analyze
data only in the data center to add processing at the edge (or near the edge) of the network, to prevent
delays in processing caused by latency as well as delays caused by network congestion TECHNICAL AND POLICY CHALLENGES
Building a network that will maximize the impact of big data requires powerful and seamless interactions among
sensors, devices, computing, storage, analytics, and control systems But although IP networks are primed to support the
expansion of big data and the Ioe, technical and policy challenges exist in the ability of current IP networks to
fully exploit big data expansion (Figureâ 3). An approach that tackles these issues concurrently will help to
create the right ecosystem. The discussion below highlights specific issues that will need to be addressed thoughtfully
Standards and interoperability issues span both the technical and policy domains. Agreement on standards is critical to develop economies of scale by encouraging
product and service innovation around a common language, and generally accepted global standards allow for greater interoperability between devices
may monitor parking space availability), but common standards allow information to be exchanged within, and among, these networks when those needs arise
Privacy issues arise with the growth of data particularly with regard to data generated by or about
individuals. Policymakers must identify the appropriate balance between protecting the privacy of individuals†data and allowing for innovation in service delivery and
product development. New technologies and services Source: Authors POLICYTECHNICAL Figure 3: Policy and technical issues facing big data and the Ioe
Standards & interoperability Privacy & security Spectrum & bandwidth constraints Reliability Scaling Electrical power Cross-border data traffic
Legacy regulatory models The Global Information technology Report 2014 39 1. 2: The Internet of Everything
 2014 World Economic Forum such as location-based services, are bringing these privacy issues to the forefront, offering users enhanced
experiences while raising concerns of identity protection Some policies†such as transparency in the use of
data and effective mechanisms for consumer control of personal data†can help in this regard. The key security
issues for big data include the reliable prevention of hacking and access by unauthorized and unwanted
users to large databases and data flows. In order to ensure a healthy ecosystem where users, consumers
and businesses feel safe in engaging in big data activities, network security is essential Over the next five years, the growth of mobile data
traffic will require greater radio spectrum to enable wireless M2m, as well as people-to-people (P2p) and
people-to-machine (P2m), connectivity. Ensuring device connectivity and sufficient bandwidth for all of the uses
of wireless sensors will require careful planning. The spectrum requirements are going to be heterogeneous and will include narrowband and broadband frequencies
short haul and long haul spectrum, continuous data transmission and short bursts of data transmission and licensed spectrum in addition to license-exempt
spectrum. Bandwidth constraints will also be an obstacle in transmitting data over existing networks The examples cited in Boxâ 1 reflect the volume of data
being generated by proprietary networks, resulting in the need to move computing close to the network edge
in a distributed intelligence architecture. Data loads will be lumpy across various applications of the Ioe, and
matching bandwidth needs to bandwidth availability will be a continuous challenge As more critical processes are conducted as
part of the Ioe, the need for reliability in IP networks increases. Healthcare applications that require instant
communication between end users and medical professionals, safety and security applications, utility functions, and industrial uses are examples where
continuous, uninterrupted, real-time communications require reliable and redundant connectivity. Low latency the time required for round-trip data transmission
is required already for advanced cloud computing applications such as high-definition video conferencing and industrial collaboration. Any interruption to the
transmission of data over networks negatively impacts these processes Constraints on the technological limits of electrical
efficiency and on computer memory and processing already pose limits to computing and data analysis. Data
centers, for example, exemplify the boundaries where electrical power, cooling resources, and space design are redesigned constantly and re-imagined to advance
current capabilities. As the Ioe expands into tens of billions of connected devices, the technological aspects
of IP networks have to be able to manage the huge scale of device connectivity.
One aspect of this expansion Internet addressing, is being resolved with the migration from IPV4 to IPV6.
Other challenges include determining how virtualized computing environments may support a reallocation of computing resources.
And new sources of electrical power (advanced batteries, simple chemical reactions, etc. will be needed to power the multitude of
new devices that will emerge Ioe applications that collect and handle data across sovereign jurisdictions could be affected negatively by
policies restricting cross-border data traffic and global trade in Ioe-related services. Emerging cross-border
issues include national data protection rules and data transfers, data portability and interoperability standards and liability costs for cloud service providers.
Furthermore trade in some Ioe services may fall under existing international trade agreements, while others do not
As the Ioe permeates across business sectors, the application of Ioe technology in traditional industries presents new challenges to legacy regulatory models
and end users in markets ranging from healthcare to utilities. The heavily regulated energy markets, in particular, face a range of issues
processing data. We have been our own primary data machines. But today, with the advent of vast arrays
of computing power, we increasingly rely on data processed by others, and the Ioe and the era of big data
are transforming our lives Data flows and the ability to capture value from data are changing industries,
creating new opportunities while impacting others. For example, the â€oeapp economy††the business created by software applications running on
smartphones†has created hundreds of thousands of jobs. 21 One recent study estimates that the marginal
impact of data utilization in the Ioe could raise US gross domestic product by 2 percent to 2. 5 percent by 2025.22
The Ioe†where more data are being captured by more devices, interacting with more people and
changing the processes by which we live, learn, work and play†is having a profound impact on the world
big data and generate added positive impact for society NOTES 1 Palmer 2006 2 The Economist 2010
The Internet of Everything 40 The Global Information technology Report 2014 Â 2014 World Economic Forum
3 IBM 2013 4 Gantz and Reinsel 2012. A useful reminder in the sequence of
data storage and memory is that the measure increases by the thousands and the sequence is from byte, kilobyte, megabyte
gigabyte, terabyte, petabyte, exabyte, zettabyte and beyond 5 Cisco 2013b 6 Cisco 2013a 7 Mclellan. 2013
8 Top500. org 2013 9 Biggs et al. 2012 10 GSM Association 2012 11 Cukier and Mayer-Schoenburger 2013
12 More specifically, 340,282, 366,920, 938,463, 463,374, 607,431, 768 211,456 addresses, or roughly 3. 4 times 1038
13 Gantz and Reinsel 2012 14 Canalys 2012 15 Ackoff 1989 16 Bengtsson et al. 2011
in the European union, Vision Mobile and Plum (2013 found that nearly 800,000 jobs have been created this way
Ackoff, R. 1989. â€oefrom Data to Wisdom. †Journal of Applied Systems Analysis 16: 3†9
Beals, B. 2013. â€oethe Big Deal about Big data in Oil and Gas. †Hitachi Available at www. lnm. com. br/bah/downloads/Hitachi bert-Beals
BAH2013. pptx Bengtsson L.,X. Lu, A. Thorson, R. Garfield, and J. von Schreeb. 2011
Population Movements with Mobile phone Network Data: A Post -Earthquake Geospatial Study in Haiti. †PLOS Med 8 (8:
Information technology Report: Living in a Hyperconnected World Geneva: World Economic Forum and INSEAD. 47†56
and D. Handler. 2013. â€oeembracing the Internet of Everything to Capture Your Share of $14. 4 Trillion. †Cisco White
Available at http://www. cisco. com/web/about/ac79/docs /innov/Ioe economy. pdf Canalys. 2012.
Defining Big data report. September 27. Palo alto Shanghai, Singapore, and Reading, UK: Canalys Cisco. 2012. Cisco Global Cloud Index:
Forecast and Methodology 2012†2017. Available at http://www. cisco. com/en/US/solutions /collateral/ns341/ns525/ns537/ns705/ns1175/Cloud index white
Paper. html ††â€. 2013a. â€oeconnections Counter: The Internet of Everything in Motion. †the network:
Cisco†s Technology News Site, July 29 Available at http://newsroom. cisco. com/feature-content? type=web
content&articleid=1208342 ††â€. 2013b. Visual Networking Index (VNI. Available at http://www cisco. com/en/US/netsol/ns827/networking solutions solution
category. html Cukier, K. and V. Mayer-Schoenburger. 2013. â€oethe Rise of Big Data: How It†s Changing the Way We Think about the World. â€
Foreign affairs May/June. Available at http://www. foreignaffairs com/articles/139104/kenneth-neil-cukier-and-viktor-mayer
-schoenberger/the-rise-of-big data Danahy, J. 2009. â€oethe Coming Smart Grid Data Surge. †October 5
Available at http://www. smartgridnews. com/artman/publish /News blogs news/The-Coming-Smart-Grid-Data-Surge-1247
html De Martini, P. and L. von Prellwitz. 2011. â€oegridonomics: An Introduction to the Factors Shaping Electric Industry Transformation. †Cisco
White paper. Available at http://www. cisco. com/web/strategy /docs/energy/gridonomics white paper. pdf The Economist. 2010. â€oedata, Data Everywhere. †Managing Information
Special report, February 25. Available at http://www. economist com/node/15557443 EIU (Economist Intelligence Unit. 2012.
The Deciding Factor: Big Data and Decision making, June 12. Report commissioned by Capgemini. Available at http://www. managementthinking. eiu. com
/sites/default/files/downloads/The%20deciding%20factor final pdf EMC2. 2013. â€oedigital Universe. †Available at http://www. emc. com
/leadership/programs/digital-universe. htm Fehrenbacher, K. 2009. â€oesmart Grid Data About to Swamp Utilities. â€
October 12. Gigaom. Available at http://gigaom. com/2009/10/12 /smart-grid-data-about-to-swamp-utilities
/Gantz, J. and D. Reinsel. 2012. â€oethe Digital Universe in 2020: Big data Bigger Digital Shadows,
and Biggest Growth in the Far east. †IDC iview, sponsored by EMC. December. Available at http
//www. emc. com/collateral/analyst-reports/idc-the-digital-universe -in-2020. pdf GSM Association. 2012. â€oegsma Announces New Global Research
That Highlights Significant Growth Opportunity For The Mobile Industry. †Press release, October 18. Available at http://www
gsma. com/newsroom/gsma-announces-new-global-research -that-highlights-significant-growth-opportunity-for-the-mobile
-industry IBM. 2013. Website. â€oebig Data. †Available at http://www. ibm. com/big -data/us/en
/IBM Software. 2012. â€oemanaging Big data for Smart Grids and Smart Meters. †IBM White paper. Somers, NY:
IBM Corporation Available at ftp://public. dhe. ibm. com/software/pdf/industry /IMW14628USEN. pdf Leber, J. 2012. â€oebig Oil Goes Mining for Big data. †MIT Technology
Review, May 8. Available at http://www. technologyreview. com /news/427876/big-oil-goes-mining-for-big data
/Lopez, M. 2013. â€oege Speaks on the Business Value of the Internet of Things. †Forbes. com, May 10.
Available at http://www. forbes. com /sites/maribellopez/2013/05/10/ge-speaks-on-the-business-value
-of-the-internet-of-things Mandel, M. 2013. â€oecan the Internet of Everything Bring back the High
-Growth Economy? †Policy Memo, September. Washington DC: Progressive Policy Institute (PPI. Available at http://www
progressivepolicy. org/wp-content/uploads/2013/09/09.2013 -Mandel can-the-Internet-of-Everything-Bring back-the-High
-Growth-Economy-1. pdf Mandel, M. and J. Scherer. 2012. â€oethe Geography of the App Economy. â€
September 20, South Mountain Economics LLC. Available at http://files. ctia. org/pdf/The geography of the app economy. pdf Mclellan, C. 2013. â€oebig Data:
An Overview. †Going deep on Big data ZDNET special feature, October 1. Available at http://www. zdnet
com/big data-an-overview-7000020785 /Palmer, M. 2006. â€oedata Is the New Oil. †Blog Post, November 3
Available at http://ana. blogs. com/maestros/2006/11/data is the new. html Taft, J.,with P. De Martini and L. von Prellwitz. 2012.
Utility Data Management and Intelligence. Cisco. http://www. cisco. com/web /strategy/docs/energy/managing utility data intelligence. pdf
Top500. org. 2013. Supercomputer Sites. http://www. top500. org /system/177999, accessed October 4, 2013 The Global Information technology Report 2014 41
1. 2: The Internet of Everything  2014 World Economic Forum Vision Mobile and Plum Consulting. 2013.
The European App Economy Creating Jobs and Driving Growth. Report sponsored by ACT September. Available at http://www. act4apps. org/wp-content
/uploads/2013/09/ACT-The-European-App-Economy-20131. pdf 1. 2: The Internet of Everything
42 The Global Information technology Report 2014 Â 2014 World Economic Forum CHAPTER 1. 3 Big data Maturity
An Action Plan for Policymakers and Executives BAHJAT EL-DARWICHE VOLKMAR KOCH DAVID MEER RAMEZ T. SHEHADI
WALID TOHME Booz & Company The total volume of structured and unstructured data generated by individuals, enterprises, and public
organizations is multiplying exponentially; 90 percent of the total data stored today is less than two years
old. 1 So-called big data has the potential to improve or transform existing business operations and reshape
entire economic sectors. It can also pave the way for disruptive, entrepreneurial companies and allow new
industries to emerge THE BIG DATA IMPERATIVE If they are to capitalize on this potential, organizations
should avoid a common misapprehension. Much debate has focused on the need to develop the technology to
store and analyze the deluge of data that threatens to drown companies. Although this technology is indeed
necessary, it is not sufficient to enable big data to be exploited fully Organizations must instead remold their decision
-making culture so that senior executives make more judgments based on clear data insights rather than on intuition.
They must build the necessary internal capabilities, deploying the technical and human resources to interpret data in an astute manner
Moreover, because they rely on governments to provide the requisite environment, they must ask policymakers to create the regulatory framework and information
and communications technology (ICT) infrastructure to remove external obstacles We propose a Big data Maturity Framework that is based on the experiences of organizations
that have undergone a big data transformation. This framework will allow organizations to assess their progress in this arena
and determine what they need to do to extract greater business and organizational benefits from the vast volume of data.
The framework incorporates three elements:(1) environment readiness 2) internal capabilities; and (3) the various, steadily more
sophisticated, ways to use big data that range from increased efficiency in existing operations to a complete
change in an organization†s business model WHAT IS BIG DATA Big data represents the newest and most
comprehensive version of organizations†long-term aspiration to establish and improve their data-driven decision-making. It is characterized by
what are known as the â€oethree Vs††large data volumes, from a variety of sources, at high velocity (i e.,
, real-time data capture storage, and analysis). Besides structured data (such as customer or financial records), which are kept typically
in organizations†data warehouses, big data builds on unstructured data from sources such as social media text and video messages,
and technical sensors (such The authors wish to thank Dr. Andreas Deckert for his contribution to this
chapter The Global Information technology Report 2014 43 Â 2014 World Economic Forum as global positioning system,
or GPS, devices) †often originating from outside the organization itself The magnitude and complexity of data being
produced far exceed the typical capacities of traditional databases and data warehouses for the purposes of
storing, processing, analyzing, and deriving insights Usage statistics emanating from social media sites illustrate the sheer volume of unstructured data.
For example, in 2012 Facebook reported that it was processing around 2. 5 billion new pieces of content
daily. 2 Big data has the potential to infuse executive decisions with an unprecedented level of data-driven
insights. However, research indicates that many organizations are struggling to cope with the challenges of big data.
For example, in 2012 the Aberdeen Group found that the proportion of executives who reported that their companies were unable to use unstructured
data, and who complained that the volume of data was growing too rapidly to manage,
had increased by up to 25 percent during the previous year. 3 EVOLUTION, NOT REVOLUTION Despite the rapid growth of big data, organizations
should keep its influence in perspective. Although remarkable, the big data phenomenon is merely the continuation of a journey in which evermore
-elaborate data have influenced decision-making. From organizations†first attempts at data analytics in the 1960s and 1970s, this journey has proceeded through
various stages, described by buzz words such as data mining and business intelligence, all of which sought to transform raw data into meaningful information for
business purposes (Figureâ 1 The latest development, big data, may appear all-enveloping and revolutionary. However, the essential
principles for exploiting its commercial benefit remain exactly the same as they were in previous moves toward
increased data-driven decision-making. Executives must harness this recent data explosion by focusing on carefully formulating the business questions that enable
the swift and accurate identification of those nuggets of data that they believe can improve their organization†s
1970 1980 1990 2000 2010 Now and future Figure 1: Evolution of data-driven decision-making
Source: Booz & Company Linearâ programming Managementâ information systems/dashboards Dataâ marts Dataâ warehouses Dataâ clusters
Operations research Creditâ scoring Cloudâ storage Nonlinear programming Crowdsourcing Internetâ ofâ Things Neuralâ networks Webâ analytics
Industryâ 4. 0 Decision support systemts Customer relationship management Sentimentâ analysis Image analysis Webâ crawling
Naturalâ language processing Data visualization Monteâ Carlo simulations Standardâ reporting Knowledgeâ discovery Operational intelligence Heuristic
problem -solving Riskâ modeling Alerting Expertâ systems Ad-hocâ reporting Dataâ cubes/drillâ down Forecasting
Statisticalâ analysis Webâ search Yieldâ management Dataâ mining Telematics Predictiveâ modeling Discrete -event simulation Businesssâ intelligence
Machineâ learning Speechâ recognition Textâ mining Videoâ analysis Contextualâ marketing Userâ activityâ tracking Real-timeâ analytics
Advancedâ analytics Socialâ media monitoring Anticipatoryâ analytics Artificialâ intelligence An al yt ic s D
eg re e of s op hi st ic at io n Volume/complexity of data
BIG DATA Chapter 1. 3: Big data Maturity 44 The Global Information technology Report 2014 Â 2014 World Economic Forum
performance or allow them to gain access to new revenue pools This continuation of a trusted managerial approach
does not, however, imply an endorsement of inertia Rather, organizations must foster a new decision-making
culture to exploit the opportunities presented by big data and prepare their own internal capabilities to handle
this new era. At the same time, they must encourage governments to nurture an environment conducive to the
exploitation of big data THE BUSINESS IMPACT OF BIG DATA Many organizations are still in the early stages of reaping
the benefits of big data. Writing in the Harvard Business Review, Andrew Mcafee and Erik Brynjolfsson explored
the impact of big data on corporate performance. The authors interviewed executives in 330 publicly traded
companies in the United states. They then examined relevant performance data, enabling them to measure the extent to which corporate attitudes toward big data
correlated with how the respective companies were faring Mcafee and Brynjolfsson†s conclusions were remarkable for establishing a connection between
big data and performance: â€oethe more companies characterized themselves as data-driven, the better they performed on objective measures of financial
and operational results. †The advantage gained by these companies over their rivals was marked also:
â€oein particular, companies in the top third of their industry in the use of data-driven decision-making were, on
average, 5 percent more productive and 6 percent more profitable than their competitors. †4
Despite these findings, broad adoption of advanced big data practices has materialized not yet. A 2013 Gartner survey found that less than 8 percent of
companies surveyed have deployed actually big data technology. 5 Investment in forthcoming projects is much more widespread;
the research firm IDC has forecasted that the market for big data technology and services will reach US$16. 9 billion by 2015, up from US$3. 2 billion
in 2010. This represents a 40 percent annual growth rate, seven times the rate for the overall ICT business. 6
This trend is affecting all regions. For example, over 40 percent of chief information officers in the middle East
according to IDC, are considering big data technology investment in 2013. Although few have actually undertaken large-scale big data or analytics programs
to date, IDC forecasts investment in this area to grow at a compound annual growth rate of over 20 percent over
the coming five years. 7 Both expenditure and implementation vary substantially across regions, industries, and functional
domains. For example, highly digitized industries such as telecommunications and travel still tend to spend substantially more on big data projects than the energy
sector, and there is far more implementation of big data initiatives in the United states than in the Asia Pacific
region. Meanwhile, the Economist Intelligence Unit found that big data is enlisted most frequently to assist financial
management and marketing/sales, and deemed least valuable in human resources management. 8 How big data is used
The big data maturity stages (Figureâ 2) depict the various ways in which data can be used, from selective
adoption to large-scale implementation. Depending on the maturity of an organization†s big data capabilities big data can significantly increase top-line revenues
and markedly reduce operational expenses. The path to business model transformation, the highest level of maturity, promises potential high returns but often
involves major investment over many years The first maturity stage, performance management enables executives to view their own business more
clearly through, for example, user friendly management information dashboards. This stage typically relies on internal data, with an organization establishing key
performance indicators (KPIS) to evaluate its success at achieving stated goals During stage 2, functional area excellence
organizations start to experiment with internal and external data to improve selected facets of their
business. This may involve sales and marketing techniques such as customer segmentation and targeting, or entry-stage analytical methods for product
recommendations. For example, one retailer analyzed data recounting the past purchasing behavior of individual customers in conjunction with the company†s
most recent sales to predict and recommend each customer†s most likely next purchase. This resulted in a
revenue increase of up to 5 percent, depending on the customer segment Advances in operational efficiency through big data
such as the efficient deployment of staff resources and the optimization of the supply chain, also reside within
this maturity stage. Recent examples include a German car manufacturer that used real-time performance monitoring of production machinery to trigger a 20
percent increase in productivity. Each machine was tightly monitored to highlight downtime and plan around
those production disruptions to optimize the utilization of the overall plant. In the public sector, a Canadian hospital
observed previously unseen patterns in streaming data from monitoring of newborns, enabling detection of dangerous infections 24 hours before symptoms
appeared. 9 At the value proposition enhancement stage (stage 3), organizations start to monetize big data,
positioning it as a value driver of the business that offers a new source of competitive advantage beyond the mere improvement
of operations or services. In many instances this involves obtaining data from external sources and
The Global Information technology Report 2014 45 Chapter 1. 3: Big data Maturity  2014 World Economic Forum
deriving insights from it. This may include innovations such as customized, real-time recommendations or the personalization of services to augment the customer
experience For example, one leading European bank tailored its website content to trigger an increase of 12 percent
in sales. After customers logged in, the bank presented one of several alternative websites based on the relevant
individual†s transaction history and segment and the company†s overall product portfolio. The content was
specific to the predicted needs of the customer to maximize sales potential Data-rich organizations, such as retailers or
telecommunications companies, are equipped better than others to utilize their internally generated data in this way.
For instance, a global mass merchant was able to increase its profit per customer by 37 percent
by applying advanced customer analytics, such as behavioral segmentation, to identify its best customers and provide them with personalized offers.
The frequency of those target customers†purchases rose by approximately 25 percent, and the average basket size
increased by around 10 percent Another instructive case involved the US city of Los Angeles, which introduced demand-responsive pricing
for parking. The city sets specific prices for hourly parking in each street, varying according to the time
and day. These prices are based on in depth choice modeling, fed with data from parking sensors, surveys
weather forecasts, information about holidays, local business activities, and other information. The goal is to reach a steadily high,
Big data maturity stages and related use cases Source: Booz & Company Maturity stages Typical use cases/applications
•Website clickstream analysis •Loyalty schemes •Customer satisfaction opt •Supply chain balancing
•Data monetization •Online telematics services •Personalization of customer experience/products Stage 4
Business model transformation •Selling of data to open new revenue pools •Data-centric business models
e g.,, web search, web adver -tising •Quantitative management of investment funds •Crowdsourcing to augment
internal data Large-scale implementation Experimenting /selective adoption BIG DATA Chapter 1. 3: Big data Maturity 46 The Global Information technology Report 2014
 2014 World Economic Forum of parking space at all times. The initial results are impressive. Although city parking revenues increased
by 2. 4 percent due to higher utilization, 60 percent of parking rates actually fell and congestion during peak
hours decreased by 5 percent. 10 In the final maturity stage business model transformation, big data permeates the whole
organization. It becomes deeply embedded within the operation, determining the nature of the business and
the mode of executive decision-making This stage can be reached by both product and services organizations alike.
One example of the latter involves the recent merger of the two large advertising companies Omnicom and Publicis. Their industry is
moving away from the creative â€oemad Men†approach where a catchy phrase was the pinnacle of aspiration
toward a more science-based, data-driven business that aims to personalize ads. The ultimate goal is to
The Internet and mobile devices play a major role in this development. This new â€oead tech†world will be
comprehensive data about consumers and are thus able to understand them better†who they are, where
will produce the desired volume of data General electric (GE) provides a prominent example of a product organization placing great faith in big data
GE expects that machinery and equipment will soon be loaded with sensors, making in depth status data
available both in real time and across longer time spans To be at the forefront of this development,
more than US$1 billion in building up its data science capabilities to provide data and analytics services across
business functions and geographies. 11 Another showcase for the transformative potential of big data comes from the public sector. Regional
and national-level policymakers around the world are launching â€oeopen data†initiatives, making data available
to the public via integrated web portals and automated interfaces. Recent examples involve the United kingdom and New york city. 12 Although originally conceived as
a way of increasing the transparency of government decisions, the release of public data is an important
environmental factor enabling organizations to use big data, creating novel applications and services However, some organizations do not have to
progress through all the big data maturity stages A data-driven business model has been integral to companies such as Google, Facebook, and Twitter
which have burst on to the scene in recent years and are introducing new technologies to capture the digital
advertising market. Such companies actually started operations at the final stage. By doing so, they have
prompted others to proceed through the earlier stages to keep up Obstacles to progress Despite widespread interest in data-driven decision
-making in one form or another, companies face many potential pitfalls in extracting the maximum commercial
benefit from big data usage. Some of these relate to their own internal systems and culture;
available talent specializing in data analytics†data scientists with an advanced education in mathematics or statistics who are also able to translate raw data material
into exploitable commercial insights. Although many educational institutions have started now to establish courses to address this scarcity,
data that are fragmented across various systems geographies, and functional silos. Embracing the potential of big data as a concept will take organizations
only so far. First and foremost, they must get the basics right. Internal data has to be of high quality†consistent
accurate, and complete†and available across the organization The prevailing decision-making culture presents a major internal obstacle†the one that is the least
As big data extends its reach, executive instinct is challenged by the facts of hard data. However, while data can be of great
assistance in solving an actual problem, it still holds true that senior management has to ask the right questions
Many of the external challenges that companies face revolve around data privacy considerations. For example, very specific details of an individual†s lifestyle
preferences and buying habits are captured now and analyzed by companies through their own websites or by monitoring social media.
These details are all collected without that person†s explicit consent, leading to significant public reservations about big data.
Such concerns about privacy will strengthen demands for tighter regulatory control, potentially limiting companies†ability to exploit big data opportunities or exposing them
to threats of legal and regulatory intervention HOW TO REACH BIG DATA MATURITY Our big data maturity framework (Figureâ 3) comprises
three elements: the enablers of environment readiness the organization†s internal capabilities, and the different
stages of maturity and sophistication in which big data can be used. The framework enables organizations to
view the extent of their success in overcoming obstacles and identifies what more can be done to promote big
data maturity and reach the desired destination The Global Information technology Report 2014 47 Chapter 1. 3:
Big data Maturity  2014 World Economic Forum The environment readiness dimension considers how far the relevant governments have enabled
organizations in their jurisdiction to use big data freely and productively. This is achieved through appropriate regulations and a supportive infrastructure
The organization†s internal capabilities dimension sheds light on a company†s readiness to execute big
data. By building up these capabilities and integrating them effectively, organizations move further along the path of data-driven decision-making and position
themselves to extract greater benefits from big data While environment readiness serves as an enabler for big data usage, internal capabilities act as critical
success factors for organizations seeking to progress through the maturity stages The following two sections explain the full range
of actions that governments and organizations need to undertake and which of these take precedence
Environment readiness: Priorities for policymakers Big data will soon become ubiquitous practice in both the public and private worlds.
Policymakers therefore need to act in a timely manner to promote an environment that is supportive to organizations seeking
•formulate a vision for the usage of data consistent with the public interest, fostering a common
•enable a big data ecosystem by establishing policies to facilitate valid business models for third-party data, service, and information technology system
providers; and •speed and scale up the education of talent to address the likely significant shortage of talent
Big data maturity framework Source: Booz & Company Enablers of environment readiness Success factors for internal capabilities
of big data Traditional applications getting more out of data you already have New horizons of big data
Technical capabilities/infra -structure Regulatory framework for data privacy Dataâ availability andâ governance ICT infrastructure Sponsorship
Big data ecosystem Organizational capabilities and resources Public perception and awareness Data-driven decision-making culture Education/training
Stage 1 Performance management Stage 2 Functional area excellence Stage 3 Value proposition enhancement Stage 4
Business model transformation What can we read from the data What can we learn from the data
to become better How can we make data a value driver of our business How can we use data
to fundamentally reinvent our business Chapter 1. 3: Big data Maturity 48 The Global Information technology Report 2014
 2014 World Economic Forum Priorities for policymakers will vary in different parts of the world.
Developing countries, for example will concentrate on building up the required ICT infrastructure and education programs to prepare for
large-scale demand from organizations intent on using big data. In more developed countries, however, the government†s primary concerns should be ensuring
transparent regulation and promoting a public-interest argument for big data Policymakers must make the case for big data
In particular, policymakers should set clear rules regarding data privacy so that organizations know which personal data they can store and for how long, and
which data are forbidden explicitly by privacy regulations If the scope of permissible data is to expand
skeptical citizens must first be persuaded that big data will work in their favor by paving the way for better
products and services. Forward-thinking governments will initiate and inform this public debate about the benefits of big data.
Indeed, Jules Polonetsky and Omer Tene, in their Stanford Law Review article (2013 argue that finding the right balance between individualsâ€
legitimate privacy concerns and the overall rewards offered by big data practices may be the greatest contemporary public policy challenge. 13
The outcome of this debate will vary depending on the country. Cultural factors will have a strong bearing on
the decision about the right level of data privacy in any given country, and this decision will result in a regulatory
regime appropriate for citizens and organizations. On a regional level, groups such as the European union allow
possible harmonization of data privacy regulation across borders, given that the constituent countries may share attitudes on this issue
Policymakers should promote harmonization On a global level, though, no binding agreement to harmonize regulation around data privacy currently looks
likely in the short to medium term. Because countries have legitimate differences on this issue, this lack of
harmonization threatens the adoption of big data on an international scale The prevailing patchwork situation accentuates
the lack of clarity on lawful data usage†especially the question of which jurisdiction holds sway for certain
cross-border cases. For example, if data are owned by a company in the European union, but hosted on
servers in the United states, which privacy law applies Legal inconsistency between countries can even inhibit
free commerce across borders. This problem arises, for example, when an organization plans to outsource data
operations to a foreign provider, yet some personal data are prohibited from being transferred out of the country
concerned The Organisation for Economic Co-operation and Development (OECD) Guidelines on the Protection of
Privacy and Transborder Flows of Personal data, which were revised and updated in 2013, may represent a
practical step in the direction of harmonization. 14 In the absence of binding rules, a common understanding for
data privacy and data protection regulation on the basis of guidelines and recommendations from a high-profile international organization is the most sensible option
the limitation of collection of personal data, the specification of the purpose of data collection, the
protection of collected data, the prevention of data loss or unauthorized access, and the right of individuals to
obtain information about collected data. The guidelines have influenced in the past national legislation, including privacy acts in Australia, Japan, Mexico, and New
Zealand. We encourage both OECD members and non -members to review and adopt those basic principles and
should navigate the stages of big data maturity. They must each decide for themselves, based on their
executives still grappling with existing data, making intelligent use of what they already possess may have a
•develop a clear (big data strategy •prove the value of data in pilot schemes
•identify the owner for â€oebig data†in the organization and formally establish a â€oechief Data Scientistâ€
position (where applicable •recruit/train talent to ask the right questions and technical personnel to provide the systems and tools
to allow data scientists to answer those questions •position big data as an integral element of the
operating model; and •establish a data-driven decision culture and launch a communication campaign around it
Quick wins Organizations should resist expensive upfront infrastructure investments for overly ambitious big data projects. Instead, they should select opportunities for
high business impact and adopt pilot schemes that also allow for periodic refinements along the way
Seeking out proprietary data that can be immediately exploited for commercial gain may provide The Global Information technology Report 2014 49
Chapter 1. 3: Big data Maturity  2014 World Economic Forum one such quick win. For example, a mobile phone
operator can collect anonymized real-time travel patterns, which are of value for navigation system operators that want to provide up-to-date traffic
information to their customers Help from outside External data providers can offer all types of data to
organizations and can therefore complement existing data-gathering efforts. Typical datasets offered by external providers include contact, lifestyle, and
demographic information on (market segments of) individuals. Social media platforms are also demonstrated to be great sources of relevant big dataâ€
for example, for sentiment analysis (to determine the voice and desires of the consumer) or for personalizing
In addition to sourcing data from outside the organization, the selective use of external analytics service providers can also prove instrumental
in establishing big data maturity quickly, while potentially training employees to take on these tasks themselves CONCLUSION
We currently see big data as poised to have significant impact in public and business spaces alike.
-scale investment is flowing into establishing big data capabilities in many organizations, despite the limited number of cases in which it has been used successfully
already acknowledge the future influence of data-driven decision-making However, organizations confront vast differences in their ability to utilize big data to good effect, as seen
in their stages of big data maturity. These differences range from adopting big data practices for operational
improvement in selected functional areas or building or revamping an organization†s value proposition to
completely transforming their business model based on big data. At the more advanced stages, organizations learn to monetize big data far beyond simply getting
better at what they are currently doing; learning this lesson is an accomplishment that can mean a
fundamental shift for them. Environment readiness plays a pivotal role in enabling such success, because
data Nonetheless, policymakers and organizations in general still have much to do if they want to realize the
full potential of big data. For their part, governments throughout the world need to create a supportive
environment for the usage of big data to attract business to their region. Meanwhile, organizations must act
effectively deploy big data. They will have to predict what the world of data-driven insights will look like in the
medium term, anticipate which trends will lead there, and position their organization accordingly Within the next five years, big data will become the
norm, enabling a new horizon of personalization for both products and services. Wise leaders will soon embrace
the game-changing opportunities that big data affords for their societies and organizations, and will provide the
1 IBM, no date. â€oewhat Is Big data? †2 Constine 2012 3 Aberdeen Group 2013
4 Mcafee and Brynjolfsson 2012, p. 6 5 Gartner 2013 6 The New york times 2012 7 ITP. net 2013
12 In the UK, the initiative is available at http://data. gov. uk/;/in New york city it is available at https://data. cityofnewyork. us
/13 Polonetsky and Tene 2013 14 OECD 2013 REFERENCES Aberdeen Group. 2013. â€oebig Data Trends in 2013, †February 1.
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Businessweek, April 26. Available at http://www. businessweek com/articles/2012-04-26/ges-billion-dollar-bet on-big data
Constine, J. 2012. â€oehow Big Is Facebook†s Data? 2. 5 Billion Pieces of Content and 500+Terabytes Ingested Every day. †Tech Crunch
Conference Highlights, August 22. Available at http://techcrunch com/2012/08/22/how-big-is-facebooks-data-2-5-billion-pieces-of
-content-and-500-terabytes-ingested-everyday /The Economist Intelligence Unit. 2013. â€oethe Evolving Role of Data in
Decision-making. †Available at http://www. economistinsights. com /analysis/evolving-role-data-decision-making Gartner. 2013. â€oesurvey Analysis:
Big data Adoption in 2013 Shows Substance Behind the Hype. †Available at http://www. gartner. com
/id=2589121 IBM. No date. â€oewhat Is Big data? †Available at http://www. ibm. com
/big data ITP. net. 2013. â€oedwtc to Highlight Big data at GITEX: Event Organiser to Host First Ever Big data Conference on October 22, †September
29. Available at http://www. itp. net/595102-dwtc-to-highlight-big -data-at-gitex#.
#Ukrz9oasiso Mcafee, A. and E. Brynjolfsson. 2012. â€oebig Data: The Management Revolution. †Harvard Business Review, October.
Available at http://hbr. org/2012/10/big data-the-management-revolution Munford, M. 2013. â€oedon†t Follow the Leaders, Watch the Parking
Meters. †The Daily telegraph, September 15. Available at http://www. telegraph. co. uk/technology/news/10307926/Dont
-follow-leaders-watch-the-parking-meters. html Chapter 1. 3: Big data Maturity 50 The Global Information technology Report 2014
 2014 World Economic Forum The New york times. 2012. â€oeidc Sizes Up the Big data Market, †March
7. Available at http://bits. blogs. nytimes. com/2012/03/07/idc -sizes-up-the-big data-market/?
/r=0 OECD (Organisation for Economic Co-operation and Development 2013. OECD Guidelines on the Protection of Privacy and
Transborder Flows of Personal data. Available at http://www. oecd. org/internet/ieconomy/oecdguidelinesonthe protectionofprivacyandtransborderflowsofpersonaldata. htm
Polonetsky, J. and O. Tene. 2013. â€oeprivacy and Big data: Making Ends Meet. †66 Stanford Law Review 25 september 3. Available at
http://www. stanfordlawreview. org/sites/default/files/online/topics /Polonetskytene. pdf The Global Information technology Report 2014 51
Chapter 1. 3: Big data Maturity  2014 World Economic Forum  2014 World Economic Forum
CHAPTER 1. 4 Big data: Balancing the Risks and Rewards of Data-Driven Public Policy ALEX PENTLAND
MIT In June 2013, massive US surveillance of phone records and Internet data was revealed by former
National security agency (NSA) contractor Edward Snowden, who called these activities the â€oearchitecture of oppression. †His disclosures ignited an overdue
public debate on the balance between personal privacy and our growing digital capabilities regarding the collection and use of personal data.
Finding this balance is an issue of vital and urgent interest to corporations and governments as well as to ordinary
citizens around the world. This chapter will outline both the risks and the rewards of this new age of big data
address policy issues in this area, and provide practical recommendations for a way forward Data about human behavior, such as census data
have always been essential for both government and industry to function. In recent years, however, a new
methodology for collecting data about human behavior has emerged. By analyzing patterns within the â€oedigital breadcrumbs†that we all leave behind us as we move
through the world (call records, credit card transactions and global positioning system, or GPS, location fixes
for example), scientists are discovering that we can begin to explain many things†such as financial crashes
revolutions, panics†that previously appeared to be random events. These new tools, with the perspective
they provide on life in all its complexity, shape the future of social science and public policy.
Just as the microscope and telescope revolutionized the study of biology and astronomy, â€oesocioscopes†have the potential
to revolutionize regulation and public policy The risk of deploying this sort of data-driven policy
and regulation comes from the danger of putting so much personal data into the hands of either companies
or governments. Fortunately, new approaches to regulation and technology that can help protect personal privacy from exploitation have been developed.
These approaches can mitigate the problem of government overreach as well. Both regulation and technology must
continue to evolve in order to provide more scientific real-time public policy while protecting citizens from the
dangers of exploitative companies or an all-knowing authoritarian government. This chapter will provide practical recommendations to achieve these goals
A BIG DATA TAXONOMY It is probably hopeless to try to provide a detailed taxonomy of data types and uses because the
technology is progressing so quickly. But it is possible to provide a broad taxonomy framed in terms of control
The three main divisions within the spectrum of data control are:(1) data commons, which are available to
all, with at most minor limitations on use;(2) personal or proprietary data, which are controlled typically by
individuals or companies, and for which legal and technology infrastructure must provide strict control and
auditing of use; and (3) the secret data of governments The Global Information technology Report 2014 53
 2014 World Economic Forum which typically has less direct public oversight and more stringent controls.
The issues of data commons will be addressed first, followed by concerns about personal and proprietary data,
and, finally, issues of secret government data The preferred lens for examining these issues is
experimentation in the real world rather than arguments from theory or first principles, because using massive live data to design institutions
and policies is outside of our traditional way of managing things. In this new digital era we cannot rely only on existing policy, tradition, or
even laboratory science, because the strengths and weaknesses of big data analysis are very different from those obtained through standard information
sources. To begin to manage our society in a data -driven manner requires us to move beyond academic
debate and laboratory question -and-answer processes Instead, we need to try out new policy ideas within living
laboratories†real, diverse communities that are willing to try a new way of doing thingsâ€
Data commons The first entry in the data taxonomy is the data commons. A key insight is that our data are worth more
when shared because they can inform improvements in systems such as public health, transportation, and government. Using a â€oedigital data commons†can
potentially give us unprecedented ability to measure how our policies are performing so we can know when to act
quickly and effectively to address a situation We already have many data commons available maps, census data,
and financial indices, for example With the advent of big data, we can potentially develop many more types of data commons;
these commons can be both accessible in real time and far more detailed than previous, hand-built data commons (e g.,
, census data, etc..This is because the new digital commons depend mostly on data that are produced already as a
side effect of ongoing daily life (e g.,, digital transaction records, cell phone location fixes, road toll records, etc
and because they can be produced automatically by computers without human intervention One major concern with these new data commons
is that they can endanger personal privacy. Another secondary, concern involves the tension between proprietary interests, both commercial and personal
and the goal of putting data in the commons. Acceding to these proprietary interests might tend to reduce the
richness of such a commons, which would diminish the ability of such a data commons to enable significant
public goods To explore the viability of a big data commons, what is perhaps the world†s first true big data commons was
unveiled on May 1, 2013. In this Data for Development D4d) initiative, 90 research organizations from around
the world reported hundreds of results from their analysis of data describing the mobility and call patterns of the
citizens of the entire African country CÃ'te d†Ivoire. 1 The data were donated by the mobile carrier Orange, with
help from the University of Louvain (Belgium) and the MIT Human Dynamics Laboratory (United states), along
with collaboration from Bouake University (CÃ'te d†Ivoire the United Nation†s Global Pulse, the World Economic
Forum, and the GSMA (the mobile carriers†international trade association. The D4d program was led by Nicolas
De Cordes (Orange), Vincent Blondel (Louvain), Alex Pentland (MIT), Robert Kirkpatrick (UN Global Pulse), and
Bill Hoffman (World Economic Forum The research projects conducted by the 90 participating organizations explored the use of this data
commons, covering many different aspects of better governance. An example of using the D4d data to
improve social equality was highlighted by work done by researchers at the University college of London who developed a method for mapping poverty from
the diversity of cell phone usage. As people have more disposable income, they explore or sample their
D4d data to enhance social equality is the mapping of ethnic boundaries by researchers from the University
The D4d data were utilized also to understand and promote operational efficiency through an analysis of
Finally, examples of using D4d data to improve social resiliency include analysis of disease spread
Big data: Balancing the Risks and Rewards of Data-Driven Public Policy 54 The Global Information technology Report 2014
 2014 World Economic Forum Box 1: The future of big data and governance The Data for Development (D4d) data commons is only a
small first step toward improving governance by using big data. Much more can be accomplished because our current
understanding of policy and human society is based on very limited data resources. Currently, most social science
is based either on analysis of laboratory experiments or on survey data. These approaches miss the critical fact that
it is the details of which people you interact with, and how you interact with them, that truly matter.
Social phenomena are made up of billions of small transactions between individuals†people trading not only goods and money but
also information, ideas, or just gossip. There are patterns in those individual transactions that drive phenomena such as
Big data gives us†for the first time†a chance to view society in all its
duration of the data collection; the vertical axis shows the richness of the information collected
Unfortunately, as illustrated in Figure A, almost all data from traditional social science (labeled â€oe1†in the figure) are near
to discover how to leverage big data and have been using datasets from companies such as cell phone carriers and
social media firms. Typical examples of these studies are labeled â€oe4. †Unfortunately, even these large datasets are
impoverished because they measure only a few variables at a time, thus providing only a very limited view of human
Recently data scientists have developed living lab technologies for harvesting digital breadcrumbs, and are now obtaining much richer descriptions of human behavior.
use smart phones or electronic name badges (sociometers to collect data. 2 The point labeled â€oe9†is the D4d dataset that
covers the entire country of CÃ'te d†Ivoire. 3 Just a brief examination of Figure A makes it easy to see
continuous, dense data that allow us to build quantitative predictive models of human behavior in complex, everyday
available incredibly rich data about the behavior of virtually all of humanity on a continuous basis. The data mostly
already exist in cell phone networks, credit card databases and elsewhere, but currently only technical gurus have
access to them. As these digital data become more widely available for scientific inquiry, we will be able to understand
and manage ourselves in ways better suited to our complex interconnected, and networked society Notes
The Global Information technology Report 2014 55 Chapter 1. 4: Big data: Balancing the Risks and Rewards of Data-Driven Public Policy
 2014 World Economic Forum These selected results are just a small sample of the impressive work that is made possible by this rich
and unique data commons. These results and others like them are available at http://www. d4d. orange. com/home
Each of these D4d research projects has demonstrated the great potential of a big data commons for improving
people†s living conditions. From the point of view of Orange, it also demonstrates the potential for new
lines of business that combine this data commons with customers†personal data: imagine phone applications that advise commuters about which bus will get them to
work quickest, or that help citizens reduce their risk of catching the flu The work of these 90 research groups also
with the release of data about human behavior may be generally misunderstood. In this data commons, the
data were processed by advanced computer algorithms e g.,, sophisticated sampling and the use of aggregated indicators) so that it was unlikely that any individual could
be identified re. In fact, no path to re-identification was discovered even though several of the research groups
In addition, although the data were freely available for any legitimate research in which a group was
interested, the data were distributed under a legal contract that specified that they could be used only
The use of both advanced computer algorithms and contract law to specify and audit how
personal data may be used and shared is the goal of new privacy regulations in the European union, the
United states, and elsewhere Personal and proprietary data The second category in the data taxonomy is personal
and proprietary data, which are controlled typically by individuals or companies, and for which legal and
technology infrastructure that provides strict control and auditing of use is needed. The current best practice is
a system of data sharing called trust networks. 2 Trust networks are a combination of a computer network
that keeps track of user permissions for each piece of personal data and a legal contract that specifies both
what can and cannot be done with the data and what happens if there is a violation of the permissions.
This is the model of personal data management that is most frequently proposed within the World Economic Forum
Personal data Initiative In such a system, all personal data have attached labels specifying what the data can,
and cannot, be used for. These labels are matched exactly by terms in a legal contract between all the participants stating
penalties for not obeying the permission labels and giving the right to audit the use of the data.
Having permissions, including the provenance of the data allows automatic auditing of data use and allows
individuals to change their permissions and withdraw their individual data Today, longstanding versions of trust networks have
proven to be both secure and robust. The best known example is the SWIFT network for inter-bank money
transfer; its most distinguishing feature is that it has never been hacked. When asked why he robbed banks
bank robber Willie Sutton famously said, â€oebecause that†s where the money is. †In today†s world, the SWIFT
network is where the money is†trillions of dollars are moved through the network each day.
This trust network has kept not only the robbers away, but it also makes sure the money reliably goes where it is supposed to go
of managing personal data, the MIT Human Dynamics Laboratory (http://hd. media. mit. edu), in partnership
with the Institute for Data Driven Design (http://idcubed org), have helped build openpds (open Personal data
Store) †a consumer version of this type of system We are now testing it with a variety of industry and
many companies already maintain such data structures in order to support internal compliance and auditing functions, the cost concern does not appear to be a
is the extent to which incidental data about human behavior must be included in the permissions and
Such data are collected typically in the course of normal operations in order to support those operations (e g.,
(or deserve) the sort of user trust that the name suggests In order to investigate these concerns, a living
supported by Telecom italia, Telefonica, the MIT Human Dynamics Laboratory, the Fondazione Bruno Kessler the Institute for Data Driven Design, and local companies
within Trento. Importantly, this living lab has the approval and informed consent of all its participants†they know
new ways of sharing data to promote greater civic engagement and information diffusion. One specific goal
is to build upon and test trust-network software such as the openpds system by deploying a set of â€oepersonal
data services†designed to enable users to collect store, manage, disclose, share, and use data about
Chapter 1. 4: Big data: Balancing the Risks and Rewards of Data-Driven Public Policy 56 The Global Information technology Report 2014
 2014 World Economic Forum themselves. For example, the openpds system lets the community of young families learn from each other
without the work of entering data by hand or the risks associated with sharing through current social media
These data can then be used for the personal self -empowerment of each member, or (when aggregated
for the creation of a data commons that supports improvement of the community†for example, a map
that shows disposable income for each neighborhood can stimulate better distribution of community services The ability to share data safely should enable better idea
flow among individuals, companies, and government we want to see if these tools can in fact increase
productivity and creative output at the scale of an entire city The Trento living lab will also investigate how to
deal with the sensitivities of collecting and using deeply personal data in real-world situations. For example, it
will explore different techniques and methodologies to protect the users†privacy while at the same time being able to use personal data†typically mobility
financial, and medical records†to generate a useful data commons. It will also explore different user interfaces
for privacy settings, for configuring the data collected for the data disclosed to applications, and for those
data shared with other users, all in the context of a trust framework. Although the Trento experiment is still in its
early days, the initial reaction from participating families is that these sorts of data sharing capabilities are
valuable, and they feel safe sharing their data using the openpds system Government data The third category in the taxonomy is secret government
data. A major risk of deploying data-driven policies and regulations comes from the danger of putting so much
personal data into the hands of governments. But how can it happen that governments, especially authoritarian
governments, choose to limit their reach? The answer is that unlimited access to data about the citizen behavior
is a great danger to the government as well as to its citizenry. Consider the NSA€ s response to the recent
Snowden leaks â€oethis failure originated from two practices that we need to reverse, †Ashton B. Carter
the deputy secretary of defense, said recently. â€oethere was an enormous amount of information concentrated in one place, â€
he said. â€oethat†s a mistake. †And second no individual should be given the kind of
That is, the government must organize big data resources in a distributed manner, with each different type of data separated
and dispersed among many locations, using many different types of computer systems and encryption. Similarly, human resources
should be organized into cells of access and permission that are localized both spatially and by data type
Both computer and human resources should always be fragmented redundant and in order to avoid overly powerful central actors
The logic behind this observation is that databases that have different types of data that are physically and
logically distributed, and that also have heterogeneous computer and encryption systems, are hard to attack
both physically as well as through cyberattack. This is because any single exploit is likely to gain access
to only a limited part of the whole database. Similarly the resilience of organizations with a heterogeneous
cell-like human and permissions structure is familiar from intelligence and terrorist organizations Importantly, resistance to attack by adopting a
access to data about citizen behavior can be a major aid to organizing a successful coup to overthrow the
a big data government will trample individual freedoms The key insight is that for these types of data systems
each type of data analysis operation has a characteristic pattern of communication between different databases and human operators.
As a consequence, it is possible to monitor the functioning of the data analysis process without gaining access to,
or endangering, the analysis content. In short, one can use â€oemetadata about metadata†in order to monitor the use of metadata
and with some reasonable confidence one can ensure that only normal and usual analysis operations are
Governments that structure their data resources in this manner can more easily monitor attacks and misuse of
all sorts As a concrete example, let us assume a system in which different types of databases are physically
distributed. In this case one can observe the amount and pattern of traffic between the different databases
These patterns are characteristic of the analysis being performed, and so deviations from the normal patterns
of communication between databases are cause for concern. In this manner, an open civil authority can perform substantial, fairly effective monitoring of the
The Global Information technology Report 2014 57 Chapter 1. 4: Big data: Balancing the Risks and Rewards of Data-Driven Public Policy
 2014 World Economic Forum the requested records) remains hidden. For example, a health official responsible for maintaining health records
will be able to see if those records are suddenly being accessed by the finance records office with unusual
when copies of all the data types are all in one place (as when all the records are located in one filing cabinet), it
The computer architecture for the type of system that relies on multiple, distributed types of oversight
distributed data stores with permissions, provenance, and auditing for sharing among data stores. In this case, however, the data
stores are segmented by their referent†for example tax records for individuals, tax records for companies import records from country X to port Y, and so
on†rather than having one data store per person Because the architecture is so similar to the citizen
-centric personal data stores, it enables easier and safer sharing of data between citizens and government.
For this reason, several states within the United states are beginning to test this architecture for both internal and
external data analysis services Finally, it should not escape the reader†s attention that all of these lessons also apply to companies with
large, complex databases. Misbehavior by employees industrial espionage, and cyberattack are among the greatest dangers that companies face in the big data
era. A distributed architecture of databases joined with a network that supports permissions, provenance and auditing can reduce risk
and increase resilience of companies†internal data analysis functions SUMMARY We are entering a big data world, where governance
is driven far more by data than it has been in the past Basic to the success of a data-driven society is the
protection of personal privacy and freedom. Discussions at the World Economic Forum have made substantial contributions to altering the privacy and data ownership
standards around the world in order to give individuals unprecedented control over data that are about them, while at the same time providing for increased
transparency and engagement in both the public and private spheres We still face the challenge that large organizations
in particular governments and corporations, may be tempted to abuse the power of the data that they
hold. To address this concern, we need to establish best practices that are in the interest of both large
organizations and individuals. This chapter has suggested one path that can limit potential abuses of
power while at the same time providing greater security for organizations that use big data. The key policy recommendations for all large organizations, commercial
or government, are that 1. Large data systems should store data in a distributed manner, separated by type (e g.,
, financial vs. health) and real-world categories (e g.,, individual vs. corporate. These systems should be managed by a department whose function is focused on
those data, with sharing permissions set and monitored by personnel from that department Best practice would have the custodians of data be
regional and use heterogeneous computer systems With such safeguards in place, it is difficult to attack many different types of data at once,
and it is more difficult to combine data types without authentic authorization 2. Data sharing should always maintain provenance
and permissions associated with data, and should support automatic, tamper-proof auditing. Best practice would share answers only to questions
about the data (e g.,, by using the preprogrammed structured query language, or SQL, queries known as â€oedatabase Viewsâ€) rather than sharing
the data themselves, whenever possible. This allows improved internal compliance and auditing and helps to minimize the risk of unauthorized
information leakage by providing the minimum amount of information required 3. Systems controlled by partner organizations, and
not just one†s own systems, should be secure External data sharing should take place only between data systems that have similar local
control, permissions, provenance, and auditing and should include the use of standardized legal agreements such as those employed in trust
networks, as described earlier. Without such safeguards, data can be siphoned off at either the data source or at the end consumer, without even
attacking central system directly 4. The need for a secure data ecosystem extends to the private data of individuals and the proprietary
data of partner companies. As a consequence, best practice for data flows to and from individual citizens
and businesses is to require them to have secure personal data stores and be enrolled in a trust
network data sharing agreement. 6 5. All entities should employ secure identity credentials at all times. Best practice is to base these
credentials on biometric signatures. 7 6. Create an â€oeopen†data commons that is available to partners under a lightweight legal agreement
such as the trust network agreements. Open data can generate great value by allowing third parties to
improve services Although these recommendations might seem cumbersome at first glance, they are for the most part easily implemented with the standard protocols already
Chapter 1. 4: Big data: Balancing the Risks and Rewards of Data-Driven Public Policy 58 The Global Information technology Report 2014
 2014 World Economic Forum found within modern computer databases and networks In many cases, the use of distributed data stores and
management are already part of current practice, and so the entire system will be simpler and cheaper to
implement than a centralized solution: all that is really new is the careful use of provenance, permissions, and
auditing within a legal or regulatory framework such as a trust network. Most importantly, these recommendations will result in a data ecosystem that is more secure and
resilient, allowing us to safely reap the advantages of using big data to help set and monitor public policy
NOTES 1 See the D4d challenge, available at http://www. d4d. orange. com /home 2 For examples of trust networks, see Pentland 2009;
World Economic Forum 2011; and the Institute for Data Driven Design available at http://idcubed. org
3 For details about openpds, see http://idcubed. org/open-platform /openpds-project /4 For information about the Mobile Territorial Lab (MTL), see
http://www. mobileterritoriallab. eu /5 Sanger 2013 6 Pentland 2009; World Economic Forum 2011; http://idcubed. org
7 See http://openid. net/connect /REFERENCES Barker, R. 1968. Ecological Psychology: Concepts and Methods for
Studying the Environment of Human Behavior. Palo alto, CA Stanford university Press Dawber, T. 1980. The Framingham Study:
ID3 (Institute for Data Driven Design, or idcubed. Available at http://idcubed. org MTL (Mobile Territorial Lab). Available at http://www. mobileterritoriallab. eu
/Openid Connect. Available at http://openid. net/connect /Orange. D4d Challenge. Available at http://www. d4d. orange. com/home
a New deal on Data. †In The Global Information technology Report 2008†2009: Mobility in a Networked World.
/main/fullreport/files/Chap1/1. 6. pdf ††â€. 2014. Social Physics: How Good Ideas Spread†The Lessons
-riddle-what-is-top-secret. html? r=0 World Economic Forum. 2011. Personal data: The Emergence of a
New Asset Class. Geneva: World Economic Forum Available at http://www3. weforum. org/docs/WEF ITTC
Personaldatanewasset report 2011. pdf The Global Information technology Report 2014 59 Chapter 1. 4: Big data: Balancing the Risks and Rewards of Data-Driven Public Policy
 2014 World Economic Forum  2014 World Economic Forum CHAPTER 1. 5 Managing the Risks
and Rewards of Big data MATT QUINN CHRIS TAYLOR TIBCO One of the biggest challenges of the term big data is
deciding on a standard definition of what those words really mean. For many companies that have worked in an
environment of large datasets, fast-moving information and data that lack traditional structure, working in an
environment of big data is just business as usual. In this chapter we will discuss how managing the growing
challenge of data is not new for a regional healthcare organization in the Midwestern United states, a global
logistics company, and a major American retailer. But for a majority of organizations, which have integrated neither
data nor built a strategy around its use, the term big data itself is a way to express the sudden digitization
of many things that have been with us forever but were not previously captured and stored as data.
For most companies, big data represents a significant challenge to growth and competitive positioning. In some cases, it
represents the survival of the business BIG DATA: RISKS AND REWARDS Digitization itself is not new,
but the maturation and availability of the Internet; the rapid growth of mobile computing; and, more recently, the addition of sensor
data (data derived from devices that sense their environment) to the mix have pushed all the boundaries
of how we think about data and its uses. The term big data represents the need for a new way of thinking but
also implies new tools and new ways of managing data Like many things, data can be used to do positive things
for the world, but it can also be used to manipulate embarrass, or repress. Data can be highly accurate
and efficiently structured or unstructured, fragmented and highly suspect. Data can also be managed well or
carelessly. Big data, in its outsized properties, amplifies those effects. It is in those extremes that the risks and
rewards of big data are decided THREE KEY BIG DATA TRENDS As the world becomes more familiar with big data
three key trends that have a significant impact on those risks and rewards are emerging.
First and foremost big data leverages previously untapped data sources Those sources are of several types. The first includes
wearable devices that stream data about an individual and his or her surrounding environment on a moment
-by-moment basis†such sensors include the applications on a smartphone that sense movement. The sensor in
a runner†s shoe is a very consumer-facing example, but business-facing sensors, which track all kinds of things
are proliferating very quickly. A pacemaker is a sensor that has been around a while (the newer models give
feedback to healthcare workers The next type comprises connected sensors that instantly digitize and report what is happening in any
moment and in any location. Examples of this type include the global positioning system (GPS) device that
reports location back to a central computer or a user The Global Information technology Report 2014 61
 2014 World Economic Forum and devices in the soil of a farm that sense when and
how much to irrigate. There are also sensors in trains for example, that watch for signals that maintenance is
necessary before a human could ever see them, such as brake heat, brake wear, movement in the rails, and so
is connected to the Internet, making big data even bigger than human-generated information The third type of sensor provides constant
are controlled increasingly computer. Those computer controls mean not only that data are constantly being fed into machines but that they are also coming out of
machines at a quickly increasing rate We have reached a point of information discovery that reveals correlation before causation,
leaving researchers scratching their heads to find the underlying causes for correlations that data analysis clearly
demonstrates. TIBCO€ s chief executive officer, Vivek Ranadive, is fond of saying that we have reached a point where we may know the â€oewhat†without knowing the
a data ecosystem that can be modeled in a way that blends historical with in-the-moment information and
right data together in the right moments that allow for the right response and outcome. Whatever we may know
data sources will continue to change and improve our models, allowing us to better anticipate future events
second trend of big data: the need for automation technologies. Richard Hackathorn wrote about the value
acutely aware of the explosion of data. 1 Hackathorn†s curve describes the decreasing value of data over time
as it passes through stages of use (Figureâ 1 The challenge of the decreasing value of data over
time has become even more meaningful in the age of big data. Today, the volume, velocity, and variety of data
continue to push the curve down and to the right as organizations struggle to capture, analyze,
and decide in a gradually more difficult environment. Added to this complexity is the increasing access to real-time data
that leaves organizations in some industries attempting to reduce their response time to microseconds understanding that this is a crucial part of being
The value-time curve challenge makes big data management a function of creating automation wherever possible.
and big data follows the same path. Big data†s growth in each of its dimensions
better and better tools that can manage data far more quickly and efficiently than a human can. Data exist in
a moment, ready for decision and action, but there is a higher-level purpose for information.
Data comprise the digital representation of events, or things that happen in patterns that occur over time, in conjunction with other
for data to arrive or change. Automation is especially well suited to the complexity of predicting, and then
The big data conversation often centers on the use of machines as the best resource for the storage and
analytic processing of vast amounts of data, but this is only a piece of the story.
each piece of data as it flows over the enterprise so that decisions can be made†some through automation
frame possible before the value of data decays further The third trend being driven by big data is the
necessity for adaptable, less fragile systems. For big data to leverage previously untapped sources of information, organizations need to quickly adapt to
the opportunities and risks represented by these new sources. Automated systems that manage big data ecosystems cannot be developed around rigid schemas
that require redevelopment for each new stream of information. Instead, systems need to absorb new
existing data that have already been collected. Adaptable systems treat new sources of data coming constantly as
the means to improve analytical models, create better decisions, and drive more appropriate actions Chapter 1. 5:
Managing the Risks and Rewards of Big data 62 The Global Information technology Report 2014 Â 2014 World Economic Forum
RESOLVING TWO PRIMARY CHALLENGES OF BIG DATA Most organizations need to overcome two primary challenges before becoming productive with big data
The first is need the for powerful visualization that allows the business to explore data to find questions
worth answering. This stands the traditional business intelligence model on its head, as the pre†big data
model began with the business asking a question and ended with information technology structuring data to answer those questions in a very repeatable way
typically as dashboards. Visualization instead begins with capturing all data available so that multi-structured and
iterative discovery can take place that reveals information with or without having the right question. Visualization
lets the data speak for themselves Humans are suited extremely well to visual analysis Our brains are wired to very rapidly assimilate what we
see and spot patterns. Using our eyes, we can spot a trend or an outlier in a fraction of a second, far faster
than we can by sifting through numbers on a screen. If a picture is worth a thousand words,
petabytes, terabytes, and more of raw data. Visualized data and the human mind make for a highly efficient
combination. Most importantly, visualized data have the effect of engaging the nontechnical but business-savvy human in the iterative process of discovering exploitable
insight. This lessens the organization†s reliance on technical resources and, specifically, on data scientists
The second hurdle that organizations face is the need to manage ever-larger amounts of Data systems
when the data are increasing in size, speed, and complexity. Unfortunately, when people talk about â€oebig
to the beginning of computerization when data were processed as batches of transactions that represented a
Thinking of big data in those terms fails to take into account all of the data being created everywhere, every day.
This compartmentalized view can also deprecate data that may not appear useful or valuable or may be difficult to process.
At a point in the future, organizations will very likely look back and wish they had considered all data when deciding
what to store. When we consider data without specific boundaries, we can focus our efforts on linking data
together and analyzing them more broadly. We will probably find the data have value for a wider range of
people in the organization than originally anticipated When we consider all data, we can see the value
of discovering the connectivity of data. This brings into consideration different data types that are used to adorn
our original data and make them more valuable as a source of visual, predictive, and operational analytics
Why does that matter? We have grown accustomed to having instantaneous answers to our questions. As data
grow, they have the very real likelihood of slowing down how decisions are made. Nonlinear growth taxes our
systems and creates the scenario that every day we get bogged down more as untapped data sources become
newly available, our clever automations become less effective, and our systems seem less adaptable than
before. An all-data approach allows the organization to see today†s information as the best we have in the
moment, knowing that we will continue to layer on more DATA LATENCY ANALYSIS LATENCY DECISION LATENCY
Business event Data stored Information delivered Action taken Figure 1: The value-time curve Source:
Hackathorn 2004 l Process entry and exit l Process intermediate steps Time Va lu e
The Global Information technology Report 2014 63 Chapter 1. 5: Managing the Risks and Rewards of Big data
 2014 World Economic Forum data†not with the goal of having a larger dataset, but
instead with the goal of using all of the data available to gain the best outcome.
results, using all available data takes into account data linkages and permits a broad analysis that allows the
constantly additive benefits of all data allows experts to be able to explore data to find their value.
For a retailer, that means being able to explore diverse data that include historical visits to the website as well as
transactions completed or shopping carts abandoned with the addition of geographical information from a mobile society, the retailer has an ability to understand
the ambient circumstances at the time decisions are being made ENSURING THAT HUMANS STAY IN THE LOOP
approach to how big data is being used and apply the right level of oversight. There are two specific reasons for
a need to ensure that data are not being used in a way that goes against the organization†s best interests.
Data are very powerful, and organizations need to ensure that information is being collected stored, analyzed,
We have watched the sharing of personal data increase year after year since people first connected across the Internet.
Many of the risks and rewards of big data are coupled tightly to the use of all of those data.
On the reward side, data can be used to create far better customer service by knowing the customers†needs and
histories. They can be used to create more personalized offers based on customers†preferences and their loyalty
to a brand. From this perspective, data can be used to engage the customer and to create a better relationship
that serves everyone†s needs. Healthcare-related personal information improves treatment and saves lives both at the individual level and in aggregate, as clinical
trials of sample patients give way to all data about every patient Personalization and healthcare offer two standout
opportunities for big data to reward us. At the same time, big data comes with privacy concerns that are
not simply related to technology but are also about very human things such as privacy, all-knowing â€oecreepiness, â€
Given enough personal data information can be correlated that can be both unsettling and unwanted. Today†s public, legislative, and legal
governments as well as for the software companies that sit in the middle, confronted with inconsistent norms and
the need to protect data both at a discrete level and maybe even more importantly, at an aggregate level
someone†s Facebook status with the location where he or she logged in to pay an electric bill with the home
movement, and dissemination of data, but in our haste to build out the largest datasets and the maximum
Managing the Risks and Rewards of Big data 64 The Global Information technology Report 2014 Â 2014 World Economic Forum
stretching of the boundaries of individual expectations Throughout the evolution of big data, the capability to govern data appropriately has existed, but unless
organizations make the choice themselves or are pushed by legal or public pressure, the protection of personal
privacy remains a low priority SHOWING BIG DATA€ S SOPHISTICATED SYSTEMS Gaining benefits from big data
while mitigating risks is entirely a matter of data systems sophistication. This section will explore three examples that demonstrate the
successful use of big data The first example of that sophistication is on display at a major network of hospitals in the Midwest to
address the problem of sepsis†the systemic infection of the body†which is a constant threat to hospitalized
patient data despite that patient†s location within the hospital and despite the siloed information technology
systems that are all too common in healthcare. Most of all the system needed to bring data together in a
way that allows high-speed correlation, based on prior analysis of sepsis data, so that medical staff can be
alerted within lifesaving time frames. This company†s sophisticated system was successful at significantly shortening time frames for response to sepsis and
big data transformation. It has become far more complicated in recent years because of the explosion of data that connect the customer†s customer and the
supplier†s supplier. We are able to know significantly more in the form of digital data that not only allow the
prediction of outcomes but that also allow us to make operational decisions at any point along the supply
data to monitor not just the arrival and departure of aircraft but also the aircraft altimeter and attitude in
order to provide additional layers of data that provide better insight on the nuanced status of the flight. 3 In a
data. A global logistics company must monitor discrete data such as package temperature, location, and time to
delivery that continually describe a shipment†s ambient conditions; furthermore, these data must be available
alongside expiration data and acceptable data ranges Those aggregate data form the basis for ensuring
non-stop compliance to local and international standards for moving items that require special handling Those same data ensure that contract terms are
being respected and provide the basis for improving profitability while decreasing waste and inefficiency within a contracted service.
It is a gift that keeps on giving, as detailed historical shipment data allow better
pricing of potential new contracts, making the logistics carrier more competitive and reducing the risk of
ability to manage all relevant data, logistics companies and their customers would be unable to effectively move
the management of big data supports a brand†s ability to predict the best product offering
service execution. 4 Big data offers an enormous reward to retail because successful selling is ultimately about
patterns in data that tell us what happened under a host of variables in the past. Visual analytics tell the retailer
constantly from the website, store, and logistical systems, along with data coming from mobile devices That information is vitally important to knowing not only
how to provide information and offers to help a customer through a purchase, but also how to best serve a
The Global Information technology Report 2014 65 Chapter 1. 5: Managing the Risks and Rewards of Big data
 2014 World Economic Forum ideal way to gain that access and avoid the creepiness
untapped data sources, using automation wherever possible, and creating less fragile data systems are crucial parts of ensuring the benefits of big data while
mitigating its risks. Accomplishing these three objectives requires successfully meeting big data†s two main
and secure ever-larger amounts of data Big data has a remarkable ability to change the
world. Its benefits need to be considered as a function of how well its risks are managed.
of big data brings the reward of being able to react to world-changing events, both big and small, at an
control to humans†after all, big data should be working for the benefit of humans, not the other way around
Organizations that manage big data have an obligation to monitor security device, server, and application logs, all of which generate machine data
that provide insight into how, when, and why machines are communicating with other machines. Monitoring the
activities of machines allows organizations to watch for patterns and avoid runaway transactions or manipulation
Server logs also provide indications of who accessed data and how these data were used, affording critical
oversight into potential illegal or unethical access and use of data. Machine data are monitored by healthcare
organizations to show compliance with Health insurance Portability and Accountability Act (HIPAA) standards banks to prevent credit card fraud, and governments and
corporations to watch for and prevent data loss Today†s public, legislative, and legal sentiments
may not be tomorrow†s; these attitudes will continue to diverge by government and region. Governments and
other organizations need to balance the Facebook Effect which entails the deliberate sharing of more and more
big data moves from low impact â€oeexperiments†to driving real-time operations and decision-making. Although social acceptance of what data can
and will be shared is changing and evolving, its impact on privacy and personal security and the introduction of the creepiness
Big data is a fast-moving technology space that will affect all aspects of our lives
and why data will be used will become more important as organizations seek to provide better services and products at both
their use of big data NOTES 1 Hackathorne 2004 2 The website for the service is http://mercytelehealth. com/services
/safe-watch /3 Confidential client example 4 Confidential client example REFERENCES Hackathorne, R. 2004. â€oethe BI Watch:
/pubs/DMR200401-Real-time%20to%20real-Value. pdf Mercy Services. Telehealth Services, Safe Watch. Available at
Managing the Risks and Rewards of Big data 66 The Global Information technology Report 2014 Â 2014 World Economic Forum
CHAPTER 1. 6 Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy PETER HAYNES, Atlantic Council
M-H. CAROLYN NGUYEN, Microsoft It is more than half a century since economist Fritz Machlup, in his book The Production and Distribution of
Knowledge in the United states, 1 developed the concept of the knowledge economy, a term later popularized
rapidly the combination of personal computers, digital telecommunication devices, and the Internet impacted economic growth in the early years of that troika.
A 2004 OECD paper estimates that inflation-adjusted investment in ICTS accounted for an average of 0. 5 percentage
points of annual growth in real GDP in OECD countries between 1995 and 2001.3 This represents about 20
that corporate investment in networked computer systems is associated consistently with increased labor productivity†for example, productivity was found to be
computer networks. 4 It took about 80 years for steam engines to increase labor productivity by approximately
than 20 years for pre-Internet ICTS. 5 Yet it could be argued that what we saw in the years
Early Internet-era ICTS enabled more efficient and effective processing and use of data, resulting in
information that was used, for the most part to improve the performance of existing processes, businesses and industries. Although in some cases that information
The recent emergence of big data, along with what is being called the â€oedata-driven economy, †may finally
The Global Information technology Report 2014 67 Â 2014 World Economic Forum companies (and entire economies) to keep growing
Internet, the world is awash in data. By one estimate almost 3 zettabytes (3 billion terabytes) of information
had been created by 2012, a digital deluge that is growing at around 50 percent a year. 6 By the end of
Internet, 8 while the world population is forecast to be fewer than 8 billion people. 9 At the same time, from
2012 to 2017 machine to machine-machine data traffic is set to grow an estimated 24 times, to reach 6 Ã 1017 bytes
per month†an astonishing compound annual growth rate of 89 percent. 10 Indeed, the majority of big data will
be collected passively and automatically, via machine -to-machine transactions, and users will not be actively involved in the majority of those transactions
Big data analytics, and machine learning promise new solutions to previously intractable problems (e g in healthcare, disaster response, the environment, and
transportation); ) new businesses will be able to create innovative services by selecting, combining, and parsing data in groundbreaking ways;
and individuals will be empowered because they will be able to draw on a wide range of yet-to-be invented data-based services
Big data then, truly does promise to create new knowledge†and indeed new kinds of knowledge†on which an entirely
availability of an adequate supply of data to enable the discovery of new knowledge. This requires policy
of notice and consent to restrict the collection of data predesignated as personal may overly restrict the supply
of data available, hampering the foundation for the new economy. Furthermore, what is considered personal and acceptable use are individual decisions, subject to
In reality, it is not the collection of data that is the source of potential harm, but its unconstrained use
Moreover, in the world of big data, it would be impractical if not impossible, for individuals to give express consent
for all the data that may be generated about them Together, the above factors necessitate a change in
the use of data related to them What is increasingly clear about an economy based on the collection, use,
and analytics of big data is how little we actually know about it†its potential risks
of this chapter will focus on some core challenges that the authors believe could be particularly problematicâ€
Research sponsored by Microsoft and published last year by the International Institute of Communications found that, among other things,
users do consider fair value exchange in allowing the use of their data. 11 They have some expectation of
what they will receive in return†for example, discounts, better service, an improved product, or potential benefits to the larger
challenges of the data-driven economy. Most consumers understand that the discounts they receive via a loyalty
card are provided in exchange for data they supply to the retailer. But very few realize that the primary value
Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy 68 The Global Information technology Report 2014 Â 2014 World Economic Forum
As the global economy becomes increasingly grounded in the exchange of data, the ways in which
those data are collected and analyzed will become even more opaque to the consumer and the value
exchange even harder to discern; trust will decrease correspondingly. An individual may have only a vague
idea of what data exist about him or her and what is being done with these data.
Some will have been actively volunteered by the consumer; some will have been obtained passively, with or without his or her
information, the real values of both the data provided and the service returned (in other words, the underlying
value online data. The most comprehensive survey of valuation methodologies was presented in a recent OECD study (on which the authors of this chapter
data might be valued in the market (refer to Boxâ 1). 12 However, each of these methods has significant flaws
benefits of personal data. For example, corporate revenues per record/user are problematic because revenues contribute to economic growth only insofar
as they generate added value (or surplus. Revenue of $4 per record/user with near-zero profitability is very
different from $4 per record/user with 40 percent net profit. Similarly, the vast amount of personal data on
Facebook have a relatively low per-person value because the company, while making significant profits from the
sheer scale of its data holdings, has yet to find the Holy Grail of social media data monetization.
Amazon, by contrast, collects far less personal information from individuals, but its business model is predicated on
advanced purchase analytics. Thus, on a per-user level its inferred personal data (which are at present mostly
outside the user†s control) are more valuable than Facebook†s volunteered personal data (which the user
has assembled painstakingly, and over which she or he has at least nominal control Distinguishing personally beneficial uses of data
from socially beneficial uses is a further challenge because each creates separate and significant value
For example, the personal value of using an electronic health record is improved treatment for the patient†and
this undoubtedly has direct monetary value in the form of reduced costs, better outcomes, and so on. But socially
this benefit directly to data involves some inspired approximation. And even though one estimate puts the
the ways in which data are valued today would consider such benefits an externality to be ignored
which data might be valued are largely irrelevant today because they have given already away their digital crown
of personal and other data to large corporations with little or no thought to its potential monetary value†and
Facebook users, for example, provide it with data that have the potential to generate immense long-term value for the company;
in return they receive a â€oefree†service, but the transaction is wholly asymmetrical. As the computer scientist Jaron
Lanier has observed, â€oe T he dominant principle of the new economy, the information economy, has lately been
value of personal data The following methods for valuing personal data have been identified, but each has important drawbacks.
Possible approaches include •determining the market capitalizations of firms with business models predicated on personal data
•ascertaining the revenues or net income per data record •establishing the market prices at which personal data
are offered or sold •establishing the economic cost of a data breach •determining prices for personal data in illegal markets
•reviewing economic experiments and surveys that attempt to establish the price companies would need
to pay for individuals to give up some of their personal information; and •ascertaining how much individuals would be willing to
pay to protect their data Source: OECD 2013 The Global Information technology Report 2014 69 Chapter 1. 6:
Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy  2014 World Economic Forum In other words, under the current model, the greater
the role that data play in the global economy, the less the majority of individuals will be worth.
This could mean that a data-driven economy may become a contracting economy. Like Lanier, we believe that if a truly
sustainable data-driven economy is to be established the way in which data are traded between individuals
and corporations will require a major reset. For a data -driven economy to thrive, individuals would have to
receive fair/appropriate monetary compensation for each specific datum they provide, perhaps with additional payments whenever that datum produces incremental
profits for the entity to which it has been given (a concept popularized by Lanier. Such an arrangement
would be complex: a specific datum might gain value only when commingled with other data, for example, and
any payment/micropayment system would have to be capable of keeping track of such complexities (assuming
And a sustainable data-driven economy might also entail individuals paying fees (likely modest) for services they
concept of fair value exchange in the world of big data The importance to our economic future†to the entire
concept of a data-driven economy†of undergoing this evolution cannot be overstated. Without it, the
Without fair value exchange for data along with inherent trust in the data ecosystem, everyone will
ultimately lose†consumers, corporations, and countries alike. Establishing a system of fair value exchange will
ECONOMICALLY VIABLE€ DATA ECOSYSTEM We believe that an essential element of the foundation that can enable user trust and fair value exchange
is an interoperable metadata-based architecture. In such an architecture, data are accompanied logically by a â€oemetadata tag†that contains references to the
permissions and policies associated with the data along with related provenance information, specified in an extensible and interoperable markup language
The metadata is logically bound to the data and cannot legally be modified unbound or for the entire
data lifecycle by any parties other than the user or as specified by, for example, a related policy or rules of a
â€oetrust framework. †More comprehensive consideration of these issues can be found in Realizing the Full Potential
of Health Information technology to Improve Healthcare for Americans: The Path Forward and the Digital Enlightenment Yearbook 2013.15
But the use of metadata does not stop at enabling the enforcement of user permissions and related
policies. It can also be utilized to track and capture the monetary value produced by personal data, over time
in a decentralized data ecosystem†and consequently provides a foundation for both trustworthy data and
fair value exchange. Consider: metadata enables individuals to change their personal data preferences and permissions over time, prevent undesirable use of
previously collected data, address unanticipated uses and adjust to changing norms. Thus, if we consider
personal data to be the product of an individual†s online â€oelabors, †and if we further consider that, in order
to introduce the concept of fair value exchange (and sustainability) into a data-driven economy, those data
must be assigned monetary value, then metadata is the mechanism that will enable individuals to â€oedirect†their
labors and reap the related benefits for the duration of its existence in the data ecosystem†enabling a more
enlightened society in the digital space. How such an approach would incorporate machine to machine-machine generation and use of data remains unanswered
however, and requires considerably more research Such an approach is technologically non-trivial. A primary challenge is security:
although metadata can be logically bound to data, it can also be unbound by bad
actors (a situation similar to the vulnerability of today†s financial systems to hackers. Thus a strong legal and
challenge lies in specifying the user permissions and policies that would govern how data can be used
within†and shared across†trust boundaries, and how those permissions and policies would be negotiated among the multiple parties with claims on the data
or claims to its monetary value. 16 Yet another, highly significant challenge is developing the appropriate
as recommender systems or data intermediaries Achieving all this will require the specification of an interoperable metadata-based architecture that can
function at Internet scale. The development of such an architecture needs to be a collaboration between
multiple data stakeholders to ensure its feasibility and inherent security, as well as its ability to enable
stakeholders in the data ecosystem, not only users. Data controllers and processors can more easily understand
and comply with permissions and policies defined for specific data. They can also establish a dynamic
economically viable and sustainable â€oemarketplace†in data that would ideally mirror the way in which fair value
exchange is established in the physical world. Solution providers can create applications and services that Chapter 1. 6:
Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy 70 The Global Information technology Report 2014 Â 2014 World Economic Forum
produce new business value and track the associated value chain, yet still use data in privacy-preserving
ways. Companies can develop metadata schemas that fully describe data use, codes of conduct, and relevant
policies to meet industry and regulatory requirements And regulators can take advantage of greatly improved auditability of data,
along with a stronger and better -defined connection between the data and those policies that govern its use
Although metadata can help facilitate a data-driven economy, it cannot guarantee that entities handling the
data will honor the permissions and policies associated with them. However, when implemented as part of
a principles-based policy framework that provides guidance on trustworthy data practices†supplemented by voluntary but enforceable codes of conduct and
underpinned by legal redress†this is a flexible approach that holds the promise of satisfying the interests of
regulators, individuals, and industry. In addition, as noted above, the authors believe that metadata could also be a key to establishing a viable and sustainable
economic ecosystem in a data-driven economy, enabling the monetary value generated by data to be tracked
captured, and realized as payments to and from the ecosystem†s participants CONCLUSION AND WAYS FORWARD
in order to create a sustainable data-driven ecosystem technology and policy must work symbiotically. For that to happen, governments and their regulatory
coalition that will be required if the promise of a data -driven knowledge economy is to be realized fully.
Data are for value-added labor productivity 5 Bughin and Manyika 2013 6 Gens 2011 7 Cisco 2013
telecommunications carriers†the scale and scope are different the principles similar REFERENCES Ahmad, N.,P. Schreyer,
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OECD . pdf Bughin, J. and J. Manyika. 2013. â€oemeasuring the Full Impact of Digital Capital. †Mckinsey Quarterly, July.
Global Mobile Data Traffic Forecast Update, 2012†2017, February 6. Cisco. Available at http://www. cisco. com/en/US/solutions/collateral/ns341/ns525
/ns537/ns705/ns827/white paper c11-520862. pdf Drucker, P. F. 1969. The Age of Discontinuity: Guidelines to Our
ericsson. com/res/docs/whitepapers/wp-50-billions. pdf Gens, F. 2011. IDC Predictions 2012:
http://cdn. idc. com/research/Predictions12/Main/downloads /IDCTOP10PREDICTIONS2012. pdf International Institute of Communications. 2012.
Personal data Management: The User†s Perspective. International Institute of Communications. Available at http://www. iicom. org/open-access
-resources/doc details/226-personal data-management-the-users -perspective Lanier, J. 2013. Who Owns the Future?
New york: Simon & Schuster Machlup, F. 1962. The Production and Distribution of Knowledge in the
Big data: The next Frontier for Innovation Competition and Productivity. Mckinsey Global Institute Report May. Available at http://www. mckinsey. com/insights/business
â€oea User-Centred Approach to the Data Dilemma: Context Architecture, and Policy. †In Digital Enlightenment Yearbook 2013
IOS Press Ebooks. 227†42. Available at http://ebooks. iospress. nl /publication/35146 OECD (Organisation for Economic Co-operation and Development
2013. â€oeexploring the Economics of Personal data: A Survey of Methodologies for Measuring Monetary value. †OECD Digital
The Global Information technology Report 2014 71 Chapter 1. 6: Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy
 2014 World Economic Forum PCAST (President†s Council of Advisors on Science and Technology
Realizing the Full Potential of Health Information technology to Improve Healthcare for Americans: The Path Forward
Available at http://www. whitehouse. gov/sites/default /files/microsites/ostp/pcast-health-it-report. pdf
United nations, Department of Economic and Social affairs. 2013 World Population Prospects: The 2012 Revision. Available at http
Rebalancing Socioeconomic Asymmetry in a Data-Driven Economy 72 The Global Information technology Report 2014 Â 2014 World Economic Forum
The Global Information technology Report 2014 73 CHAPTER 1. 7 Building Trust: The Role of Regulation in Unlocking the
Value of Big data SCOTT BEARDSLEY LUIS ENRIQUEZ FERRY GRIJPINK SERGIO SANDOVAL STEVEN SPITTAELS MALIN STRANDELL-JANSSON
Mckinsey & Company â€oedata is a precious thing...†and â€oe†that†s why I†ve
called data the new oil. Because it†s a fuel for innovation powering and energizing our economy. †1 These were the
speaking about the value of big data earlier in 2013. As Kroes noted, data comprise a fuel we have only just
begun to tap This â€oenew oil†is certainly plentiful. Trillions of bytes of data are generated by companies that capture
information about their customers, suppliers, and operations. Networked sensors and software embedded in devices and appliances are further energy generators
as are the growing volumes of media content. These sources of data do not even include the billions of
individuals around the world generating the same fuel on their smartphones, personal computers, and laptops And the volumes of data are exploding.
Mckinsey recently estimated that the data collected globally will grow from some 2, 700 exabytes in 2012 to 40,000
exabytes by 2020.2 To put this into context, a single exabyte of data equals a hundred thousand times all the
printed material of the Library of Congress Definitions of big data vary greatly. Rather than put
a number on what qualifies as â€oebig, †Mckinsey defines it as datasets so large that typical database software
tools are unable to capture, store, manage, and analyze them. Such a definition allows for the fact that the size
of datasets regarded as â€oebig†will also grow with the advance of technology. 3 Whatever the precise definition, big data is widely
acknowledged to create value in four ways. It creates greater transparency by making more and better
information available more quickly. It helps organizations create highly specific segmentations, enabling them to tailor products and services more precisely.
Big data can create significant value for the whole economy. Mckinsey research shows that companies that use big data can deliver productivity and profit gains
that are 5 to 6 percent higher than those of competitors The private sector is not the only beneficiary
Big data can also enhance productivity and effectiveness of the public sector and create economic surplus for consumers.
could be reduced by 8 percent by using big data to drive efficiency and quality No wonder, then, that governments and political
institutions are promoting big data on their agendas and adopting initiatives such as the European Union†s
open data directive, which aims to give both citizens and member governments access to a raft of government
The Role of Regulation in Unlocking the Value of Big data 74 The Global Information technology Report 2014
data. Governments understand that big data†s economic and social potential can grow only alongside continued
innovation in the underlying technologies, platforms, and analytic capabilities for handling data, as well as the evolution of behavior among its users.
Recent Mckinsey research shows that enabling â€oeopen data†or â€oeliquid data†across seven domains†education, transportation
consumer products, electricity, oil and gas, healthcare and consumer finance†can generate more than US$3 trillion in additional value a year. 4
uptake of big data will depend on the adoption of next -generation telecommunications infrastructure, which is still in its early development in many parts of the world
Another prerequisite is a large enough pool of talent with the advanced analytical skills needed to put the data to
good use. This workforce will need to be trained. Equally big data uptake will hinge on whether ways can be
found to protect information technology infrastructures and the data they carry from cyberattacks. A further imperative is to build the trust of citizens,
who are growing increasingly suspicious about how information about them is being used Regulation plays a role in tackling all these
obstacles. This chapter focuses only on the need to build trust. It examines the various broad types of
potential of big data, and it outlines some actions companies can take themselves to promote consumer
CONSUMER TRUST AS AN ENABLER OF BIG DATA Research reveals that consumers are increasingly concerned about how their personal data are used
Figureâ 1), although the level of concern varies according to the type of data being considered.
Consumers care more about their financial transactions and health -related information than about their online habits, for
disclosing US government data collection practices and the extraction of data from a number of large Internet
companies have raised further public awareness about privacy issues and data protection in the online world If big data is to deliver on its promise, companies
will need both to create customer trust in big data applications and their use and to help customers feel
safe about the protection of their personal data and privacy. Governments and regulators will need to frame
data protection policies that safeguard the privacy of both customers and citizens. At the same time, these policies must not stifle the innovation that big data can
deliver, or its attendant economic and social benefits DATA PROTECTION ARCHETYPES ACROSS THE WORLD The protection of personal data has long been viewed
as a fundamental right, enabling individuals to be in control of data about their own person and preventing
unnecessary listings and discriminatory behavior Individuals can exercise this control by explicitly giving or withholding consent before their personal data are
Figure 1: Consumers†privacy protection concerns Sources: USC Dornslife/Los angeles times 2012; European commission 2011 *These data are taken from the Special Eurobarometer poll published in 2011.
Respondents were asked to select 4 out of 12 possible responses to the question of what should happen to
companies that breach protection rules. We present the top 3 responses here 74%of Europeans think that disclosing personal data is increasingly part of modern life
78%of US citizens think that companies collecting personal information online are invading consumers†privacy
72%of Internet users are worried about giving away too much personal data 88%of Europeans believe that their data would be protected better in large companies that are obliged to name
a data protection officer Companies that breach protection rules should be *51%fined 40%banned from using such data in the future
39%compelled to compensate the victims  2014 World Economic Forum The Global Information technology Report 2014 75
1. 7: Building Trust: The Role of Regulation in Unlocking the Value of Big data used.
They have a right to be informed if those data are to be used, and for what purpose.
Companies and organizations using their data are required also to protect it from unauthorized use. There are strict
measures in place to protect medical data and credit information But the issue has become more complicated in
the Internet era. Some argue that this right should be safeguarded more strongly than ever when so many
companies and organizations are seeking access to personal data and can gain that access more easily.
On the other hand, as we have seen, economic, social, and personal benefits can arise from sharing data, and many
consumers are perfectly happy to give up some of their privacy in return for certain goods or services
Data protection laws are evolving not only in an attempt to keep pace with technological developments and new ways of using,
collecting, and sharing personal data, but also to keep pace with attitudes toward privacy. To better understand the state of play
Mckinsey has conducted extensive research into the data protection regulatory frameworks of more than 20 countries worldwide, identifying the key principles and
requirements (Figureâ 2 From our research we have identified three main archetypes of the level of regulation imposed around
the world: from the least to the most extensive, these are regulations with a light touch, those with a minimum
standard, and those with strict ex-ante requirements •Light touch/self-regulation. This is the approach
federal data protection law. Instead, different sectors†such as healthcare, telecommunications and finance†are regulated by specific laws applying
only to these sectors. These laws are enforced by sector-specific authorities. Separate states can also
Facebook and Google are two recent cases in point. 5 •Minimum standard setting. In Asia, the Asia
follow to ensure a common, minimum level of data protection across member economies. The aim is to
enable the easier transfer of data among economies where the level of data protection regulation varies
greatly. Although some Asian economies (such as Pakistan) still lack data protection laws entirely or have introduced recently them (e g.,
, China and India), others†such as Japan†have developed well laws. Examples of minimum-level principles are the
or disclosure of their data, and that the data collected should be accurate, complete and up to date. 6
•Strict ex-ante requirements. Ex-ante requirements apply in Europe, where both the Council of europe
frameworks to protect data and privacy in their respective member countries. 7 These frameworks not only define what is regarded as personal data
and how such data can and cannot be used, but they also set organizational and technological
requirements. Companies should, for example implement technological and organizational measures to protect the data gathered. Furthermore
strict liabilities are in place relating to both companies and cooperation frameworks for regulators. The frameworks stipulate that data
from the European union may be transferred only to countries that have an appropriate level of protection. 8
data protection directive from 1995 to better meet the requirements of today†s data-intensive world. 9 In the
United states, the Federal trade commission (FTC) has increased its focus on data protection issues and has published several reports and recommendations on the
topic in the past few years. It has taken also on a stricter role regarding the enforcement of companies†own
Opinions on the best approach to data protection and privacy regulation differ. Some experts argue that it is better to adopt a light-touch approach in a
Whatever approach is taken, we believe data protection and privacy regulation is becoming more and more important across the world, and countries and
KEY REGULATORY AREAS FOR BIG DATA UPTAKE Whatever approach any single government or regulator chooses to adopt, all will need to pay particular
The Role of Regulation in Unlocking the Value of Big data 76 The Global Information technology Report 2014
Figure 2: Variation in data protection regulation across markets Sources: Council of europe 2013a, b; European commission 1995,2002, 2012;
IAPP 2013a, b *The convention was initiated and signed by Member States of the Council of europe in 1981.
Processing of Personal data (ETS No. 108), available at http://conventions. coe. int/Treaty/en/Treaties/Html/108. htm
find out if personal data is processed and the right to file a complaint if it is misused After amendments, regulation in Argentina
No specific data protection law exists in Brazil, but the country has constitutional protection and sector-specific data
protection legal provisions Existing regulation is already the strictest globally Regulations cover all industry sectors
States enables free data transfer between compliant companies in the two regions RUSSIA AND CENTRAL ASIA MIDDLE EAST AND AFRICA ASIA PACIFIC
Data protection Acts exist in some countries Azerbaijan, Georgia, Russia, Ukraine Enforcement is low (relevant mechanisms
United arab emirates) already have data protection laws Morocco signed the Council of europe data protection convention in 2013 *establishing a general data protection
regime Most countries are unregulated or have single points in sector laws (e g.,, Algeria Egypt
The level of protection ranges from strong protection in Japan and the Republic of Korea to weaker protection in Bangladesh
Recent awareness of data protection issues has resulted in several new laws in economies such as India, Hong kong SAR
The Global Information technology Report 2014 77 1. 7: Building Trust: The Role of Regulation in Unlocking the Value of Big data
data can drive, while maintaining customer trust and data protection. These areas include: consent before collection, a definition of personal data, anonymization
the right to be forgotten, relevant jurisdiction, and liability issues. Each of these key areas is discussed below
Consent before data collection. A key principle in the European regulatory framework is need the to
obtain personal consent before data are gathered Anyone wanting to use an individual†s data must
first seek his or her permission. But with so much information now available and being gathered, seeking
that approval can be a slow, tedious process for companies and consumers alike and can hinder big
data development. Cookies on the Internet are a simple example. Surfing the web would be more convenient
without cookie notifications and approvals. The APEC framework recognizes this, and the framework states that â€oewhere appropriate, individuals should be provided
with...mechanisms to exercise choice in relation to the collection, use and disclosure of their personal
information. †11 However, determining where such choice is appropriate is open to interpretation The definition of personal data.
The suggested EU framework defines personal data as â€oeany data that can be attributed to an identifiable person either directly
or indirectly. †The APEC framework describes personal data as â€oeinformation about an identified or identifiable
individual. †Both these definitions mean that not only data clearly identifying a person with information such
as a name or address is considered to be personal data, but also data that can be attributed to a person
indirectly through some other measure, such as via a mobile phone number or an identity code. In a big
data world where a lot of data are interlinked, it can be difficult to know exactly when data become â€oepersonal. â€
Is it only data that identify a person with certainty, or does it also include data that identify someone with
high probability? How about a person†s actions Performance? Or buying behavior? To give a concrete
example, a US retail chain identified new parents as a very lucrative market segment. The chain analyzed their
customers via characteristics such as their shopping habits, age, or marital status to spot customers who were pregnant.
of how to define which data are personal is the issue of data anonymization or sanitization.
Traditionally anonymous data have not been subject to data protection laws. However, in a big data world where
anonymized data can easily be linked up, it is not very hard to build a profile of a person without traditional
means of identification such as a name or address For example, a team at Harvard was able to identify
individuals from anonymized data in a genetics database by cross-referencing it with other public databases
The accuracy rate was 42 percent based on the use of only three types of information†zip code, date of
birth, and gender†and rose to 97 percent when the first name or nickname was added. 13 Another example
from Texas University on 500,000 Netflix users who had voted anonymously for their preferred movies back
identify users by linking the anonymized ratings with another public database with movie ratings. 14 It can
therefore be argued that the use of anonymous data can potentially constitute an intrusion of privacy
Another question related to data anonymization is the right of companies to use the personal data already
in their possession and turn them into anonymized data that they sell to others. Some companies are selling their
customer data†such as location and application data of telecommunications companies†to other companies in anonymized and aggregated form for marketing
purposes. Companies can target their marketing more effectively by using these data to learn about their
customers. Internet companies are also matching their customer data and online habits with data from other
companies to better target their online advertising. 15 Several questions arise from a privacy perspective
When can data be considered anonymized? Does using a pseudonym make data anonymous? Are companies allowed to use anonymized data without the customer†s
consent, or must customers give their prior approval Should that consent be granted before use, or is it
enough to allow customers to opt out The right to be forgotten. The new EU data protection framework proposes introducing a right
for users to request that data controllers remove their personal data from their files. Although on paper it
sounds easy to remove personal data relating to an individual upon request, this may not be so easy
in the real world. The European union Agency for Network and Information security (ENISA) states that a great deal of data are stored in different places in
the cloud for security reasons, and these data may have been aggregated or amended into new forms
such as statistical data. Thus removing some specific data from all systems upon request may be entwined with the aggregated data.
Clearly this is not such a straightforward task in a virtual environment, and there is no single technical method to enable this easily. 16
Relevant jurisdiction. Data are used increasingly and stored across borders, but regulation is still largely national in its scope and regulators lack jurisdiction
in markets outside their own. The uncertainty about jurisdictions creates problems for companies and  2014 World Economic Forum
1. 7: Building Trust: The Role of Regulation in Unlocking the Value of Big data 78 The Global Information technology Report 2014
consumers alike. Which regulations apply to companies from another country? Which judicial authority has the
right to intervene in disputes? What happens in cases where a company breaches laws across many markets
In its recent proposal on the new EU data protection regulation, the European union extends the applicability
of its regulation to companies outside the European Union that are handling data relating to European Unionâ€
based individuals Liability issues. In today†s world, companies often cooperate to produce big data applications and
solutions. One company orders software from another which in turn uses a third company as a contractor
which stores its data within a cloud service operated by yet another. If data are leaked,
it can be very difficult to decide which company is liable The above remaining gray areas must be considered
and clarified so that both consumers and companies using big data clearly know what the rules are in order
to ensure a certain environment that is conducive to investment and market growth. In the next sections we
propose several options for regulators and companies to make the big data environment more certain IMPLICATIONS FOR REGULATORS AND
POLICYMAKERS Regulators will need to address all the above issues when shaping their personal data protection policies Although not prescribing any single solution, certain
principles will help guide regulators in their deliberations and ensure the necessary regulatory balance. These
principles include the need to establish regulatory stability, cooperation with members of industries and different countries,
and promoting industry self -regulation. Each of these principles is discussed below Regulation in any field always works best if it
When it comes to data protection, companies and other organizations will need regulatory certainty if innovation is to be encouraged
companies to transfer data between the two regions without further approval from EU-based regulators
An even a wider take on data protection issues in the big data environment would be beneficial for all parties
Whatever their approach to regulation, governments should promote industry self-regulation. Self-regulation is the best way to achieve a commonly accepted code
personal data in mobile marketing†but so far efforts have occurred mainly at the country level, in markets
the use of personal data protection in big data would certainly be beneficial to establish a higher level of trust
among consumers and create a clear data protection standard for companies. The weakness of industry self-regulation is obviously enforcement, because self
If they develop an efficient data protection strategy, companies may also gain competitive advantage in the form of cost savings, organizational
maximize the benefits of big data and to build trust, a number of actions could be considered
to leverage those strengths to develop their big data strategy. For example, a company may wish to build
customers†personal data or position itself as an innovative company with cool services based on its users†behavior and habits or preferences
The Global Information technology Report 2014 79 1. 7: Building Trust: The Role of Regulation in Unlocking the Value of Big data
Companies should strive to make data protection part of the company culture. They can avoid costs occurring at
a later stage (when compliance measures are needed by implementing data protection in their processes from the start
Companies must also cooperate with regulatory authorities. Privacy and data protection regulation is constantly evolving. This means that companies will
need to establish a close relationship with national regulators to ensure compliance and to make certain
business issues at hand and the benefits of big data for society Furthermore, companies need to cooperate with
decisions about what data they do or do not share Providing transparent privacy policies or simply informing
the customer of the scope of data handling as well as requesting clear consent declarations from customers
data business opportunities. Technological tools help, as they can allow customers to adjust their privacy settings
are usually willing to share personal data if the value of the service is attractive enough and the customers feel
Big data offers a wide range of opportunities†not just for individual companies, but also for nations and society
to regulatory and policy concerns regarding big data development. They must enable fast network build-out
qualified workforce and safeguard Internet safety. And they must address consumer disquiet about privacy and
different levels within the industry that the big data industry can eventually evolve to its full potential
Investment in Telecommunications. †In The Global Information Technology Report: Growth and Jobs in a Hyperconnected World
The Role of Regulation in Unlocking the Value of Big data 80 The Global Information technology Report 2014
Council of europe. 1981. Convention for the Protection of Individuals With regard to Automatic Processing of Personal data. Available at http://conventions. coe. int/Treaty/en/Treaties/Html/108. htm
††â€. 2013a. Human rights and Rule of law: Data protection. Available at http://www. coe. int/t/dghl/standardsetting/Dataprotection
/default en. asp ††â€. 2013b. Human rights and Rule of law: Data protection: National Laws. Available at http://www. coe. int/t/dghl/standardsetting
/dataprotection/National%20laws/National laws en. asp Duhigg, C. 2012. â€oehow Companies Learn Your Secrets. †The
New york times, February 16. Available at http://www nytimes. com/2012/02/19/magazine/shopping-habits html? pagewanted=all& r=1&
ENISA (European union Agency for Network and Information Society 2011. The Right To Be forgotten: Between Expectations and
Individuals With regard to the Processing of Personal data and on the Free Movement of such Data. Available at http://eur-lex. europa
eu/Lexuriserv/Lexuriserv. do? uri=CELEX: 31995l0046: en: HTML ††â€. 2002. Directive 2002/58 on Privacy and Electronic
Communications. Available at http://eur-lex. europa. eu/Lexuriserv /Lexuriserv. do? uri=OJ: L: 2002: 201: 0037: 0037:
PDF ††â€. 2011. Special Eurobarometer 359: Attitudes on Data protection and Electronic Identity in the European union.
Brussels Directorate-General Communication. Available at http://ec. europa eu/public opinion/archives/ebs/ebs 359 en. pdf
††â€. 2012. Proposal for a Regulation of the European parliament and of the Council on the Protection of Individuals With regard to the
Processing of Personal data and on the Free Movement of such Data general Data protection Regulation), COM (2012) 11 final
Available at http://ec. europa. eu/justice/data protection/document /review2012/com 2012 11 en. pdf FTC (Federal trade commission. 2010†14.
Protecting Consumer Privacy: Making Sure Companies Keep Their Privacy Promises to Consumers. Available at www. ftc. gov/opa/reporter/privacy
/privacypromises. shtml IAPP (International Association of Privacy Professionals. 2013a. IAPP Home page. Available at https://www. privacyassociation. org
Data protection Authorities. Available at https //www. privacyassociation. org/resource center/data protection authorities Kroes, N. 2013a. â€oethe Big data Revolution. †Speech given by Neelie
Kroes, Vice president of the European commission responsible for the Digital Agenda, March 26. Available at http://europa. eu
††â€. 2013b. â€oethe Economic and Social Benefits of Big data. †Speech given by Neelie Kroes, Vice president of the European
and A. Hung Byers. 2011. â€oebig Data: The next Frontier for Innovation, Competition and Productivity. †Mckinsey Global
Doshi. 2013. â€oeopen Data: Unlocking Innovation and Performance with Liquid Information. †Mckinsey Global Institute, Mckinsey
Available at http://arxiv. org/PS CACHE/cs/pdf/0610/0610105v2. pdf Steel, E. 2012. â€oedatalogix Leads Path in Online Tracking. †The
html#axzz2idgomkit Sweeney, L a. Abu, and J. Winn. 2013. Identifying Participants in the Personal Genome Project by Name.
Data Privacy Lab. White paper 1021-1 april 24. Available at http //dataprivacylab. org/projects/pgp /USC Dornsife/Los angeles times. 2012. â€oevoters Across the Political
From Big data to Big Social and Economic Opportunities: Which Policies Will Lead to Leveraging Data-Driven
Innovation†s Potential PEDRO LESS ANDRADE JESS HEMERLY GABRIEL RECALDE PATRICK RYAN Public Policy Division, Google, Inc
Over the last few years, myriad examples of innovation in data analysis have emerged, creating new business
models for data-driven innovation. For example businesses are developing ways for real-time weather information to be communicated to devices in the field
that can advise farmers on pest activity, water supply and inclement weather. 1 The Royal Netherlands
more than existing data from cell-tower installations. 2 The next phase of the Internet†s evolution has us on a
clear path toward a â€oerevolution of data. †3 Every year the costs associated with the production, collection
storage, and dissemination of data come down making those data more readily available. This process is fomented by the increasing migration of many social
and economic activities to the web. 4 More data are generated today than ever before; this is a positive
trend that will inevitably continue: 90 percent of the world†s information generated through the history of
while data generated per year is growing at a rate of 40 percent. 6 In this chapter we will focus on the social and
economic value of data, but from the point of view of use and purpose rather than volume. We will therefore
talk about data driven-innovation instead of â€oebig data, †and will provide case studies from different areas, with
a special consideration of how data-driven innovation in the public sector could improve policymaking. We
leverage the potential of data-driven innovation in their communities through forward looking policies WHY SPEAK OF DATA-DRIVEN INNOVATION
INSTEAD OF BIG DATA It has become axiomatic that more data are produced every year, and somehow this phenomenon has
driven commentators to call this revolution â€oethe age of big data. †However, what is commonly known as
big data is not a new concept, as the use of data to build successful products and services, optimize
business processes, or make more efficient data-based decisions already has established an history. Innovative uses of data have been key to developing new products
and making more efficient decisions for quite a long time, and these activities have become more common
and more efficient with the availability of modern computing. Crunching data, statistics, and trends in new
ways has helped always change the way that entire sectors operate. Agriculture is one of the first major
sectors to have benefitted from the aggregation and analysis of data: in 1793, the Farmer†s Almanac found a
The opinions here are the views of the authors and do not represent the views and positions of their employer
The Global Information technology Report 2014 81 Â 2014 World Economic Forum niche when it published its first report more to provide
Integrator and Computer (ENIAC) computer to make the first successful numerical weather prediction. 8 Moreover, the term big data is ambiguous, and it
sets up data as a negative because of the implication that â€oebig†is â€oebad. †Indeed, many common definitions of
big data usually focus not on size but instead on various characteristics, including the frequency of production
speed, volume, variety, and capacities needed to manage and process information. 9 Mckinsey, for example, describes big data as â€oedatasets whose size is
beyond the ability of typical database tools to capture store, manage and analyze. †10 The implications of this
definition are that the main features of big data (quantity speed, variety) are technical properties that depend
not on the data itself, but instead on the evolution of computing, storage, and processing technologies. 11
What may look like big data today will not likely be as â€oebig†in the near future Thus, what is important about data is not their
volume, but how they may contribute to innovation and therefore be used to create value. Data alone do
not possess inherent value; instead it is the processing of data in innovative ways that brings new economic
and social benefits, and this value creates a virtuous circle to feed into more use of data-based decision
-making and analysis. 12 In other words, it is the use of data that really matters. 13 One way to measure this
value is to measure the socioeconomic metrics (or to estimate the future potential) obtained from the
use of data. The excitement that we are seeing with new deployments of data to fuel innovation is not just
because of the volume of data, nor is it about the data themselves. As pointed out by the Software and
Information Industry Association, â€oetransformative data can be big or small or even the †needle†of data found
in a giant haystack. †14 The truth is that data are data, and that has not
changed for centuries. When â€oebig data†is no longer a trendy concept, data will continue to drive innovation
and solutions for new problems will come from new ways of analyzing and interpreting data, regardless of
volume or our technological capacities to manage it In the next section, we will address what we see in the
future for data-driven innovation THE BENEFITS OF DATA-DRIVEN INNOVATION Many sectors benefit from data-driven innovation
healthcare (e g.,, diagnosis and treatment), financial services (e g.,, analyzing market trends and economic conditions), and transportation and public administration
e g.,, metrics on what citizens want and where economic development is headed), to name a few. In
one example, a philanthropic research center stores and analyzes the cancer genome and the sequences and mutations of more than 10,000 cancer cases to
understand the complexity of the disease. 15 In another recent project, a university-based group of academics
mined data from 60 years of historical weather records to identify the factors that are most predictive
of hurricane activity. 16 In the private sector, Paypal has developed a system that screens payments and
combines them with IP ADDRESSES, browser information and other technical data to identify and prevent fraudulent activity in online payments, bolstering trust
for commercial exchanges on the Internet. 17 A startup firm has developed a no-cost platform for users that
helps travelers predict flight delays using an algorithm that scours data on every domestic flight for the past 10
years and matches it to real-time conditions. 18 Finally the United nations is working with governments around
the world to understand global trends related to hunger poverty, disease, and job loss. 19 However, because data-driven innovation takes
place across various sectors of the economy and society, it is sometimes difficult to quantify its full
economic impact. For example, using any traditional measure of Gross domestic product (GDP), Wikipedia does not contribute any economic value. 20 This makes
no sense in today†s world, as economists are now demonstrating that a fundamental problem exists in
our ability to quantify the value of data, and this gap misleads policymakers in their drive to maximize
†goods†and †services. ††22 Data are neither a good nor a service and so they escape traditional economic
data: although the value often creates an economic reward, such measurements are not easy to make
The Internet itself has been a strong contributor to economic growth for more than two decades, but only in the past couple of years have economists
One example of innovative data use that has a difficult-to-quantify economic value proposition is
have been compared with official historic influenza data from relevant countries with surprisingly high levels of accuracy,
data from Flu Trends are open, available for everybody 1. 8: From Big data to Big Social and Economic Opportunities
82 The Global Information technology Report 2014 Â 2014 World Economic Forum to download and use.
A group of researchers from the Johns hopkins university, for example, used these data to develop a practical influenza forecast model designed
to provide medical centers with advance warning of the expected number of flu cases, thus allowing sufficient
time to implement interventions before outbreaks. 26 This example illustrates how the openness and accessibility of
data are crucial to keeping the wheel of innovation rolling by allowing others to access
and manipulate the data in transformative ways Similarly, the rapid collection and processing of information has helped in recent natural disasters.
University analyzed calling data of over 2 million mobile phones to detect the pattern of population movements
across the country. This information was handed then to humanitarian agencies to allocate relief resources in a more efficient way. 27 The findings of the project, called
and responsible ways of analyzing big sets of data and equally ethical and responsible ways of using
data-driven innovation. Studies suggest that there is a direct connection between data-driven decision-making in business and improved firm performance.
Firms that adopt data-driven decision-making have an output and productivity that is 5 percent to 6 percent higher than
would be expected, given their other investments and their information technology (IT) usage. 29 Another study has shown that the use of Internet computing tools can
also help firms reach decisions more efficiently, across a broad range of industries, as they allow firms of all sizes
to leverage data-driven analysis without needing to make huge investments in their IT infrastructure. 30
As is the case for businesses, policymakers are entrusted to make decisions for the citizenry with very
In fact, the public sector is one the most data -intensive sectors of all. According to Mckinsey, the US
government had over 848 petabytes of data stored in 2009†second only to the manufacturing sector. 31
been established to maintain data about the nation Thus data-driven policymaking is not new, but the
opportunities brought by the advances on information and communication technologies make data-driven policymaking increasingly accessible to government
officials. Further, open government initiatives put these data into the hands of the public, facilitating a
new kind of transparency and civic engagement for curious and interested citizens. Data can benefit society
when they are open. 33 By providing a way to check assumptions, detect problems, clarify choices,
data-driven policymaking injects data -based rationality into the policymaking process, all of which could also create economic benefits. 34 According
Development (OECD), by fully exploiting public data governments in the European union could reduce administrative costs by 15 percent to 20 percent
In other words, data-driven policymaking moves policymaking out of the realm of intuition and dogma by
still does not fully exploit the potential of the data it generates and collects, nor does it exploit the potential
of data generated elsewhere. The â€oerevolution of data†still needs to make its way within government agencies
greatest potential to capture value from data-driven innovation, it also has one of the lowest productivity
industry in fully embracing data Box 1: Hong kong Efficiency Unit The Hong kong Efficiency Unit acts as a single point
data, which in fact provided important feedback on public service. Using a platform called the â€oecomplaints Intelligence System, †they now use the complaints
The Global Information technology Report 2014 83 1. 8: From Big data to Big Social and Economic Opportunities
 2014 World Economic Forum SETTING THE STAGE FOR A DATA-DRIVEN ECONOMY Apart from producing
and using data for better policymaking processes, the public sector can also play its part by promoting
and fostering data-driven innovation and growth throughout economies. To realize the potential of data-driven innovation, policymakers
need to develop coherent policies for the use of data This could be achieved by:(1) making public data
accessible through open data formats,(2) promoting balanced legislation, and (3) supporting education that focuses on data science skills
Open data initiatives The use of data across sectors can drive innovation and economic growth. However, many generators of dataâ€
including governments†do not share their data. As we have seen, the public sector is one of the main producers
and collectors of data. Open data initiatives that make data in the public sector accessible to everyone
contribute to data-driven innovation and create value for governments. For example, aggregate public transport data may be used by developers to create useful
applications for passengers (see Boxâ 2). This access to real-time information could result in a greater number
of passengers and, subsequently, to more income for the transport authorities. In addition, accessible public data usually lead to better data because data users
can test structure and help to fix mistakes (see Boxâ 3 Improvements in the quality of data mean better data
-based solutions and, ultimately, better policy It is important to note that opening up public data
does not necessarily lead to the disclosure of personal data. Public data that may contain personal information
of citizens should be shared in an aggregate or fully de-identified way to protect citizens†privacy.
We will go into more detail around the discussions on privacy and personal data in the following section
How to get the best of data-driven innovation The increasing ease of linking and analyzing information
usually raises concerns about individual privacy protection. Personal data are the type that has drawn the most attention, from a regulatory point of view, in relation
to data-driven innovation. The challenge is to achieve a reasonable balance between individuals†right to privacy
and the emerging opportunities in data-driven innovation For this reason, in order to capitalize on opportunities for economic growth via innovation, flexible
and adaptable policies are needed. We need to focus on using datasets responsibly and ensuring that personally
identifiable information is accessible only by those who are authorized to do so, without limiting innovation In other words, privacy protection frameworks should
support secure and reliable data flows while enhancing responsible, risk-reducing behavior regarding the use of
personal data Legislation should take into account the tension between data-driven innovation and the principle of data minimization.
This principle essentially states that the collection of personal data should be limited to what is relevant and necessary to accomplish a specific
purpose, and for only as long as necessary. This tension usually materializes in two regulatory discussions: first
the definition of personal data; and second, the model of consent by users. These considerations are both critical
but framing things in this way leads to the inevitable conclusion that fewer data are better
A key dividend of data-driven innovation is the possibility of finding new insights by analyzing existing
data and combining them with other data. This can sometimes blur the lines between personal and non
-personal data, as well as the uses for which consent may have been given. 36 A practical definition of personal
data should be based on the real possibility of identifying an individual during the treatment of data. 37 This is why
applying existing approaches to personal data may result in overly broad definitions that can have unintended negative consequences for data-driven innovation
For the same reason that combining and correlating datasets is a key feature of data-driven innovation, the full
potential of data collected may not be clear at the time of collection. A consent model that is appropriate to the
data-driven economy should provide a path for individuals to participate in research through informed consent.
In this model, they would become aware of the benefits of their participation as well as potential privacy risks.
For this reason, the legislative considerations for data collection should not assume that less is always more and should
take into consideration the data-intensive direction of some of the economy†s growing sectors
Building skills for the future An economy where both the public and private actors who base their decisions on data analysis will
demand highly skilled workers with backgrounds in Box 2: Harvard Transparency Project The Transparency Policy Project at Harvard†s Kennedy
School studied the relationship between transit data format and accessibility and the number of applications
for that system. Of the five transit agencies they studied the Trimet in Portland, Oregon, and the Massachusetts
Bay Transit Authority (MBTA) in Boston have generated the highest ratio of applications per transit rider (1 to 7, 000
and 1 to 27,000, respectively. Meanwhile, the most reluctant agency to adopt open data, Washington DC€ s
Metro, had only 10 applications serving its customers in 2012 (1 to 121,400 Source: Rojas, 2012
1. 8: From Big data to Big Social and Economic Opportunities 84 The Global Information technology Report 2014
 2014 World Economic Forum data analysis, information science, metadata and data visualization. The demand for engineers who specialize
in technologies such as machine learning and natural language processing will also increase, and a gap between the supply and demand for these types of
skills may hinder data-driven innovation†s full potential The United states itself will need up to 190,000 more
workers with deep analytical expertise by 2018.38 This clear demand for skilled workers is further evidence of
data-driven innovation†s potential benefits for economies CONCLUSION We have begun already to see the impact technology
has had on the volume and speed at which data may be generated, analyzed, and put to use.
Thirty years ago we needed an army of data-entry clerks to feed an information into a system;
today, the information is already available in a machine-readable format. We carry devices with sensors that can provide incredible
amounts of information in real time. Every day, the world adds petabytes of information into social networks and other Internet platforms
Talking about this phenomenon as â€oebig data, †however, misses the true potential of data.
Instead, we should focus our discussion on data-driven innovation as this relates to the results and outcomes of data
use†from generating innovative products and service to improving business and government efficiency. Many other examples provided earlier have shown that data
-driven solutions have transformative social impact as well However, achieving the full potential of data-driven
innovation demands challenging the outdated paradigms established in a significantly less data-intensive world To achieve the maximum benefits from data-driven
innovation, policymakers must take into account the possibility that regulation could preclude economic and societal benefits. Decisions that affect data
-driven innovation are focused usually on the problems of privacy and data protection, but fail to consider
economic and social benefits that regulation could preclude. It is by looking at the big picture surrounding
big data that we can create the right environment for data-driven innovation, and that the individuals
organizations, and economies that may benefit from it can thrive NOTES 1 Gray 2013 2 The Economist 2013a
3 Mayer-Schonberger and Cukier 2013 4 OECD 2013 5 IBM 2013 6 Manyika et al. 2011
7 The Old Farmer†s Almanac, no date, â€oehistory of the Farmer†s Almanac. â€
8 Platzman 1979 9 Hemerly 2013 10 Manyika et al. 2011 11 OECD 2013 12 According to Hilbert (2013, p. 4), â€oethe crux of the †Big Dataâ€
paradigm is actually not the increasingly large amount of data itself, but its analysis for intelligent decision-making. â€
13 Hemerly 2013 14 SIIA 2013 15 Burke 2012 16 Mccormick University 2012. See also Chen 2013
17 Sims 2011 18 See www. flightcaster. com 19 United nations 2012 20 Tapscott and Williams 2007
21 PÃ lissiã du Rausas et al. 2011 22 Mandel 2012, p. 1 23 A collection of studies that quantify the contribution of the Internet
to GDP is available at www. valueoftheweb. com 24 The Economist 2013b 25 The Economist 2011
26 Dugas et al. 2013 27 Lu et al. 2012 28 Talbot 2013 29 Brynjolfsson et al. 2011
30 Cacciola and Gibbons 2012 31 Manyika et al. 2011 32 Esty and Rushing 2007 33 Rojas 2012
37 For example, an IP ADDRESS, by itself, cannot be linked to nor identify an individual, because it identifies only a device connected
Can open data lead to better data Moscow†s city government published about 170 datasets with geo coordinates at the Moscow opendata
After examining the data, Russian members of the Openstreetmap community found many errors and mistakes, including wrong geo coordinates.
reviewing open statistical data from the United Kingdom†s National Health Service, found that records said that
After this research was published, data systems were improved Source: Open Knowledge Foundation, 2013 The Global Information technology Report 2014 85
1. 8: From Big data to Big Social and Economic Opportunities  2014 World Economic Forum
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-UNGLOBALPULSEJUNE2012. pdf 1. 8: From Big data to Big Social and Economic Opportunities 86 The Global Information technology Report 2014
 2014 World Economic Forum CHAPTER 1. 9 Making Big data Something More than the â€oenext Big Thingâ€
ANANT GUPTA HCL Technologies Big data is the business buzzword du jour. But how can you turn this hot topic into a real source of business
value You have heard certainly the breathless spiel: The world today is being flooded with digital data, in myriad
manifestations and washing over us at such incredible speed that making sense of it is dauntingly difficult.
Yet this tidal wave of data†when channeled and filtered by an array of new information technologies†holds untold
value for organizations, whether they are small not-for -profits or Fortune 500 companies Or so we are told.
But despite the sometimes exaggerated hype surrounding â€oebig data, †the fundamental assertion is true:
data†and the decisions driven by those data†now represent the next frontier of innovation and productivity
Estimates of the potential benefits of leveraging big data are indeed staggering: productivity-led savings
worth US$300 billion a year for the US healthcare industry and â 250 billion for the European public sector
a 60 percent potential increase in retailers†operating margins. 1 And technology seems poised to deliver these
benefits. One small example: data storage technology has advanced to the point that only US$600 is all it takes
to purchase storage space that can accommodate the entire world†s music! 2 Some large companies have used indeed emerging
technologies to extract significant value from big data Visa recently announced that increasing from 40 to 200
honed by the monthly clickstream data of 45 million online shoppers, tailors offerings to online
But for most businesses, the promise of big data is nowhere close to being fulfilled. For one thing, spending on it is polarized.
While the telecommunications, travel retail, life sciences, and financial services industries are making significant strides in big data technologies, other
industries, such as manufacturing and government, 5 are in a wait-and-watch mode The lack of major big data initiatives across
industries can be seen in the numbers from service providers. In 2012, the global top 20 big data players
made less than 1 percent of their total revenues from big data. The total market for big data hardware, software
and services in 2012 was US$11. 5 billion, whereas the combined overall revenue of those 20 big data players
was more than US$1. 2 trillion The disparity between a few success stories and the lack of action elsewhere has created a high level of
anxiety within firms that have not yet begun to explore big data. But it is important that they not rush
thoughtlessly into the fray. An organization should make The Global Information technology Report 2014 87 Â 2014 World Economic Forum
a big data investment only if it has well-defined and realizable business objectives We offer here nine steps that companies can take
to begin turning big data talk into action, buzz into business benefits WHY IS EXTRACTING VALUE FROM BIG DATA
SO HARD First, though, we examine some of the barriers to realizing big data†s promise
Volume, velocity, and variety Big data is said often to be characterized by 3 Vs: its tremendous volume, the velocity at which it needs
to be processed, and the variety of data types it encompasses. The first two characteristics are fairly
obvious: technology has made it possible to capture increasingly large amounts of information and make it available for analysis in real time
But mining the value of big data also is difficult because it requires simultaneously analyzing various
types of information†transactions, log data, mail documents, social media interactions, machine data geospatial data, video and audio data, to name just a
few†much of which is â€oeunstructured. †Traditional types of business data were available in a format that was
structured and could have been automatically analyzed†for example, a spreadsheet quantifying customer returns of different products at different stores over
time. However, much of the value in big data exists in unstructured information†for example, the transcript of a
chat session between a retail customer and a customer service representative Synthesizing unstructured data from numerous
sources and extracting relevant information from it can be as much art as science Talent scarcity
Much has been said and published about the looming talent gap. Estimates suggest that the United states alone faces a shortage of 140,000 to 190,000 people
and managers to analyze big data and make decisions based on those findings. 6 Another report predicts that
only one-third of 4. 4 million big data jobs created by 2015 will be filled. 7 Unlike traditional analytics,
data requires an extremely diverse set of skills†deep business insights, data visualization, statistics, machine learning, and computer programming.
Policy should work to mitigate this talent shortage through forward -looking education and immigration policies
Flawed data governance Big data is not a substitute for†much less a solution for†flawed information management practices
If anything, it requires much more rigorous data governance structures. Without those improvements information technology (IT) systems that have not been
upgraded to handle large volumes of data are likely to collapse under the sheer weight of the data being
processed. Surveys suggest that business leaders are excited often more about the potential of big data Box 1:
A user†s glossary of key big data terms As an organization plans its big data strategy, the following
terms are likely to be used with increasing frequency •Hadoop: A batch-oriented programming framework
that supports the processing of large data sets in a distributed computing environment. Hadoop is written in the Java programming language and is a top-level
Apache project (Apache is decentralized a community of developers supporting open-source software •HBASE: A nonrelational, column-oriented distributed
database written in Java. A column-oriented database stores data tables as sections of columns of data
rather than as rows of data, as in most relational databases, providing fast aggregation and computation
of large numbers of similar data items •HDFS: A distributed, scalable, and portable file system
written in Java for the Hadoop framework •Hive: A data warehouse infrastructure built on top
of Hadoop, providing data summarization, query and analysis. It permits queries over the data using a
familiar SQL-like syntax •Flume: A tool for collecting, aggregating, and moving large amounts of log data from applications to
Hadoop •Mahout: A library of Hadoop implementations of common analytical computations •Oozie: A workflow scheduler system developed to
manage Hadoop jobs •Pig: A platform for analyzing large datasets that consists of a high-level language (Pig Latin) for
expressing data analysis programs, coupled with infrastructure for evaluating these programs •R: R is a free software programming language and
software environment for statistical computing and graphics. The R language is used widely among statisticians and data miners for developing statistical
software and data analysis •Sqoop: A tool facilitating the transfer of data from relational databases into Hadoop
•Zookeeper: A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services for
distributed applications Source: HCL 2013b 1. 9: Making Big data Something More than the â€oenext Big Thingâ€
88 The Global Information technology Report 2014 Â 2014 World Economic Forum than their IT counterparts.
That may be because of IT executives†understanding of the realities on the ground Lack of a data-driven mind-set
Because mind-set can be hard to pin down, its power is underestimated often. That is a mistake when it
comes to assessing the prerequisites to successful analytics deployment. It is virtually impossible for big
data investments to deliver value if business leaders do not have driven a data mind-set†that is,
if they do not believe that it is important for decisions to be based on cold, hard numbers rather than gut feel and experience
But once the right mind-set takes hold, other good things will follow: data-driven business leaders will have
a tremendous incentive to treat data, and therefore the IT and analytics professionals who help deliver it in an
understandable form, as a strategic asset. And these leaders will make it a priority to ease the flow of data
across organizational silos Lack of technical know-how Big data represents a convergence of IT and data science
Technologies include Hadoop (which enables large -scale processing of diverse datasets), R (a programming language for statistics),
and in-memory databases where data reside on main memory as opposed to disk storage).
) Data science includes, among many other areas machine learning (systems that learn from data) and data warehousing.
Big data professionals are expected to be familiar with both disciplines, but this combination is rare despite the training courses that are sprouting up globally
For descriptions of some of the technologies that enable the analysis of big data, see Boxâ 1
NINE STEPS TO BIG DATA VALUE CREATION The barriers to extracting business value from big data can seem daunting.
But they can be overcome through a systematic plan, one that breaks down the challenge
into a series of nine sequential steps that will enable organizations to take advantage of this valuable and
growing asset. We will consider each of these steps individually here Step 1: Define responsibilities
Who collects, who analyzes, and who drives value The onus of collecting data should be shared by the
IT and analytics teams, but analysis must be the sole responsibility of analytics professionals. Similarly, only
functional leaders†for example, the Chief Marketing Officer, the Chief Financial officer, and the Chief Procurement Officer†should be responsible for
identifying areas within their respective functions where big data could drive value. However, getting this level of
support from functional leaders is not easy, especially if the team†IT and analytics or a dedicated big data
center of excellence†reside outside of the business function. In order to drive the big data program, the
team may want to appoint a big data program sponsor for each function and work closely with him or her to
discover and locate the types of information that would improve business outcomes. Most importantly, however the program sponsor would try to get functional buy in
and identify big data opportunities within the function Step 2: Get the business functions to ask the right
questions Senior executives will have an easier time winning buy in from business functions if they demonstrate how
big data might be valuable to them. Simple questions such as â€oewhat would you really like to know about
your business, and how can data help you with it? †are a good place to start.
Such questions can spur the functional experts themselves to start asking the more fundamental questions that can unlock the value of data
For instance, marketing professionals could ask, â€oewhat is the value of a †tweet†or a †likeâ€?
Are our investments in customer service paying off? What is the optimal price for our product right now?
†The ability to ask the right questions is key to succeeding with big data. It also
pays to keep in mind that big data is not about data themselves; it is about using data to discover insights
that can lead to valuable outcomes Step 3: Take stock of all data â€oeworth analyzing. â€
Valuable business insight can come from many sources including social media feeds, activity streams, and â€oedark data†(data that are currently unused but that
have already been captured), machine instrumentation and operational technology feeds. It is important to explore these sources and to experiment with new
ways of capturing information, such as complex -event processing, video search, and text analytics Organizations†data typically fit into four buckets
•Operational data, such as data emanating from smart grid meters, embedded systems (examples include microwave sensors
and chips inserted in automobiles), transactions logs (such as payment transactions), radio-frequency identification chips RFID), navigation and location sensors, networks
and servers •Streaming data, such as computer network data phone conversations, and so on •Documents and content, such as PDFS, web
content, and legal discovery elements (electronic information exchange in civil litigations •Rich media, including audio and video tracks
electronic images, and so on The Global Information technology Report 2014 89 1. 9: Making Big data Something More than the â€oenext Big Thingâ€
 2014 World Economic Forum Step 4: Select the business functions best positioned to lead the way
It is smart to launch big data initiatives in business functions that are most ready to collect and analyze
data and for which the potential payback is high Functions such as marketing, customer service, supply chain management,
and finance are poised for maximum growth. If system readiness is not an issue, these are
usually the right places to direct initial investments see Figureâ 1 Step 5: Match big data initiatives with compatible
business functions Some big data programs can be implemented in a variety of settings, but most are suited to specific
functions. For example •Customer functions (such as marketing e-commerce, and customer service) can use big data for targeted advertising that provides
personalized offers to consumers based on their socio-demographic characteristics, and for loyalty management that extends channel reach from
point of sale, web, and call center to include mobile and social capabilities •Finance functions (such as finance, risk, and
treasury) can use big data for intraday liquidity management, providing real-time monitoring of price movements in relation to positions, to make
trading and rebalancing decisions, and for improved credit risk assessment, through multiple big data†supported credit risk assessments that factor in
hundreds or even thousands of indicators •Supply chain and procurement can use big data for dynamic route optimization because big data
technologies that are faster than conventional systems allow more iterations and faster route planning in real-time
Step 6: Determine whether big data will yield valuable information unavailable through traditional business analytics Making the business case for a big data initiative
clearly will be easier if it can be shown that it creates new value. For instance, if a marketing department is
currently segmenting customer profiles using standard demographic indicators, would there be additional benefit in analyzing attitudes and preferences (at a
granular level) through text and speech analysis Similarly, if a traditional business intelligence program is currently analyzing financial market sentiments
using structured stock information, would it make the sentiment analysis more refined by including social
media feeds, news sites, and so on In comparing views of data from a traditional business intelligence perspective versus a big data
one, consider the following the questions: What data are we capturing today? What are the limitations of this
kind of structured data? What extra value will we get by collecting external, context-specific, and unstructured
data? Where will we find data and how will we collect them? Would our business act upon the insights
0 5 10 15 20 25 30 35 40 45 50 0 10 20 30
40 50 Figureâ 1: Potential payback of big data initiatives Source: Gartner, 2013 Da ta s
ys te m s m os t f it fo r p ur po se
Easy pickings Overeager Invest here Not ready but who cares Most opportunity for analysis Least opportunity for analysis
Data system s least fit for purpose Customer service Operations & production Sales Finance Information & research
Risk/security R&d Procurement Supply chain management IT Operations, real estate planning Regulatory compliance Legal Human resources
Marketing Strategy & business development General management 1. 9: Making Big data Something More than the â€oenext Big Thingâ€
90 The Global Information technology Report 2014 Â 2014 World Economic Forum gained? Is the extra business value worth the additional
investment of time, energy, and money Step 7: Assess complexities and prioritize accordingly All else being equal,
an organization should begin its big data experimentation with an initiative that is not too demanding. In assessing possibilities,
it is helpful to keep in mind the complexity of both the type of data and the
type of analysis the data will require As we mentioned above, much of what is meant
by â€oebig data†is unstructured information†data that traditionally have been impossible to break down and categorize as they are collected.
Such data are not only difficult to analyze but can also be misinterpreted easily when taken out of context.
Thus it makes sense to experiment in the beginning with data that are relatively easy to analyze
Different types of analysis also present varying degrees of complexity. Generally speaking, descriptive analytics (which answers â€oewhat happened?
††for example, an analysis of social media sentiment analysis) are relatively easy to do. However, diagnostic
analytics (which answers â€oewhy did it happen? ††for example, an analysis of customer defection at the
shopping cart stage of the online purchase process predictive analytics (which answers â€oewhat will happen? ††for example, forecasts of customer churn in
telecommunications); ) and prescriptive analytics (which answers â€oehow can we make it happen? ††for example determining whether personalized offers to customers
would make sense), are increasingly complex to conduct Step 8: Assess your technology architecture An organization†s traditional information architecture
may not accommodate massive, high-speed, variable data flows. Many traditional and even state-of-the -art technologies were designed not for today†s or
tomorrow†s level of data volume, velocity, and variety Even as datasets grow exponentially along those
dimensions, the investments required for scaling technologies (such as processors, storage, database management systems, and analytics) to perform
efficiently grow even faster. To counter these intractable economics, organizations need to consider a variety of
methods to upgrade their infrastructure in support of or in anticipation of big data In fact, the idea that big data involves negligible
cost because it is analyzed using open-source tools and platforms is a myth. â€oefree†open-source technologies
such as Hadoop (which enables large-scale processing of diverse datasets) are typically not immediately usable. You need either to hire
and train data scientists and analysts in Hadoop programming, or to buy an enterprise-ready version of Hadoop
If the outcome of big data analysis is mission-critical for your business, it probably makes sense to use only
purpose-built hardware. Generic servers may be fine for smaller projects and proofs of concept, but specifically
designed, enterprise-grade servers, storage, and networking products are best for large-scale-production solutions Creating or upgrading to big data†ready technology
architecture is no small feat. Building everything from scratch takes time, and buying everything is expensive
Therefore, finding the right combination of insourcing and outsourcing requires careful consideration Step 9: Start building a team
Big data initiatives require multidisciplinary teams of business and technology experts. Every team member†business analyst, programmer, data scientist, and data
visualizer†will need to have cross-functional familiarity Building this team is a five-step process
•Break down your talent needs into four distinct areas: business analysis, analytics, database technology, and data visualization
•Scan your internal landscape for the aforementioned skills. Although they may not be in the target
department, every organization probably already includes people who know the business, possess data-crunching capabilities,
and make data-driven decisions •Hire people with needed skills if they are not
available or cannot be acquired by cross-training existing employees •Hire people with related skills if the needed skills
are unavailable within your organization or difficult to acquire through external hires. For instance consider substituting statisticians for the much less
common data scientists •Start small and scale up. In the beginning, your needs will be modest. A few hires may be adequate
to get started Some are even predicting that big data analytics will lead to the emergence of an entirely new set of CXO roles
within enterprises†Chief Data Officer, Chief Digital Officer Chief Analytics Officer, and so on. That said, the structure
of most organizations would make it difficult for someone owning the big data portfolio to succeed. Without clear
line responsibilities, a CDO (whichever flavor, Data or Digital) or a CAO would have little leverage to execute the
important tasks needed to increase the organization†s big data capabilities and optimize its initiatives
Instead, big data and business analytics expertise should fall within existing functions†for example finance, human resources, and marketing†with the aim
of furthering the strategic initiatives of those functions The efforts of the big data teams in these areas could
be overseen and coordinated by a big data manager reporting to the Chief Information Officer, who would
The Global Information technology Report 2014 91 1. 9: Making Big data Something More than the â€oenext Big Thingâ€
 2014 World Economic Forum ensure that best practices were adopted and that initiatives were coordinated
Following the nine steps described above will help the IT function to assume such responsibilities
CASE STUDIES Many global organizations have begun already embarking on deriving value out of big data initiatives Almost all of them have defined step-by-step frameworks
somewhat similar to the one outlined above. The sheer variety of value creation evident†from clinical trials
and marketing to risk management and audits, from analyzing crop and seed production to fan listening
posts†is also staggering (see Boxâ 2 RECOMMENDATIONS FOR GOVERNMENT ACTIONS AND POLICIES In order to take full advantage of the potential of big data
in both the public and private sectors, we recommend that governments create a vision and platform for public
-sector open data. We believe that open data will be an essential characteristic of future public policy.
It is important that such a vision percolate down from the top to garner support from ministries and civil servants alike
so that open data initiatives function effectively Communicating from the very top that open data is an essential characteristic of public policy is crucial
Furthermore, governments should create an easy-to -use platform for the public to access the data in a form
that is easily digestible and ready for analysis. It is also advisable to develop rules and regulations for taxing the
commercial use of open data Governments should spearhead the effort to ensure the privacy and security of personal data.
The appropriate agency should take a leading role in working with all relevant private-and public-sector entities
personal data and means for enforcement Box 2: Organizations already using big data initiatives A few organizations that have followed frameworks for using
big data include •A US-based mid-to upscale chain of department stores is gaining new insights from analyzing and combining data
on Hadoop with data from traditional databases to turn its marketing staff from â€oemad Men†to â€oemath Men. â€
•A US-based provider of business outsourcing solutions has set up an innovation lab where subject experts from
different industries and backgrounds work together to tackle big data analytics •An Indianapolis-based global pharmaceutical company
is using big data to develop an integrated approach to optimizing how clinical trials are conducted and eliminate
inefficiencies •A US-based document management corporation is applying its decades of expertise in imaging technologies
analysis of data •Australia-based telecommunications companies use big data to determine which of their customers are less likely
to pay their bills, allowing them to focus collection efforts on that group rather than across the whole customer
base •A global corporation offering computer-assisted legal research services uses a big data technology platform
it has developed in house both for its risk management business and for gathering data it sells to its clients.
It now also sells this big data platform through its newly established subsidiary •A US-based multinational consumer goods company has
developed a decision-support environment used by more than 60,000 employees worldwide to see what is
happening in the business, to understand why it is happening, and to determine how to respond to changing
reporting, with data visualization showing the relative revenue and profit contribution of each region, country territory, brand, and product.
well as live videoconferencing sessions, allowing remote executives to attend weekly review meetings in person •A California-based multinational energy corporation is
using big data to transform the audit function. It runs audit tests on all of its accounts payable transactions instead
local seed and crop protection data from its test sites to provide a service that generates field performance
Making Big data Something More than the â€oenext Big Thing†92 The Global Information technology Report 2014  2014 World Economic Forum
Moreover, it is essential to develop and execute a big data plan for all government services and activities
The plan should identify all government data worth analyzing, define data collection responsibilities, outline steps to ensure data quality,
and determine where big data technologies and analysis capabilities should be first deployed Finally, each government should establish a big
data center of excellence (BDCOE. The BDCOE should be the focal point of expertise, long-range thinking and
policy formulation, and training and development. It should also be the repository of best practices.
It should not only serve as a resource for all government agencies but should also act as the government†s leading
authority on all matters related to data management CONCLUSION Big data analytics is not a passing fad. It will be a
central means of creating value for the organization of tomorrow†and that is â€oetomorrow†almost literally.
It represents a major change in the way that businesses and other organizations will operate and will require a
becoming competent in the realm of big data. A step -by-step approach can make the transition seem less
What†s the Big Deal with Big data for Customer service Webinar with Gareth Herschel, Research director, Gartner and
Michael Maoz, VP Distinguished Analyst, Gartner. September 17 Available at http://my. gartner. com/portal/server. pt?
open=512&obji D=202&mode=2&pageid=5553&ref=webinar-rss&resid=2569818 HCL Technologies. 2013a. Strategic intelligence Wing Research on Big
Data (the research arm of HCL Technologies ††â€. 2013b. CIO Straight Talk Issue 3. Quincy, Mass, US and
Noida, India: HCL Technologies. Available at http://magazine straighttalkonline. com/issue3 /Laney, D. 2012. Big data Strategy Components:
IT Essentials. October 15, ID G00238944. Chicago: Gartner Manyika, J.,M. Chui, B. Brown, J. Bughin, R, Dobbs, C. Roxburgh, and
A. Hung Byers. 2011. â€oebig Data: The next Frontier for Innovation Competition, and Productivity. †Mckinsey Global Institute Report
The Global Information technology Report 2014 93 1. 9: Making Big data Something More than the â€oenext Big Thingâ€
 2014 World Economic Forum  2014 World Economic Forum Part 2 Country/Economy Profiles
The Global Information technology Report 2014 97 How to Read the Country/Economy Profiles The Country/Economy Profiles section presents a profile
Information technology Report 2014. Each profile sum -marizes an economy†s performance in the various di
variables matches that of the data tables in the next sec -tion of the Report, which provide descriptions, rankings
website at www. weforum. org/gcr For those indicators not derived from the World Economic Forum†s Executive Opinion Survey, the scale
computation, and sources Note that for the sake of readability, the years were omitted. However, the year of each data point is
indicated in the corresponding data table. For more in -formation on the framework and computation of the NRI
refer to Chapter 1. 1 ONLINE DATA PORTAL In complement to the analysis presented in this
Report, an online data portal can be accessed via www weforum. org/gitr. The platform offers a number of analyt
-ical tools and visualizations, including sortable rankings scatter plots, bar charts, and maps, as well as the pos
100 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...77.75 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
76.17.4 3. 04 Secure Internet servers/million pop...85.19.0 3. 05 Accessibility of digital content*..
*116.4.1 4th pillar: Affordability 4. 01 Mobile cellular tariffs, PPP $/min...120.0.44 4. 02 Fixed broadband Internet tariffs, PPP $/month..
48.26.05 4. 03 Internet & telephony competition, 0†2 (best...92.1.64 5th pillar: Skills 5. 01 Quality of educational system*..
*52.4.0 5. 02 Quality of math & science education*..*54.4.3 5. 03 Secondary education gross enrollment rate%..
%90.82.4 5. 04 Adult literacy rate%..%56.96.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...70.110.7 6. 02 Individuals using Internet%..%58.54.7 6. 03 Households w/personal computer%..
%95.20.0 6. 04 Households w/Internet access%..%87.20.5 6. 05 Fixed broadband Internet subs.//100 pop...
78.5.1 6. 06 Mobile broadband subscriptions/100 pop...71.18.8 6. 07 Use of virtual social networks*..
*110.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*108.4.2 7. 02 Capacity for innovation*..
*121.3.0 7. 03 PCT patents, applications/million pop...85.0.3 7. 04 Business-to-business Internet use*..*135.3.8
7. 05 Business-to-consumer Internet use*..*131.3.4 7. 06 Extent of staff training*..*36.4.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*78.3.9 8. 02 Government Online service Index, 0†1 (best...
88.0.42 8. 03 Gov†t success in ICT promotion*..*106.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
100 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...77.75 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
76.17.4 3. 04 Secure Internet servers/million pop...85.19.0 3. 05 Accessibility of digital content*..
*116.4.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...120.0.44 4. 02 Fixed broadband Internet tariffs, PPP $/month..
48.26.05 4. 03 Internet & telephony competition, 0†2 (best...92.1.64 5th pillar: Skills 5. 01 Quality of educational system*..
*52.4.0 5. 02 Quality of math & science education*..*54.4.3 5. 03 Secondary education gross enrollment rate%..
%90.82.4 5. 04 Adult literacy rate%..%56.96.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...70.110.7 6. 02 Individuals using Internet%..%58.54.7 6. 03 Households w/personal computer%..
%95.20.0 6. 04 Households w/Internet access%..%87.20.5 6. 05 Fixed broadband Internet subs.//100 pop...
78.5.1 6. 06 Mobile broadband subscriptions/100 pop...71.18.8 6. 07 Use of virtual social networks*..
*110.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*108.4.2 7. 02 Capacity for innovation*..
*121.3.0 7. 03 PCT patents, applications/million pop...85.0.3 7. 04 Business-to-business Internet use*..*135.3.8
7. 05 Business-to-consumer Internet use*..*131.3.4 7. 06 Extent of staff training*..*36.4.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*78.3.9 8. 02 Government Online service Index, 0†1 (best...
88.0.42 8. 03 Gov†t success in ICT promotion*..*106.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 101 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...95.84 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...124.81.5 3. 03 Int†l Internet bandwidth, kb/s per user...
99.7.7 3. 04 Secure Internet servers/million pop...128.1.3 3. 05 Accessibility of digital content*..
*144.3.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...49.0.18 4. 02 Fixed broadband Internet tariffs, PPP $/month..
28.20.94 4. 03 Internet & telephony competition, 0†2 (best...104.1.33 5th pillar: Skills 5. 01 Quality of educational system*..
*133.2.7 5. 02 Quality of math & science education*..*132.2.7 5. 03 Secondary education gross enrollment rate%..
%46.97.6 5. 04 Adult literacy rate%..%117.72.6 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...94.97.9 6. 02 Individuals using Internet%..%113.15.2 6. 03 Households w/personal computer%..
%90.24.2 6. 04 Households w/Internet access%..%91.19.4 6. 05 Fixed broadband Internet subs.//100 pop...
90.2.9 6. 06 Mobile broadband subscriptions/100 pop...140.0.0 6. 07 Use of virtual social networks*..
*104.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*147.3.2 7. 02 Capacity for innovation*..
*147.2.3 7. 03 PCT patents, applications/million pop...98.0.1 7. 04 Business-to-business Internet use*..*147.3.0
7. 05 Business-to-consumer Internet use*..*145.2.7 7. 06 Extent of staff training*..*139.3.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*122.3.2 8. 02 Government Online service Index, 0†1 (best...
123.0.25 8. 03 Gov†t success in ICT promotion*..*136.3.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
102 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...139.40.0 3. 03 Int†l Internet bandwidth, kb/s per user...
142.0.6 3. 04 Secure Internet servers/million pop...110.3.5 3. 05 Accessibility of digital content*..
*135.3.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...81.0.28 4. 02 Fixed broadband Internet tariffs, PPP $/month 115.57.22
4. 03 Internet & telephony competition, 0†2 (best...104.1.33 5th pillar: Skills 5. 01 Quality of educational system*..
*144.2.2 5. 02 Quality of math & science education*..*147.2.1 5. 03 Secondary education gross enrollment rate,%140.31.5
5. 04 Adult literacy rate%..%121.70.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
138.47.1 6. 02 Individuals using Internet%..%109.16.9 6. 03 Households w/personal computer%..%118.8.5 6. 04 Households w/Internet access%..
%115.7.2 6. 05 Fixed broadband Internet subs.//100 pop...124.0.2 6. 06 Mobile broadband subscriptions/100 pop...
120.1.5 6. 07 Use of virtual social networks*..*123.4.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*145.3.3 7. 02 Capacity for innovation*..*146.2.5 7. 03 PCT patents, applications/million pop...118.0.0
7. 04 Business-to-business Internet use*..*144.3.2 7. 05 Business-to-consumer Internet use*..*139.3.0 7. 06 Extent of staff training*..
*124.3.3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*137.2.8
8. 02 Government Online service Index, 0†1 (best...106.0.33 8. 03 Gov†t success in ICT promotion*..
*126.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 103 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...69.69 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...109.94.1 3. 03 Int†l Internet bandwidth, kb/s per user...
67.22.0 3. 04 Secure Internet servers/million pop...62.41.8 3. 05 Accessibility of digital content*..
*88.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...141.0.77 4. 02 Fixed broadband Internet tariffs, PPP $/month..
79.33.99 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*104.3.2 5. 02 Quality of math & science education*..
*116.3.2 5. 03 Secondary education gross enrollment rate%..%72.90.2 5. 04 Adult literacy rate%..%50.97.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...19.151.9 6. 02 Individuals using Internet%..%54.55.8 6. 03 Households w/personal computer%..
%58.56.0 6. 04 Households w/Internet access%..%58.47.5 6. 05 Fixed broadband Internet subs.//100 pop...
56.10.9 6. 06 Mobile broadband subscriptions/100 pop...69.20.9 6. 07 Use of virtual social networks*..
*45.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*115.4.1 7. 02 Capacity for innovation*..
*91.3.3 7. 03 PCT patents, applications/million pop...62.1.3 7. 04 Business-to-business Internet use*..*106.4.4
7. 05 Business-to-consumer Internet use*..*68.4.6 7. 06 Extent of staff training*..*100.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*143.2.5 8. 02 Government Online service Index, 0†1 (best...
59.0.53 8. 03 Gov†t success in ICT promotion*..*141.3.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
104 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...101.88 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...43.99.8 3. 03 Int†l Internet bandwidth, kb/s per user...
47.40.4 3. 04 Secure Internet servers/million pop...72.26.9 3. 05 Accessibility of digital content*..
*64.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...63.0.22 4. 02 Fixed broadband Internet tariffs, PPP $/month..
54.28.13 4. 03 Internet & telephony competition, 0†2 (best...113.1.25 5th pillar: Skills 5. 01 Quality of educational system*..
*69.3.7 5. 02 Quality of math & science education*..*67.4.2 5. 03 Secondary education gross enrollment rate%..
%54.95.9 5. 04 Adult literacy rate%..%11.99.6 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...65.111.9 6. 02 Individuals using Internet%..%84.39.2 6. 03 Households w/personal computer%..
%79.34.0 6. 04 Households w/Internet access%..%81.25.4 6. 05 Fixed broadband Internet subs.//100 pop...
74.6.7 6. 06 Mobile broadband subscriptions/100 pop...55.29.1 6. 07 Use of virtual social networks*..
*67.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*98.4.4 7. 02 Capacity for innovation*..
*77.3.4 7. 03 PCT patents, applications/million pop...50.3.5 7. 04 Business-to-business Internet use*..*48.5.2
7. 05 Business-to-consumer Internet use*..*78.4.4 7. 06 Extent of staff training*..*114.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*47.4.4 8. 02 Government Online service Index, 0†1 (best...
109.0.33 8. 03 Gov†t success in ICT promotion*..*46.4.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 105 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...5...23 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
33.69.1 3. 04 Secure Internet servers/million pop...8..1, 724.5 3. 05 Accessibility of digital content*..
*22.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...26.0.10 4. 02 Fixed broadband Internet tariffs, PPP $/month 101.41.30
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*23.4.8 5. 02 Quality of math & science education*..*37.4.6
5. 03 Secondary education gross enrollment rate%..%1...133.0 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...84.105.6 6. 02 Individuals using Internet%..%18.82.4 6. 03 Households w/personal computer%..
%17.85.2 6. 04 Households w/Internet access%..%17.81.4 6. 05 Fixed broadband Internet subs.//100 pop...
25.24.3 6. 06 Mobile broadband subscriptions/100 pop...7...96.2 6. 07 Use of virtual social networks*..
*10.6.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*14.5.8 7. 02 Capacity for innovation*..
*23.4.5 7. 03 PCT patents, applications/million pop...21.76.2 7. 04 Business-to-business Internet use*..*27.5.6
7. 05 Business-to-consumer Internet use*..*12.5.8 7. 06 Extent of staff training*..*30.4.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*25.4.7 8. 02 Government Online service Index, 0†1 (best...
9...0. 86 8. 03 Gov†t success in ICT promotion*..*48.4.6 9th pillar: Economic impacts
106 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...5...23 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
17.108.1 3. 04 Secure Internet servers/million pop...16.1,134 134. 7 3. 05 Accessibility of digital content*..
*15.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...20.0.08 4. 02 Fixed broadband Internet tariffs, PPP $/month..
87.35.98 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*24.4.8 5. 02 Quality of math & science education*..
*39.4.6 5. 03 Secondary education gross enrollment rate%..%41.98.0 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...11.160.5 6. 02 Individuals using Internet%..%21.81.0 6. 03 Households w/personal computer%..
%22.81.0 6. 04 Households w/Internet access%..%20.79.0 6. 05 Fixed broadband Internet subs.//100 pop...
23.25.0 6. 06 Mobile broadband subscriptions/100 pop...23.56.3 6. 07 Use of virtual social networks*..
*21.6.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*17.5.8 7. 02 Capacity for innovation*..
*14.5.0 7. 03 PCT patents, applications/million pop...10.159.6 7. 04 Business-to-business Internet use*..*9...5. 9
7. 05 Business-to-consumer Internet use*..*17.5.6 7. 06 Extent of staff training*..*16.4.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*69.3.9 8. 02 Government Online service Index, 0†1 (best...
26.0.75 8. 03 Gov†t success in ICT promotion*..*56.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 107 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...100.87 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
45.40.6 3. 04 Secure Internet servers/million pop...101.6.5 3. 05 Accessibility of digital content*..
*50.5.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...65.0.22 4. 02 Fixed broadband Internet tariffs, PPP $/month..
18.17.99 4. 03 Internet & telephony competition, 0†2 (best...102.1.40 5th pillar: Skills 5. 01 Quality of educational system*..
*114.3.1 5. 02 Quality of math & science education*..*110.3.3 5. 03 Secondary education gross enrollment rate%..
%38.99.5 5. 04 Adult literacy rate%..%3...99.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...73.108.8 6. 02 Individuals using Internet%..%59.54.2 6. 03 Households w/personal computer%..
%67.45.0 6. 04 Households w/Internet access%..%61.46.8 6. 05 Fixed broadband Internet subs.//100 pop...
46.14.1 6. 06 Mobile broadband subscriptions/100 pop...46.34.8 6. 07 Use of virtual social networks*..
*38.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*59.4.9 7. 02 Capacity for innovation*..
*35.4.1 7. 03 PCT patents, applications/million pop...77.0.6 7. 04 Business-to-business Internet use*..*47.5.2
7. 05 Business-to-consumer Internet use*..*51.4.9 7. 06 Extent of staff training*..*80.3.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*6...5. 5 8. 02 Government Online service Index, 0†1 (best...
98.0.37 8. 03 Gov†t success in ICT promotion*..*8...5. 6 9th pillar: Economic impacts
108 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...44.54 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
74.18.1 3. 04 Secure Internet servers/million pop...45.135.8 3. 05 Accessibility of digital content*..
*38.5.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...32.0.13 4. 02 Fixed broadband Internet tariffs, PPP $/month..
55.28.21 4. 03 Internet & telephony competition, 0†2 (best...63.1.92 5th pillar: Skills 5. 01 Quality of educational system*..
*48.4.1 5. 02 Quality of math & science education*..*77.4.0 5. 03 Secondary education gross enrollment rate%..
%56.95.5 5. 04 Adult literacy rate%..%80.91.9 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...10.161.2 6. 02 Individuals using Internet%..%10.88.0 6. 03 Households w/personal computer%..
%3...92.7 6. 04 Households w/Internet access%..%20.79.0 6. 05 Fixed broadband Internet subs.//100 pop...
49.13.2 6. 06 Mobile broadband subscriptions/100 pop...8...91.2 6. 07 Use of virtual social networks*..
*12.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*30.5.5 7. 02 Capacity for innovation*..
*82.3.4 7. 03 PCT patents, applications/million pop...69.1.0 7. 04 Business-to-business Internet use*..*38.5.4
7. 05 Business-to-consumer Internet use*..*87.4.2 7. 06 Extent of staff training*..*41.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*14.5.2 8. 02 Government Online service Index, 0†1 (best...
9...0. 86 8. 03 Gov†t success in ICT promotion*..*12.5.5 9th pillar: Economic impacts
The Global Information technology Report 2014 109 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...104.90 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
128.3.0 3. 04 Secure Internet servers/million pop...136.0.7 3. 05 Accessibility of digital content*..
*117.4.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...5...0. 04
4. 02 Fixed broadband Internet tariffs, PPP $/month...3...10.37 4. 03 Internet & telephony competition, 0†2 (best...
113.1.25 5th pillar: Skills 5. 01 Quality of educational system*..*98.3.3 5. 02 Quality of math & science education*..
*112.3.3 5. 03 Secondary education gross enrollment rate,%119.50.8 5. 04 Adult literacy rate%..%132.57.7 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...128.62.8 6. 02 Individuals using Internet%..%128.6.3 6. 03 Households w/personal computer%..
%130.4.8 6. 04 Households w/Internet access%..%133.3.2 6. 05 Fixed broadband Internet subs.//100 pop...
117.0.4 6. 06 Mobile broadband subscriptions/100 pop...127.0.5 6. 07 Use of virtual social networks*..
*138.4.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*111.4.2 7. 02 Capacity for innovation*..
*120.3.0 7. 03 PCT patents, applications/million pop...117.0.0 7. 04 Business-to-business Internet use*..*130.4.0
7. 05 Business-to-consumer Internet use*..*124.3.5 7. 06 Extent of staff training*..*137.3.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*65.4.1 8. 02 Government Online service Index, 0†1 (best...
84.0.44 8. 03 Gov†t success in ICT promotion*..*76.4.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
110 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
34.67.4 3. 04 Secure Internet servers/million pop...30.374.3 3. 05 Accessibility of digital content*..
*28.6.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...136.0.59 4. 02 Fixed broadband Internet tariffs, PPP $/month 129.80.33
4. 03 Internet & telephony competition, 0†2 (best...118.1.20 5th pillar: Skills 5. 01 Quality of educational system*..
*6...5. 3 5. 02 Quality of math & science education*..*9...5. 5 5. 03 Secondary education gross enrollment rate%..
%23.104.7 5. 04 Adult literacy rate%..%n/a n/a INDICATOR RANK/148 VALUE 6th pillar:
6. 01 Mobile phone subscriptions/100 pop...46.122.5 6. 02 Individuals using Internet%..%32.73.3 6. 03 Households w/personal computer%..
%41.69.2 6. 04 Households w/Internet access%..%44.62.9 6. 05 Fixed broadband Internet subs.//100 pop...
30.23.1 6. 06 Mobile broadband subscriptions/100 pop...44.36.0 6. 07 Use of virtual social networks*..
*25.6.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*44.5.2 7. 02 Capacity for innovation*..
*81.3.4 7. 03 PCT patents, applications/million pop...43.6.2 7. 04 Business-to-business Internet use*..*70.4.8
7. 05 Business-to-consumer Internet use*..*79.4.4 7. 06 Extent of staff training*..*32.4.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*53.4.3 8. 02 Government Online service Index, 0†1 (best...
96.0.37 8. 03 Gov†t success in ICT promotion*..*57.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 111 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...7...24 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
11.180.4 3. 04 Secure Internet servers/million pop...22.673.6 3. 05 Accessibility of digital content*..
*26.6.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...135.0.59 4. 02 Fixed broadband Internet tariffs, PPP $/month..
64.29.39 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*7...5. 3 5. 02 Quality of math & science education*..
*3...6. 0 5. 03 Secondary education gross enrollment rate%..%19.106.5 5. 04 Adult literacy rate%..
6. 01 Mobile phone subscriptions/100 pop...68.111.3 6. 02 Individuals using Internet%..%19.82.0 6. 03 Households w/personal computer%..
%25.80.0 6. 04 Households w/Internet access%..%23.78.0 6. 05 Fixed broadband Internet subs.//100 pop...
10.33.3 6. 06 Mobile broadband subscriptions/100 pop...51.33.0 6. 07 Use of virtual social networks*..
*28.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*26.5.6 7. 02 Capacity for innovation*..
*10.5.1 7. 03 PCT patents, applications/million pop...16.110.7 7. 04 Business-to-business Internet use*..*26.5.6
7. 05 Business-to-consumer Internet use*..*34.5.1 7. 06 Extent of staff training*..*19.4.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*63.4.1 8. 02 Government Online service Index, 0†1 (best...
39.0.65 8. 03 Gov†t success in ICT promotion*..*68.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
112 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
126.3.2 3. 04 Secure Internet servers/million pop...137.0.7 3. 05 Accessibility of digital content*..
*141.3.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...72.0.24 4. 02 Fixed broadband Internet tariffs, PPP $/month 132.101.41
4. 03 Internet & telephony competition, 0†2 (best...139.0.50 5th pillar: Skills 5. 01 Quality of educational system*..
*101.3.2 5. 02 Quality of math & science education*..*66.4.2 5. 03 Secondary education gross enrollment rate,%123.47.7
5. 04 Adult literacy rate%..%142.42.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
110.83.7 6. 02 Individuals using Internet%..%136.3.8 6. 03 Households w/personal computer%..%131.4.2 6. 04 Households w/Internet access%..
%139.2.4 6. 05 Fixed broadband Internet subs.//100 pop...134.0.1 6. 06 Mobile broadband subscriptions/100 pop...
129.0.4 6. 07 Use of virtual social networks*..*125.4.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*122.4.0 7. 02 Capacity for innovation*..*114.3.0 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*129.4.0 7. 05 Business-to-consumer Internet use*..*112.3.7 7. 06 Extent of staff training*..
*136.3.1 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*124.3.1
8. 02 Government Online service Index, 0†1 (best...130.0.20 8. 03 Gov†t success in ICT promotion*..
*129.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 113 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
124.3.3 3. 04 Secure Internet servers/million pop...88.12.1 3. 05 Accessibility of digital content*..
*90.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...38.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month..
44.25.66 4. 03 Internet & telephony competition, 0†2 (best...104.1.33 5th pillar: Skills 5. 01 Quality of educational system*..
*41.4.3 5. 02 Quality of math & science education*..*71.4.1 5. 03 Secondary education gross enrollment rate,%101.73.9
5. 04 Adult literacy rate%..%137.52.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
118.75.6 6. 02 Individuals using Internet%..%100.25.4 6. 03 Households w/personal computer%..%101.16.4 6. 04 Households w/Internet access%..
%102.11.6 6. 05 Fixed broadband Internet subs.//100 pop...93.2.3 6. 06 Mobile broadband subscriptions/100 pop...
115.2.5 6. 07 Use of virtual social networks*..*106.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*138.3.7 7. 02 Capacity for innovation*..*78.3.4 7. 03 PCT patents, applications/million pop...82.0.4
7. 04 Business-to-business Internet use*..*134.3.8 7. 05 Business-to-consumer Internet use*..*141.3.0 7. 06 Extent of staff training*..
*119.3.4 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*33.4.5
8. 02 Government Online service Index, 0†1 (best...102.0.35 8. 03 Gov†t success in ICT promotion*..
*61.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
114 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...83.79 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...101.95.0 3. 03 Int†l Internet bandwidth, kb/s per user...
113.5.2 3. 04 Secure Internet servers/million pop...94.9.7 3. 05 Accessibility of digital content*..
*130.3.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...126.0.51 4. 02 Fixed broadband Internet tariffs, PPP $/month 111.49.63
4. 03 Internet & telephony competition, 0†2 (best...136.0.80 5th pillar: Skills 5. 01 Quality of educational system*..
*89.3.4 5. 02 Quality of math & science education*..*98.3.6 5. 03 Secondary education gross enrollment rate%..
%95.77.3 5. 04 Adult literacy rate%..%84.91.2 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...104.90.4 6. 02 Individuals using Internet%..%91.34.2 6. 03 Households w/personal computer%..
%88.25.9 6. 04 Households w/Internet access%..%107.10.0 6. 05 Fixed broadband Internet subs.//100 pop...
107.1.1 6. 06 Mobile broadband subscriptions/100 pop...98.6.6 6. 07 Use of virtual social networks*..
*145.3.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*125.3.9 7. 02 Capacity for innovation*..
*70.3.5 7. 03 PCT patents, applications/million pop...99.0.1 7. 04 Business-to-business Internet use*..*137.3.7
7. 05 Business-to-consumer Internet use*..*108.3.9 7. 06 Extent of staff training*..*112.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*112.3.4 8. 02 Government Online service Index, 0†1 (best...
92.0.41 8. 03 Gov†t success in ICT promotion*..*119.3.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 115 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...62.66 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...43.99.8 3. 03 Int†l Internet bandwidth, kb/s per user...
65.23.9 3. 04 Secure Internet servers/million pop...74.25.8 3. 05 Accessibility of digital content*..
*36.5.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...88.0.31 4. 02 Fixed broadband Internet tariffs, PPP $/month..
15.15.85 4. 03 Internet & telephony competition, 0†2 (best...74.1.86 5th pillar: Skills 5. 01 Quality of educational system*..
*132.2.7 5. 02 Quality of math & science education*..*13.5.4 5. 03 Secondary education gross enrollment rate%..
%75.89.3 5. 04 Adult literacy rate%..%49.98.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...105.87.6 6. 02 Individuals using Internet%..%40.65.4 6. 03 Households w/personal computer%..
%73.39.8 6. 04 Households w/Internet access%..%70.39.7 6. 05 Fixed broadband Internet subs.//100 pop...
58.10.6 6. 06 Mobile broadband subscriptions/100 pop...83.12.2 6. 07 Use of virtual social networks*..
*44.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*93.4.4 7. 02 Capacity for innovation*..
*108.3.1 7. 03 PCT patents, applications/million pop...57.2.0 7. 04 Business-to-business Internet use*..*101.4.5
7. 05 Business-to-consumer Internet use*..*88.4.2 7. 06 Extent of staff training*..*58.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*86.3.7 8. 02 Government Online service Index, 0†1 (best...
96.0.37 8. 03 Gov†t success in ICT promotion*..*89.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
116 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...87.80 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...97.96.0 3. 03 Int†l Internet bandwidth, kb/s per user...
104.6.5 3. 04 Secure Internet servers/million pop...89.11.5 3. 05 Accessibility of digital content*..
*103.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...125.0.47 4. 02 Fixed broadband Internet tariffs, PPP $/month 137.114.48
4. 03 Internet & telephony competition, 0†2 (best...112.1.27 5th pillar: Skills 5. 01 Quality of educational system*..
*65.3.7 5. 02 Quality of math & science education*..*92.3.8 5. 03 Secondary education gross enrollment rate%..
%92.81.7 5. 04 Adult literacy rate%..%102.85.1 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...17.153.8 6. 02 Individuals using Internet%..%121.11.5 6. 03 Households w/personal computer%..
%109.12.3 6. 04 Households w/Internet access%..%110.9.1 6. 05 Fixed broadband Internet subs.//100 pop...
108.0.9 6. 06 Mobile broadband subscriptions/100 pop...14.74.9 6. 07 Use of virtual social networks*..
*88.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*101.4.3 7. 02 Capacity for innovation*..
*102.3.2 7. 03 PCT patents, applications/million pop...94.0.2 7. 04 Business-to-business Internet use*..*119.4.2
7. 05 Business-to-consumer Internet use*..*122.3.5 7. 06 Extent of staff training*..*87.3.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*61.4.1 8. 02 Government Online service Index, 0†1 (best...
101.0.36 8. 03 Gov†t success in ICT promotion*..*84.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 117 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...40.53 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...28.100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
41.44.8 3. 04 Secure Internet servers/million pop...59.54.3 3. 05 Accessibility of digital content*..
*92.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...140.0.65 4. 02 Fixed broadband Internet tariffs, PPP $/month..
14.15.77 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*121.3.0 5. 02 Quality of math & science education*..
*136.2.6 5. 03 Secondary education gross enrollment rate%..%20.105.8 5. 04 Adult literacy rate%..%85.90.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...43.125.0 6. 02 Individuals using Internet%..%65.49.8 6. 03 Households w/personal computer%..
%65.49.9 6. 04 Households w/Internet access%..%62.45.4 6. 05 Fixed broadband Internet subs.//100 pop...
65.9.2 6. 06 Mobile broadband subscriptions/100 pop...49.33.7 6. 07 Use of virtual social networks*..
*37.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*51.5.0 7. 02 Capacity for innovation*..
*36.4.0 7. 03 PCT patents, applications/million pop...53.3.0 7. 04 Business-to-business Internet use*..*54.5.1
7. 05 Business-to-consumer Internet use*..*30.5.2 7. 06 Extent of staff training*..*44.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*93.3.7 8. 02 Government Online service Index, 0†1 (best...
32.0.67 8. 03 Gov†t success in ICT promotion*..*88.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
118 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...65.67 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...n/a n/a 3. 03 Int†l Internet bandwidth, kb/s per user...
48.39.9 3. 04 Secure Internet servers/million pop...50.111.6 3. 05 Accessibility of digital content*..
*48.5.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...111.0.38 4. 02 Fixed broadband Internet tariffs, PPP $/month 122.66.38
4. 03 Internet & telephony competition, 0†2 (best...134.0.88 5th pillar: Skills 5. 01 Quality of educational system*..
*32.4.4 5. 02 Quality of math & science education*..*29.4.8 5. 03 Secondary education gross enrollment rate%..
%15.107.8 5. 04 Adult literacy rate%..%62.95.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...62.114.0 6. 02 Individuals using Internet%..%48.60.3 6. 03 Households w/personal computer%..
%14.86.9 6. 04 Households w/Internet access%..%30.72.4 6. 05 Fixed broadband Internet subs.//100 pop...
81.4.8 6. 06 Mobile broadband subscriptions/100 pop...94.7.6 6. 07 Use of virtual social networks*..
*19.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*63.4.8 7. 02 Capacity for innovation*..
*67.3.5 7. 03 PCT patents, applications/million pop...58.1.8 7. 04 Business-to-business Internet use*..*59.5.0
7. 05 Business-to-consumer Internet use*..*75.4.5 7. 06 Extent of staff training*..*26.4.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*17.5.0 8. 02 Government Online service Index, 0†1 (best...
44.0.59 8. 03 Gov†t success in ICT promotion*..*21.5.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 119 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...61.64 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...28.100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
25.85.4 3. 04 Secure Internet servers/million pop...43.164.1 3. 05 Accessibility of digital content*..
*65.5.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...142.0.82 4. 02 Fixed broadband Internet tariffs, PPP $/month..
33.22.36 4. 03 Internet & telephony competition, 0†2 (best...104.1.33 5th pillar: Skills 5. 01 Quality of educational system*..
*90.3.4 5. 02 Quality of math & science education*..*59.4.3 5. 03 Secondary education gross enrollment rate%..
%61.93.2 5. 04 Adult literacy rate%..%46.98.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...21.148.1 6. 02 Individuals using Internet%..%55.55.1 6. 03 Households w/personal computer%..
%61.52.0 6. 04 Households w/Internet access%..%55.51.0 6. 05 Fixed broadband Internet subs.//100 pop...
38.17.9 6. 06 Mobile broadband subscriptions/100 pop...34.48.5 6. 07 Use of virtual social networks*..
*79.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*113.4.2 7. 02 Capacity for innovation*..
*103.3.2 7. 03 PCT patents, applications/million pop...48.4.8 7. 04 Business-to-business Internet use*..*78.4.8
7. 05 Business-to-consumer Internet use*..*64.4.7 7. 06 Extent of staff training*..*127.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*110.3.4 8. 02 Government Online service Index, 0†1 (best...
70.0.49 8. 03 Gov†t success in ICT promotion*..*111.3.8 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
120 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...137.61.1 3. 03 Int†l Internet bandwidth, kb/s per user...
139.1.8 3. 04 Secure Internet servers/million pop...139.0.6 3. 05 Accessibility of digital content*..
*147.2.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...100.0.34 4. 02 Fixed broadband Internet tariffs, PPP $/month 131.101.12
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*127.2.7 5. 02 Quality of math & science education*..*97.3.7
5. 03 Secondary education gross enrollment rate,%145.25.9 5. 04 Adult literacy rate%..%147.28.7 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...129.60.6 6. 02 Individuals using Internet%..%138.3.7 6. 03 Households w/personal computer%..
%135.3.4 6. 04 Households w/Internet access%..%134.2.8 6. 05 Fixed broadband Internet subs.//100 pop...
129.0.1 6. 06 Mobile broadband subscriptions/100 pop...139.0.0 6. 07 Use of virtual social networks*..
*142.4.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*140.3.7 7. 02 Capacity for innovation*..
*119.3.0 7. 03 PCT patents, applications/million pop...110.0.0 7. 04 Business-to-business Internet use*..*117.4.3
7. 05 Business-to-consumer Internet use*..*129.3.4 7. 06 Extent of staff training*..*142.2.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*68.4.0 8. 02 Government Online service Index, 0†1 (best...
120.0.29 8. 03 Gov†t success in ICT promotion*..*80.4.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 121 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...122.83.0 3. 03 Int†l Internet bandwidth, kb/s per user...
123.3.5 3. 04 Secure Internet servers/million pop...144.0.3 3. 05 Accessibility of digital content*..
*146.2.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...n/a n/a
4. 02 Fixed broadband Internet tariffs, PPP $/month. n/a n/a 4. 03 Internet & telephony competition, 0†2 (best...
96.1.54 5th pillar: Skills 5. 01 Quality of educational system*..*143.2.3 5. 02 Quality of math & science education*..
*103.3.4 5. 03 Secondary education gross enrollment rate,%142.28.5 5. 04 Adult literacy rate%..%123.67.2 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...146.22.8 6. 02 Individuals using Internet%..%146.1.2 6. 03 Households w/personal computer%..
%147.0.1 6. 04 Households w/Internet access%..%146.0.1 6. 05 Fixed broadband Internet subs.//100 pop...
145.0.0 6. 06 Mobile broadband subscriptions/100 pop...138.0.0 6. 07 Use of virtual social networks*..
*148.3.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*143.3.5 7. 02 Capacity for innovation*..
*148.2.2 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*146.3.0
7. 05 Business-to-consumer Internet use*..*147.2.6 7. 06 Extent of staff training*..*147.2.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*127.3.0 8. 02 Government Online service Index, 0†1 (best...
137.0.15 8. 03 Gov†t success in ICT promotion*..*145.3.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
122 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
89.13.6 3. 04 Secure Internet servers/million pop...113.3.0 3. 05 Accessibility of digital content*..
*86.4.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...55.0.19 4. 02 Fixed broadband Internet tariffs, PPP $/month 116.61.54
4. 03 Internet & telephony competition, 0†2 (best...65.1.88 5th pillar: Skills 5. 01 Quality of educational system*..
*76.3.6 5. 02 Quality of math & science education*..*102.3.5 5. 03 Secondary education gross enrollment rate,%128.45.0
5. 04 Adult literacy rate%..%112.73.9 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
36.128.5 6. 02 Individuals using Internet%..%131.4.9 6. 03 Households w/personal computer%..%128.5.4 6. 04 Households w/Internet access%..
%127.3.9 6. 05 Fixed broadband Internet subs.//100 pop...121.0.2 6. 06 Mobile broadband subscriptions/100 pop...
97.6.7 6. 07 Use of virtual social networks*..*108.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*82.4.6 7. 02 Capacity for innovation*..*71.3.5 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*82.4.7 7. 05 Business-to-consumer Internet use*..*107.3.9 7. 06 Extent of staff training*..
*66.4.0 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*85.3.8
8. 02 Government Online service Index, 0†1 (best...131.0.19 8. 03 Gov†t success in ICT promotion*..
*52.4.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 123 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...93.83 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...138.58.0 3. 03 Int†l Internet bandwidth, kb/s per user...
146.0.3 3. 04 Secure Internet servers/million pop...130.1.2 3. 05 Accessibility of digital content*..
*129.3.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...103.0.35 4. 02 Fixed broadband Internet tariffs, PPP $/month 135.112.53
4. 03 Internet & telephony competition, 0†2 (best...116.1.22 5th pillar: Skills 5. 01 Quality of educational system*..
*60.3.9 5. 02 Quality of math & science education*..*72.4.1 5. 03 Secondary education gross enrollment rate,%121.50.4
5. 04 Adult literacy rate%..%118.71.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
130.60.4 6. 02 Individuals using Internet%..%129.5.7 6. 03 Households w/personal computer%..%119.8.3 6. 04 Households w/Internet access%..
%129.3.5 6. 05 Fixed broadband Internet subs.//100 pop...113.0.6 6. 06 Mobile broadband subscriptions/100 pop...
137.0.0 6. 07 Use of virtual social networks*..*121.4.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*94.4.4 7. 02 Capacity for innovation*..*105.3.1 7. 03 PCT patents, applications/million pop...104.0.1
7. 04 Business-to-business Internet use*..*68.4.8 7. 05 Business-to-consumer Internet use*..*104.4.0 7. 06 Extent of staff training*..
*78.3.9 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*82.3.8
8. 02 Government Online service Index, 0†1 (best...116.0.30 8. 03 Gov†t success in ICT promotion*..
*72.4.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
124 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...14.27 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
18.100.5 3. 04 Secure Internet servers/million pop...15.1,233. 4 3. 05 Accessibility of digital content*..
*21.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...93.0.33 4. 02 Fixed broadband Internet tariffs, PPP $/month..
75.32.57 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*10.5.2 5. 02 Quality of math & science education*..
*17.5.2 5. 03 Secondary education gross enrollment rate%..%26.102.3 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...116.80.1 6. 02 Individuals using Internet%..%12.86.8 6. 03 Households w/personal computer%..
%15.86.6 6. 04 Households w/Internet access%..%16.83.0 6. 05 Fixed broadband Internet subs.//100 pop...
11.32.5 6. 06 Mobile broadband subscriptions/100 pop...39.42.1 6. 07 Use of virtual social networks*..
*13.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*34.5.4 7. 02 Capacity for innovation*..
*27.4.3 7. 03 PCT patents, applications/million pop...19.82.4 7. 04 Business-to-business Internet use*..*31.5.5
7. 05 Business-to-consumer Internet use*..*21.5.5 7. 06 Extent of staff training*..*34.4.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*56.4.2 8. 02 Government Online service Index, 0†1 (best...
6...0. 89 8. 03 Gov†t success in ICT promotion*..*51.4.6 9th pillar: Economic impacts
The Global Information technology Report 2014 125 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...97.96.0 3. 03 Int†l Internet bandwidth, kb/s per user...
106.6.3 3. 04 Secure Internet servers/million pop...75.24.3 3. 05 Accessibility of digital content*..
*104.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...122.0.46 4. 02 Fixed broadband Internet tariffs, PPP $/month..
98.40.41 4. 03 Internet & telephony competition, 0†2 (best...77.1.83 5th pillar: Skills 5. 01 Quality of educational system*..
*61.3.9 5. 02 Quality of math & science education*..*100.3.5 5. 03 Secondary education gross enrollment rate%..
%64.92.7 5. 04 Adult literacy rate%..%105.84.9 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...108.86.0 6. 02 Individuals using Internet%..%89.34.7 6. 03 Households w/personal computer%..
%87.26.5 6. 04 Households w/Internet access%..%97.13.7 6. 05 Fixed broadband Internet subs.//100 pop...
86.4.0 6. 06 Mobile broadband subscriptions/100 pop...66.23.0 6. 07 Use of virtual social networks*..
*97.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*85.4.5 7. 02 Capacity for innovation*..
*126.2.9 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*100.4.5
7. 05 Business-to-consumer Internet use*..*110.3.8 7. 06 Extent of staff training*..*118.3.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*32.4.6 8. 02 Government Online service Index, 0†1 (best...
85.0.44 8. 03 Gov†t success in ICT promotion*..*38.4.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
126 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...140.36.1 3. 03 Int†l Internet bandwidth, kb/s per user...
144.0.5 3. 04 Secure Internet servers/million pop...n/a n/a 3. 05 Accessibility of digital content*..
*148.2.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...143.0.88 4. 02 Fixed broadband Internet tariffs, PPP $/month..
52.26.28 4. 03 Internet & telephony competition, 0†2 (best...98.1.50 5th pillar: Skills 5. 01 Quality of educational system*..
*131.2.7 5. 02 Quality of math & science education*..*127.2.9 5. 03 Secondary education gross enrollment rate,%147.22.8
5. 04 Adult literacy rate%..%145.35.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
144.35.4 6. 02 Individuals using Internet%..%141.2.1 6. 03 Households w/personal computer%..%139.2.5 6. 04 Households w/Internet access%..
%140.2.3 6. 05 Fixed broadband Internet subs.//100 pop...123.0.2 6. 06 Mobile broadband subscriptions/100 pop...
140.0.0 6. 07 Use of virtual social networks*..*146.3.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*144.3.4 7. 02 Capacity for innovation*..*139.2.6 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*148.2.9 7. 05 Business-to-consumer Internet use*..*148.2.5 7. 06 Extent of staff training*..
*145.2.8 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*121.3.2
8. 02 Government Online service Index, 0†1 (best...141.0.10 8. 03 Gov†t success in ICT promotion*..
*130.3.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 127 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...53.61 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
46.40.5 3. 04 Secure Internet servers/million pop...54.82.2 3. 05 Accessibility of digital content*..
*46.5.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...98.0.34 4. 02 Fixed broadband Internet tariffs, PPP $/month..
90.37.16 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*74.3.6 5. 02 Quality of math & science education*..
*107.3.4 5. 03 Secondary education gross enrollment rate%..%74.89.9 5. 04 Adult literacy rate%..%43.98.6 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...29.138.2 6. 02 Individuals using Internet%..%45.61.4 6. 03 Households w/personal computer%..
%60.53.7 6. 04 Households w/Internet access%..%63.45.3 6. 05 Fixed broadband Internet subs.//100 pop...
52.12.4 6. 06 Mobile broadband subscriptions/100 pop...58.28.0 6. 07 Use of virtual social networks*..
*26.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*45.5.1 7. 02 Capacity for innovation*..
*63.3.5 7. 03 PCT patents, applications/million pop...41.6.3 7. 04 Business-to-business Internet use*..*35.5.5
7. 05 Business-to-consumer Internet use*..*35.5.1 7. 06 Extent of staff training*..*46.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*40.4.4 8. 02 Government Online service Index, 0†1 (best...
24.0.75 8. 03 Gov†t success in ICT promotion*..*54.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
128 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...80.77 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...54.99.5 3. 03 Int†l Internet bandwidth, kb/s per user...
125.3.3 3. 04 Secure Internet servers/million pop...111.3.1 3. 05 Accessibility of digital content*..
*67.5.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...13.0.07 4. 02 Fixed broadband Internet tariffs, PPP $/month..
84.35.44 4. 03 Internet & telephony competition, 0†2 (best...110.1.29 5th pillar: Skills 5. 01 Quality of educational system*..
*54.4.0 5. 02 Quality of math & science education*..*48.4.4 5. 03 Secondary education gross enrollment rate%..
%82.86.6 5. 04 Adult literacy rate%..%66.94.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...115.80.8 6. 02 Individuals using Internet%..%78.42.3 6. 03 Households w/personal computer%..
%70.40.9 6. 04 Households w/Internet access%..%72.37.4 6. 05 Fixed broadband Internet subs.//100 pop...
51.12.7 6. 06 Mobile broadband subscriptions/100 pop...76.16.9 6. 07 Use of virtual social networks*..
*126.4.7 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*71.4.7 7. 02 Capacity for innovation*..
*30.4.2 7. 03 PCT patents, applications/million pop...32.11.5 7. 04 Business-to-business Internet use*..*66.4.9
7. 05 Business-to-consumer Internet use*..*41.5.1 7. 06 Extent of staff training*..*48.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*24.4.8 8. 02 Government Online service Index, 0†1 (best...
59.0.53 8. 03 Gov†t success in ICT promotion*..*37.4.8 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 129 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...40.53 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
68.20.4 3. 04 Secure Internet servers/million pop...70.28.4 3. 05 Accessibility of digital content*..
*91.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...79.0.27 4. 02 Fixed broadband Internet tariffs, PPP $/month..
45.25.85 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*86.3.5 5. 02 Quality of math & science education*..
*108.3.4 5. 03 Secondary education gross enrollment rate%..%63.92.8 5. 04 Adult literacy rate%..%71.93.6 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...86.102.9 6. 02 Individuals using Internet%..%66.49.0 6. 03 Households w/personal computer%..
%74.38.4 6. 04 Households w/Internet access%..%75.32.1 6. 05 Fixed broadband Internet subs.//100 pop...
69.8.2 6. 06 Mobile broadband subscriptions/100 pop...103.5.0 6. 07 Use of virtual social networks*..
*80.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*97.4.4 7. 02 Capacity for innovation*..
*83.3.4 7. 03 PCT patents, applications/million pop...68.1.0 7. 04 Business-to-business Internet use*..*62.4.9
7. 05 Business-to-consumer Internet use*..*56.4.8 7. 06 Extent of staff training*..*93.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*57.4.2 8. 02 Government Online service Index, 0†1 (best...
16.0.84 8. 03 Gov†t success in ICT promotion*..*74.4.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
130 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...50.58 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...134.69.5 3. 03 Int†l Internet bandwidth, kb/s per user...
59.29.9 3. 04 Secure Internet servers/million pop...52.94.9 3. 05 Accessibility of digital content*..
*47.5.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...22.0.09 4. 02 Fixed broadband Internet tariffs, PPP $/month..
31.21.59 4. 03 Internet & telephony competition, 0†2 (best...94.1.63 5th pillar: Skills 5. 01 Quality of educational system*..
*20.4.9 5. 02 Quality of math & science education*..*45.4.5 5. 03 Secondary education gross enrollment rate%..
%32.101.1 5. 04 Adult literacy rate%..%58.96.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...64.111.9 6. 02 Individuals using Internet%..%68.47.5 6. 03 Households w/personal computer%..
%66.49.0 6. 04 Households w/Internet access%..%59.47.3 6. 05 Fixed broadband Internet subs.//100 pop...
64.9.3 6. 06 Mobile broadband subscriptions/100 pop...70.20.3 6. 07 Use of virtual social networks*..
*36.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*43.5.2 7. 02 Capacity for innovation*..
*37.4.0 7. 03 PCT patents, applications/million pop...63.1.2 7. 04 Business-to-business Internet use*..*43.5.3
7. 05 Business-to-consumer Internet use*..*47.4.9 7. 06 Extent of staff training*..*23.4.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*71.3.9 8. 02 Government Online service Index, 0†1 (best...
67.0.50 8. 03 Gov†t success in ICT promotion*..*65.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 131 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...89.81 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...108.94.5 3. 03 Int†l Internet bandwidth, kb/s per user...
78.17.0 3. 04 Secure Internet servers/million pop...125.1.5 3. 05 Accessibility of digital content*..
*131.3.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...87.0.30 4. 02 Fixed broadband Internet tariffs, PPP $/month 117.63.17
4. 03 Internet & telephony competition, 0†2 (best...116.1.22 5th pillar: Skills 5. 01 Quality of educational system*..
*83.3.5 5. 02 Quality of math & science education*..*60.4.3 5. 03 Secondary education gross enrollment rate,%141.28.9
5. 04 Adult literacy rate%..%134.56.9 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
103.91.2 6. 02 Individuals using Internet%..%139.2.4 6. 03 Households w/personal computer%..%141.2.3 6. 04 Households w/Internet access%..
%144.1.3 6. 05 Fixed broadband Internet subs.//100 pop...133.0.1 6. 06 Mobile broadband subscriptions/100 pop...
140.0.0 6. 07 Use of virtual social networks*..*78.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*67.4.7 7. 02 Capacity for innovation*..*127.2.9 7. 03 PCT patents, applications/million pop...105.0.1
7. 04 Business-to-business Internet use*..*120.4.2 7. 05 Business-to-consumer Internet use*..*118.3.6 7. 06 Extent of staff training*..
*40.4.3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*81.3.8
8. 02 Government Online service Index, 0†1 (best...106.0.33 8. 03 Gov†t success in ICT promotion*..
*98.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
132 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...40.53 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
60.28.7 3. 04 Secure Internet servers/million pop...36.245.1 3. 05 Accessibility of digital content*..
*42.5.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...71.0.24 4. 02 Fixed broadband Internet tariffs, PPP $/month..
51.26.19 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*97.3.4 5. 02 Quality of math & science education*..
*22.5.0 5. 03 Secondary education gross enrollment rate%..%42.98.0 5. 04 Adult literacy rate%..%40.98.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...60.115.4 6. 02 Individuals using Internet%..%44.63.0 6. 03 Households w/personal computer%..
%42.68.0 6. 04 Households w/Internet access%..%39.66.0 6. 05 Fixed broadband Internet subs.//100 pop...
36.20.7 6. 06 Mobile broadband subscriptions/100 pop...24.53.9 6. 07 Use of virtual social networks*..
*71.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*76.4.7 7. 02 Capacity for innovation*..
*110.3.1 7. 03 PCT patents, applications/million pop...34.9.8 7. 04 Business-to-business Internet use*..*49.5.2
7. 05 Business-to-consumer Internet use*..*65.4.6 7. 06 Extent of staff training*..*121.3.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*98.3.6 8. 02 Government Online service Index, 0†1 (best...
40.0.64 8. 03 Gov†t success in ICT promotion*..*110.3.8 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 133 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...34.48 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...32.100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
32.69.7 3. 04 Secure Internet servers/million pop...20.786.5 3. 05 Accessibility of digital content*..
*40.5.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...29.0.12 4. 02 Fixed broadband Internet tariffs, PPP $/month..
38.23.92 4. 03 Internet & telephony competition, 0†2 (best...109.1.31 5th pillar: Skills 5. 01 Quality of educational system*..
*9...5. 3 5. 02 Quality of math & science education*..*7...5. 6 5. 03 Secondary education gross enrollment rate%..
%62.92.8 5. 04 Adult literacy rate%..%42.98.7 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...91.98.4 6. 02 Individuals using Internet%..%47.61.0 6. 03 Households w/personal computer%..
%39.70.0 6. 04 Households w/Internet access%..%45.62.0 6. 05 Fixed broadband Internet subs.//100 pop...
37.19.2 6. 06 Mobile broadband subscriptions/100 pop...47.34.1 6. 07 Use of virtual social networks*..
*41.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*38.5.2 7. 02 Capacity for innovation*..
*93.3.3 7. 03 PCT patents, applications/million pop...47.5.2 7. 04 Business-to-business Internet use*..*76.4.8
7. 05 Business-to-consumer Internet use*..*53.4.9 7. 06 Extent of staff training*..*67.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*77.3.9 8. 02 Government Online service Index, 0†1 (best...
51.0.56 8. 03 Gov†t success in ICT promotion*..*96.4.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
134 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...20.35 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...43.99.8 3. 03 Int†l Internet bandwidth, kb/s per user...
19.100.1 3. 04 Secure Internet servers/million pop...27.518.6 3. 05 Accessibility of digital content*..
*19.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...118.0.43 4. 02 Fixed broadband Internet tariffs, PPP $/month..
63.29.20 4. 03 Internet & telephony competition, 0†2 (best...69.1.87 5th pillar: Skills 5. 01 Quality of educational system*..
*67.3.7 5. 02 Quality of math & science education*..*83.4.0 5. 03 Secondary education gross enrollment rate%..
%52.96.0 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...41.126.9 6. 02 Individuals using Internet%..%28.75.0 6. 03 Households w/personal computer%..
%34.75.0 6. 04 Households w/Internet access%..%33.71.0 6. 05 Fixed broadband Internet subs.//100 pop...
40.16.4 6. 06 Mobile broadband subscriptions/100 pop...29.52.1 6. 07 Use of virtual social networks*..
*43.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*54.4.9 7. 02 Capacity for innovation*..
*26.4.3 7. 03 PCT patents, applications/million pop...29.15.3 7. 04 Business-to-business Internet use*..*24.5.7
7. 05 Business-to-consumer Internet use*..*9...5. 8 7. 06 Extent of staff training*..*68.4.0
8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*113.3.3 8. 02 Government Online service Index, 0†1 (best...
53.0.54 8. 03 Gov†t success in ICT promotion*..*116.3.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 135 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...7...24 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...88.97.0 3. 03 Int†l Internet bandwidth, kb/s per user...
12.174.8 3. 04 Secure Internet servers/million pop...5..2, 214.3 3. 05 Accessibility of digital content*..
*29.6.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...11.0.06 4. 02 Fixed broadband Internet tariffs, PPP $/month..
73.32.19 4. 03 Internet & telephony competition, 0†2 (best...65.1.88 5th pillar: Skills 5. 01 Quality of educational system*..
*21.4.9 5. 02 Quality of math & science education*..*42.4.5 5. 03 Secondary education gross enrollment rate%..
%5...119.5 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...56.117.6 6. 02 Individuals using Internet%..%4...93.0 6. 03 Households w/personal computer%..
%4...92.2 6. 04 Households w/Internet access%..%6...92.0 6. 05 Fixed broadband Internet subs./
/100 pop...3...38.8 6. 06 Mobile broadband subscriptions/100 pop...6...97.2 6. 07 Use of virtual social networks*..
*46.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*20.5.7 7. 02 Capacity for innovation*..
*13.5.0 7. 03 PCT patents, applications/million pop...7...208.5 7. 04 Business-to-business Internet use*..
*21.5.7 7. 05 Business-to-consumer Internet use*..*18.5.6 7. 06 Extent of staff training*..*14.5.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*48.4.3 8. 02 Government Online service Index, 0†1 (best...
13.0.86 8. 03 Gov†t success in ICT promotion*..*50.4.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
136 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...78.76 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...107.94.6 3. 03 Int†l Internet bandwidth, kb/s per user...
84.14.9 3. 04 Secure Internet servers/million pop...78.23.0 3. 05 Accessibility of digital content*..
*60.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...116.0.42 4. 02 Fixed broadband Internet tariffs, PPP $/month..
96.39.51 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*140.2.5 5. 02 Quality of math & science education*..
*146.2.2 5. 03 Secondary education gross enrollment rate%..%98.75.1 5. 04 Adult literacy rate%..%87.90.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...106.86.9 6. 02 Individuals using Internet%..%74.45.0 6. 03 Households w/personal computer%..
%96.19.8 6. 04 Households w/Internet access%..%99.13.7 6. 05 Fixed broadband Internet subs.//100 pop...
83.4.3 6. 06 Mobile broadband subscriptions/100 pop...78.15.6 6. 07 Use of virtual social networks*..
*51.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*56.4.9 7. 02 Capacity for innovation*..
*98.3.2 7. 03 PCT patents, applications/million pop...83.0.4 7. 04 Business-to-business Internet use*..*53.5.1
7. 05 Business-to-consumer Internet use*..*61.4.7 7. 06 Extent of staff training*..*76.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*104.3.5 8. 02 Government Online service Index, 0†1 (best...
55.0.54 8. 03 Gov†t success in ICT promotion*..*85.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 137 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...67.68 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...96.96.0 3. 03 Int†l Internet bandwidth, kb/s per user...
55.31.8 3. 04 Secure Internet servers/million pop...79.22.1 3. 05 Accessibility of digital content*..
*97.4.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...104.0.36 4. 02 Fixed broadband Internet tariffs, PPP $/month..
99.41.06 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*62.3.8 5. 02 Quality of math & science education*..
*84.4.0 5. 03 Secondary education gross enrollment rate%..%80.86.8 5. 04 Adult literacy rate%..%82.91.6 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...81.106.2 6. 02 Individuals using Internet%..%88.35.1 6. 03 Households w/personal computer%..
%82.32.2 6. 04 Households w/Internet access%..%84.22.5 6. 05 Fixed broadband Internet subs.//100 pop...
77.5.3 6. 06 Mobile broadband subscriptions/100 pop...68.21.6 6. 07 Use of virtual social networks*..
*103.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*87.4.5 7. 02 Capacity for innovation*..
*53.3.7 7. 03 PCT patents, applications/million pop...81.0.4 7. 04 Business-to-business Internet use*..*95.4.6
7. 05 Business-to-consumer Internet use*..*57.4.8 7. 06 Extent of staff training*..*61.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*58.4.2 8. 02 Government Online service Index, 0†1 (best...
80.0.46 8. 03 Gov†t success in ICT promotion*..*62.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
138 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...53.61 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...43.99.8 3. 03 Int†l Internet bandwidth, kb/s per user...
117.4.2 3. 04 Secure Internet servers/million pop...107.3.7 3. 05 Accessibility of digital content*..
*89.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...8...0. 05
4. 02 Fixed broadband Internet tariffs, PPP $/month..11.15.09 4. 03 Internet & telephony competition, 0†2 (best...
103.1.36 5th pillar: Skills 5. 01 Quality of educational system*..*145.2.2 5. 02 Quality of math & science education*..
*145.2.2 5. 03 Secondary education gross enrollment rate%..%97.75.9 5. 04 Adult literacy rate%..%113.73.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...51.119.9 6. 02 Individuals using Internet%..%75.44.1 6. 03 Households w/personal computer%..
%76.37.9 6. 04 Households w/Internet access%..%74.32.3 6. 05 Fixed broadband Internet subs.//100 pop...
91.2.8 6. 06 Mobile broadband subscriptions/100 pop...59.27.9 6. 07 Use of virtual social networks*..
*50.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*110.4.2 7. 02 Capacity for innovation*..
*111.3.1 7. 03 PCT patents, applications/million pop...75.0.6 7. 04 Business-to-business Internet use*..*81.4.7
7. 05 Business-to-consumer Internet use*..*70.4.5 7. 06 Extent of staff training*..*138.3.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*141.2.6 8. 02 Government Online service Index, 0†1 (best...
42.0.60 8. 03 Gov†t success in ICT promotion*..*131.3.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 139 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...87.80 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...101.95.0 3. 03 Int†l Internet bandwidth, kb/s per user...
101.6.9 3. 04 Secure Internet servers/million pop...81.20.6 3. 05 Accessibility of digital content*..
*85.4.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...75.0.26 4. 02 Fixed broadband Internet tariffs, PPP $/month..
60.29.02 4. 03 Internet & telephony competition, 0†2 (best...69.1.87 5th pillar: Skills 5. 01 Quality of educational system*..
*109.3.1 5. 02 Quality of math & science education*..*129.2.8 5. 03 Secondary education gross enrollment rate,%107.67.2
5. 04 Adult literacy rate%..%106.84.5 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
31.137.3 6. 02 Individuals using Internet%..%99.25.5 6. 03 Households w/personal computer%..%102.15.3 6. 04 Households w/Internet access%..
%95.15.0 6. 05 Fixed broadband Internet subs.//100 pop...87.3.8 6. 06 Mobile broadband subscriptions/100 pop...
100.5.5 6. 07 Use of virtual social networks*..*111.5.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*102.4.3 7. 02 Capacity for innovation*..*56.3.7 7. 03 PCT patents, applications/million pop...119.0.0
7. 04 Business-to-business Internet use*..*105.4.4 7. 05 Business-to-consumer Internet use*..*73.4.5 7. 06 Extent of staff training*..
*81.3.9 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*119.3.2
8. 02 Government Online service Index, 0†1 (best...32.0.67 8. 03 Gov†t success in ICT promotion*..
*112.3.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
140 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...34.48 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...28.100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
62.26.5 3. 04 Secure Internet servers/million pop...23.660.0 3. 05 Accessibility of digital content*..
*6...6. 4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
99.0.34 4. 02 Fixed broadband Internet tariffs, PPP $/month..61.29.07 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*47.4.1 5. 02 Quality of math & science education*..
*26.4.9 5. 03 Secondary education gross enrollment rate%..%13.109.1 5. 04 Adult literacy rate%..%1...99.8
6. 01 Mobile phone subscriptions/100 pop...12.160.4 6. 02 Individuals using Internet%..%25.79.0 6. 03 Households w/personal computer%..
%31.76.0 6. 04 Households w/Internet access%..%26.75.0 6. 05 Fixed broadband Internet subs.//100 pop...
20.25.5 6. 06 Mobile broadband subscriptions/100 pop...13.76.9 6. 07 Use of virtual social networks*..
*8...6. 4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*36.5.4 7. 02 Capacity for innovation*..
*28.4.3 7. 03 PCT patents, applications/million pop...26.31.1 7. 04 Business-to-business Internet use*..*6...6. 0
7. 05 Business-to-consumer Internet use*..*11.5.8 7. 06 Extent of staff training*..*37.4.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*18.5.0 8. 02 Government Online service Index, 0†1 (best...
18.0.82 8. 03 Gov†t success in ICT promotion*..*13.5.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 141 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...130.73.0 3. 03 Int†l Internet bandwidth, kb/s per user...
115.4.8 3. 04 Secure Internet servers/million pop...145.0.2 3. 05 Accessibility of digital content*..
*142.3.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...28.0.11 4. 02 Fixed broadband Internet tariffs, PPP $/month 114.55.23
4. 03 Internet & telephony competition, 0†2 (best...144.0.00 5th pillar: Skills 5. 01 Quality of educational system*..
*108.3.1 5. 02 Quality of math & science education*..*109.3.4 5. 03 Secondary education gross enrollment rate,%134.37.2
5. 04 Adult literacy rate%..%144.39.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
147.22.4 6. 02 Individuals using Internet%..%144.1.5 6. 03 Households w/personal computer%..%143.2.1 6. 04 Households w/Internet access%..
%141.1.9 6. 05 Fixed broadband Internet subs.//100 pop...143.0.0 6. 06 Mobile broadband subscriptions/100 pop...
107.4.4 6. 07 Use of virtual social networks*..*144.3.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*131.3.8 7. 02 Capacity for innovation*..*141.2.6 7. 03 PCT patents, applications/million pop...121.0.0
7. 04 Business-to-business Internet use*..*141.3.5 7. 05 Business-to-consumer Internet use*..*146.2.7 7. 06 Extent of staff training*..
*123.3.3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*72.3.9
8. 02 Government Online service Index, 0†1 (best...76.0.47 8. 03 Gov†t success in ICT promotion*..
*97.4.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
142 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...10.25 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...53.99.5 3. 03 Int†l Internet bandwidth, kb/s per user...
14.159.3 3. 04 Secure Internet servers/million pop...10.1,612. 6 3. 05 Accessibility of digital content*..
*2...6. 5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
14.0.07 4. 02 Fixed broadband Internet tariffs, PPP $/month..58.28.94 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*2...5. 9 5. 02 Quality of math & science education*..
*2...6. 3 5. 03 Secondary education gross enrollment rate%..%16.107.5 5. 04 Adult literacy rate%..
6. 01 Mobile phone subscriptions/100 pop...8...172.3 6. 02 Individuals using Internet%..%7...91.0
6. 03 Households w/personal computer%..%10.88.0 6. 04 Households w/Internet access%..%13.87.0 6. 05 Fixed broadband Internet subs./
/100 pop...16.30.3 6. 06 Mobile broadband subscriptions/100 pop...3...106.6 6. 07 Use of virtual social networks*..
*6...6. 4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*7...6. 0
7. 02 Capacity for innovation*..*2...5. 7 7. 03 PCT patents, applications/million pop...
4...283.6 7. 04 Business-to-business Internet use*..*1...6. 2 7. 05 Business-to-consumer Internet use*..
*16.5.6 7. 06 Extent of staff training*..*2...5. 5 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..
*16.5.1 8. 02 Government Online service Index, 0†1 (best...7...0. 88 8. 03 Gov†t success in ICT promotion*..
The Global Information technology Report 2014 143 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...22.37 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
26.83.9 3. 04 Secure Internet servers/million pop...28.409.0 3. 05 Accessibility of digital content*..
*41.5.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...124.0.47 4. 02 Fixed broadband Internet tariffs, PPP $/month..
41.24.50 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*43.4.2 5. 02 Quality of math & science education*..
*15.5.2 5. 03 Secondary education gross enrollment rate%..%11.109.9 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...95.97.4 6. 02 Individuals using Internet%..%17.83.0 6. 03 Households w/personal computer%..
%22.81.0 6. 04 Households w/Internet access%..%19.80.0 6. 05 Fixed broadband Internet subs.//100 pop...
4...37.5 6. 06 Mobile broadband subscriptions/100 pop...31.51.8 6. 07 Use of virtual social networks*..
*54.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*32.5.5 7. 02 Capacity for innovation*..
*16.4.8 7. 03 PCT patents, applications/million pop...15.111.3 7. 04 Business-to-business Internet use*..*37.5.5
7. 05 Business-to-consumer Internet use*..*27.5.3 7. 06 Extent of staff training*..*42.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*59.4.2 8. 02 Government Online service Index, 0†1 (best...
8...0. 88 8. 03 Gov†t success in ICT promotion*..*63.4.5 9th pillar: Economic impacts
144 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...128.79.0 3. 03 Int†l Internet bandwidth, kb/s per user...
108.5.5 3. 04 Secure Internet servers/million pop...90.11.0 3. 05 Accessibility of digital content*..
*143.3.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...121.0.46 4. 02 Fixed broadband Internet tariffs, PPP $/month 100.41.15
4. 03 Internet & telephony competition, 0†2 (best...115.1.23 5th pillar: Skills 5. 01 Quality of educational system*..
*126.2.7 5. 02 Quality of math & science education*..*121.3.0 5. 03 Secondary education gross enrollment rate,%117.53.9
5. 04 Adult literacy rate%..%93.89.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
6...179.5 6. 02 Individuals using Internet%..%126.8.6 6. 03 Households w/personal computer%..%114.10.1 6. 04 Households w/Internet access%..
%113.7.9 6. 05 Fixed broadband Internet subs.//100 pop...118.0.3 6. 06 Mobile broadband subscriptions/100 pop...
140.0.0 6. 07 Use of virtual social networks*..*133.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*96.4.4 7. 02 Capacity for innovation*..*144.2.5 7. 03 PCT patents, applications/million pop...86.0.3
7. 04 Business-to-business Internet use*..*122.4.1 7. 05 Business-to-consumer Internet use*..*135.3.1 7. 06 Extent of staff training*..
*113.3.6 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*94.3.7
8. 02 Government Online service Index, 0†1 (best...131.0.19 8. 03 Gov†t success in ICT promotion*..
*95.4.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 145 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...119.85.0 3. 03 Int†l Internet bandwidth, kb/s per user...
133.2.1 3. 04 Secure Internet servers/million pop...106.3.9 3. 05 Accessibility of digital content*..
*81.4.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...102.0.35 4. 02 Fixed broadband Internet tariffs, PPP $/month 144.986.58
4. 03 Internet & telephony competition, 0†2 (best...122.1.13 5th pillar: Skills 5. 01 Quality of educational system*..
*29.4.5 5. 02 Quality of math & science education*..*94.3.8 5. 03 Secondary education gross enrollment rate,%115.57.5
5. 04 Adult literacy rate%..%138.51.1 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
109.85.2 6. 02 Individuals using Internet%..%120.12.4 6. 03 Households w/personal computer%..%122.7.4 6. 04 Households w/Internet access%..
%116.6.7 6. 05 Fixed broadband Internet subs.//100 pop...136.0.0 6. 06 Mobile broadband subscriptions/100 pop...
121.1.4 6. 07 Use of virtual social networks*..*101.5.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*60.4.9 7. 02 Capacity for innovation*..*65.3.5 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*79.4.8 7. 05 Business-to-consumer Internet use*..*84.4.3 7. 06 Extent of staff training*..
*29.4.5 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*23.4.8
8. 02 Government Online service Index, 0†1 (best...110.0.32 8. 03 Gov†t success in ICT promotion*..
*27.5.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
146 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...107.91 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...57.99.1 3. 03 Int†l Internet bandwidth, kb/s per user...
40.52.9 3. 04 Secure Internet servers/million pop...73.25.9 3. 05 Accessibility of digital content*..
*71.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...15.0.08 4. 02 Fixed broadband Internet tariffs, PPP $/month..
25.20.15 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*105.3.2 5. 02 Quality of math & science education*..
*106.3.4 5. 03 Secondary education gross enrollment rate%..%81.86.8 5. 04 Adult literacy rate%..%4...99.7
6. 01 Mobile phone subscriptions/100 pop...77.107.8 6. 02 Individuals using Internet%..%71.45.5 6. 03 Households w/personal computer%..
%80.32.7 6. 04 Households w/Internet access%..%76.32.0 6. 05 Fixed broadband Internet subs.//100 pop...
66.8.7 6. 06 Mobile broadband subscriptions/100 pop...91.8.5 6. 07 Use of virtual social networks*..
*66.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*117.4.1 7. 02 Capacity for innovation*..
*118.3.0 7. 03 PCT patents, applications/million pop...66.1.2 7. 04 Business-to-business Internet use*..*92.4.6
7. 05 Business-to-consumer Internet use*..*98.4.0 7. 06 Extent of staff training*..*107.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*88.3.7 8. 02 Government Online service Index, 0†1 (best...
42.0.60 8. 03 Gov†t success in ICT promotion*..*71.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 147 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...12.26 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
30.74.8 3. 04 Secure Internet servers/million pop...18.1,090. 9 3. 05 Accessibility of digital content*..
*25.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...27.0.11 4. 02 Fixed broadband Internet tariffs, PPP $/month..
92.37.93 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*14.5.1 5. 02 Quality of math & science education*..
*21.5.1 5. 03 Secondary education gross enrollment rate%..%30.101.7 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...67.111.6 6. 02 Individuals using Internet%..%16.84.0 6. 03 Households w/personal computer%..
%12.87.0 6. 04 Households w/Internet access%..%15.85.0 6. 05 Fixed broadband Internet subs.//100 pop...
9...33.7 6. 06 Mobile broadband subscriptions/100 pop...40.40.8 6. 07 Use of virtual social networks*..
*56.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*16.5.8 7. 02 Capacity for innovation*..
*3...5. 6 7. 03 PCT patents, applications/million pop...6...210.5 7. 04 Business-to-business Internet use*..
*20.5.7 7. 05 Business-to-consumer Internet use*..*14.5.8 7. 06 Extent of staff training*..*10.5.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*34.4.5 8. 02 Government Online service Index, 0†1 (best...
24.0.75 8. 03 Gov†t success in ICT promotion*..*34.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
148 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...118.87.0 3. 03 Int†l Internet bandwidth, kb/s per user...
147.0.2 3. 04 Secure Internet servers/million pop...114.3.0 3. 05 Accessibility of digital content*..
*114.4.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...18.0.08 4. 02 Fixed broadband Internet tariffs, PPP $/month 104.45.42
4. 03 Internet & telephony competition, 0†2 (best...89.1.67 5th pillar: Skills 5. 01 Quality of educational system*..
*46.4.2 5. 02 Quality of math & science education*..*62.4.2 5. 03 Secondary education gross enrollment rate,%114.58.2
5. 04 Adult literacy rate%..%122.67.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
90.101.0 6. 02 Individuals using Internet%..%107.17.1 6. 03 Households w/personal computer%..%107.13.8 6. 04 Households w/Internet access%..
%105.11.0 6. 05 Fixed broadband Internet subs.//100 pop...120.0.3 6. 06 Mobile broadband subscriptions/100 pop...
48.33.9 6. 07 Use of virtual social networks*..*99.5.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*91.4.4 7. 02 Capacity for innovation*..*55.3.7 7. 03 PCT patents, applications/million pop...107.0.0
7. 04 Business-to-business Internet use*..*102.4.4 7. 05 Business-to-consumer Internet use*..*115.3.7 7. 06 Extent of staff training*..
*79.3.9 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*49.4.3
8. 02 Government Online service Index, 0†1 (best...116.0.30 8. 03 Gov†t success in ICT promotion*..
*58.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 149 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...53.61 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
35.64.2 3. 04 Secure Internet servers/million pop...42.168.3 3. 05 Accessibility of digital content*..
*69.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...137.0.61 4. 02 Fixed broadband Internet tariffs, PPP $/month..
43.25.15 4. 03 Internet & telephony competition, 0†2 (best...80.1.80 5th pillar: Skills 5. 01 Quality of educational system*..
*112.3.1 5. 02 Quality of math & science education*..*58.4.3 5. 03 Secondary education gross enrollment rate%..
%10.110.8 5. 04 Adult literacy rate%..%55.97.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...49.120.0 6. 02 Individuals using Internet%..%53.56.0 6. 03 Households w/personal computer%..
%56.57.4 6. 04 Households w/Internet access%..%51.54.0 6. 05 Fixed broadband Internet subs.//100 pop...
27.24.1 6. 06 Mobile broadband subscriptions/100 pop...35.45.7 6. 07 Use of virtual social networks*..
*90.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*88.4.5 7. 02 Capacity for innovation*..
*117.3.0 7. 03 PCT patents, applications/million pop...37.7.2 7. 04 Business-to-business Internet use*..*107.4.4
7. 05 Business-to-consumer Internet use*..*86.4.2 7. 06 Extent of staff training*..*116.3.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*138.2.8 8. 02 Government Online service Index, 0†1 (best...
48.0.58 8. 03 Gov†t success in ICT promotion*..*140.3.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
150 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...83.79 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
102.6.6 3. 04 Secure Internet servers/million pop...86.14.1 3. 05 Accessibility of digital content*..
*74.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...114.0.41 4. 02 Fixed broadband Internet tariffs, PPP $/month..
70.30.78 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*135.2.6 5. 02 Quality of math & science education*..
*139.2.4 5. 03 Secondary education gross enrollment rate,%110.65.1 5. 04 Adult literacy rate%..%110.75.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...30.137.8 6. 02 Individuals using Internet%..%111.16.0 6. 03 Households w/personal computer%..
%97.19.2 6. 04 Households w/Internet access%..%109.9.3 6. 05 Fixed broadband Internet subs.//100 pop...
98.1.8 6. 06 Mobile broadband subscriptions/100 pop...106.4.5 6. 07 Use of virtual social networks*..
*74.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*41.5.2 7. 02 Capacity for innovation*..
*51.3.7 7. 03 PCT patents, applications/million pop...101.0.1 7. 04 Business-to-business Internet use*..*52.5.2
7. 05 Business-to-consumer Internet use*..*55.4.8 7. 06 Extent of staff training*..*28.4.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*115.3.3 8. 02 Government Online service Index, 0†1 (best...
77.0.46 8. 03 Gov†t success in ICT promotion*..*115.3.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 151 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...127.80.0 3. 03 Int†l Internet bandwidth, kb/s per user...
134.2.1 3. 04 Secure Internet servers/million pop...143.0.4 3. 05 Accessibility of digital content*..
*145.2.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...36.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month 145 2, 049.86
4. 03 Internet & telephony competition, 0†2 (best...91.1.65 5th pillar: Skills 5. 01 Quality of educational system*..
*139.2.6 5. 02 Quality of math & science education*..*111.3.3 5. 03 Secondary education gross enrollment rate,%131.38.8
5. 04 Adult literacy rate%..%143.41.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
140.41.8 6. 02 Individuals using Internet%..%143.1.5 6. 03 Households w/personal computer%..%144.2.1 6. 04 Households w/Internet access%..
%145.1.3 6. 05 Fixed broadband Internet subs.//100 pop...144.0.0 6. 06 Mobile broadband subscriptions/100 pop...
140.0.0 6. 07 Use of virtual social networks*..*143.4.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*129.3.9 7. 02 Capacity for innovation*..*145.2.5 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*123.4.1 7. 05 Business-to-consumer Internet use*..*134.3.1 7. 06 Extent of staff training*..
*129.3.2 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*96.3.7
8. 02 Government Online service Index, 0†1 (best...144.0.00 8. 03 Gov†t success in ICT promotion*..
*105.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
152 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...88.97.0 3. 03 Int†l Internet bandwidth, kb/s per user...
98.8.4 3. 04 Secure Internet servers/million pop...102.6.3 3. 05 Accessibility of digital content*..
*68.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...31.0.12 4. 02 Fixed broadband Internet tariffs, PPP $/month..
35.22.82 4. 03 Internet & telephony competition, 0†2 (best...139.0.50 5th pillar: Skills 5. 01 Quality of educational system*..
*49.4.1 5. 02 Quality of math & science education*..*53.4.3 5. 03 Secondary education gross enrollment rate%..
%22.105.4 5. 04 Adult literacy rate%..%104.85.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...123.68.8 6. 02 Individuals using Internet%..%93.33.0 6. 03 Households w/personal computer%..
%92.22.9 6. 04 Households w/Internet access%..%85.20.6 6. 05 Fixed broadband Internet subs.//100 pop...
89.3.7 6. 06 Mobile broadband subscriptions/100 pop...133.0.1 6. 07 Use of virtual social networks*..
*60.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*69.4.7 7. 02 Capacity for innovation*..
*38.4.0 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*80.4.8
7. 05 Business-to-consumer Internet use*..*80.4.4 7. 06 Extent of staff training*..*64.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*46.4.4 8. 02 Government Online service Index, 0†1 (best...
123.0.25 8. 03 Gov†t success in ICT promotion*..*55.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 153 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...n/a n/a 3. 03 Int†l Internet bandwidth, kb/s per user...
148.0.2 3. 04 Secure Internet servers/million pop...123.1.7 3. 05 Accessibility of digital content*..
*138.3.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...54.0.18 4. 02 Fixed broadband Internet tariffs, PPP $/month 126.72.32
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*142.2.3 5. 02 Quality of math & science education*..*120.3.0
5. 03 Secondary education gross enrollment rate%.%n/a n/a 5. 04 Adult literacy rate%..%140.48.7
6. 01 Mobile phone subscriptions/100 pop...131.59.9 6. 02 Individuals using Internet%..%125.9.8 6. 03 Households w/personal computer%..
%123.7.3 6. 04 Households w/Internet access%..%131.3.4 6. 05 Fixed broadband Internet subs.//100 pop...
147.0.0 6. 06 Mobile broadband subscriptions/100 pop...140.0.0 6. 07 Use of virtual social networks*..
*119.4.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*132.3.8 7. 02 Capacity for innovation*..
*140.2.6 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*138.3.7
7. 05 Business-to-consumer Internet use*..*128.3.4 7. 06 Extent of staff training*..*144.2.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*140.2.7 8. 02 Government Online service Index, 0†1 (best...
142.0.09 8. 03 Gov†t success in ICT promotion*..*138.3.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
154 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...75.73 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...116.89.9 3. 03 Int†l Internet bandwidth, kb/s per user...
118.4.2 3. 04 Secure Internet servers/million pop...95.9.5 3. 05 Accessibility of digital content*..
*107.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...107.0.36 4. 02 Fixed broadband Internet tariffs, PPP $/month..
83.34.71 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*141.2.4 5. 02 Quality of math & science education*..
*144.2.2 5. 03 Secondary education gross enrollment rate,%102.73.1 5. 04 Adult literacy rate%..%101.85.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...99.92.9 6. 02 Individuals using Internet%..%105.18.1 6. 03 Households w/personal computer%..
%104.15.1 6. 04 Households w/Internet access%..%100.13.2 6. 05 Fixed broadband Internet subs.//100 pop...
110.0.8 6. 06 Mobile broadband subscriptions/100 pop...90.8.6 6. 07 Use of virtual social networks*..
*98.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*74.4.7 7. 02 Capacity for innovation*..
*112.3.1 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*91.4.6
7. 05 Business-to-consumer Internet use*..*93.4.1 7. 06 Extent of staff training*..*77.3.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*139.2.7 8. 02 Government Online service Index, 0†1 (best...
94.0.38 8. 03 Gov†t success in ICT promotion*..*146.2.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 155 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...30.43 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
2..1, 426.6 3. 04 Secure Internet servers/million pop...24.636.7 3. 05 Accessibility of digital content*..
*10.6.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...3...0. 02
4. 02 Fixed broadband Internet tariffs, PPP $/month..66.30.08 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*22.4.8 5. 02 Quality of math & science education*..
*10.5.5 5. 03 Secondary education gross enrollment rate%..%21.105.6 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...1...229.2 6. 02 Individuals using Internet%..%33.72.8 6. 03 Households w/personal computer%..
%24.80.3 6. 04 Households w/Internet access%..%22.78.6 6. 05 Fixed broadband Internet subs.//100 pop...
15.31.2 6. 06 Mobile broadband subscriptions/100 pop...11.83.2 6. 07 Use of virtual social networks*..
*16.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*12.5.9 7. 02 Capacity for innovation*..
*29.4.2 7. 03 PCT patents, applications/million pop...n/a n/a 7. 04 Business-to-business Internet use*..
*18.5.8 7. 05 Business-to-consumer Internet use*..*19.5.5 7. 06 Extent of staff training*..*21.4.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*21.4.9 8. 02 Government Online service Index, 0†1 (best...
n/a n/a 8. 03 Gov†t success in ICT promotion*..*17.5.2 9th pillar: Economic impacts
156 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...28.41 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
83.15.3 3. 04 Secure Internet servers/million pop...35.247.2 3. 05 Accessibility of digital content*..
*24.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...78.0.27 4. 02 Fixed broadband Internet tariffs, PPP $/month 107.48.58
4. 03 Internet & telephony competition, 0†2 (best...68.1.88 5th pillar: Skills 5. 01 Quality of educational system*..
*93.3.4 5. 02 Quality of math & science education*..*38.4.6 5. 03 Secondary education gross enrollment rate%..
%35.100.8 5. 04 Adult literacy rate%..%13.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...59.116.1 6. 02 Individuals using Internet%..%34.72.0 6. 03 Households w/personal computer%..
%38.71.0 6. 04 Households w/Internet access%..%35.69.0 6. 05 Fixed broadband Internet subs.//100 pop...
31.22.9 6. 06 Mobile broadband subscriptions/100 pop...64.24.2 6. 07 Use of virtual social networks*..
*76.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*73.4.7 7. 02 Capacity for innovation*..
*97.3.2 7. 03 PCT patents, applications/million pop...28.24.2 7. 04 Business-to-business Internet use*..*42.5.3
7. 05 Business-to-consumer Internet use*..*52.4.9 7. 06 Extent of staff training*..*108.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*108.3.4 8. 02 Government Online service Index, 0†1 (best...
31.0.69 8. 03 Gov†t success in ICT promotion*..*117.3.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 157 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...34.48 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
5...319.0 3. 04 Secure Internet servers/million pop...1..3, 139.3 3. 05 Accessibility of digital content*..
*1...6. 6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
33.0.13 4. 02 Fixed broadband Internet tariffs, PPP $/month..50.26.18 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*16.5.1 5. 02 Quality of math & science education*..
*24.4.9 5. 03 Secondary education gross enrollment rate%..%14.108.6 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...76.108.1 6. 02 Individuals using Internet%..%1...96.2 6. 03 Households w/personal computer%..
%2...96.0 6. 04 Households w/Internet access%..%2...95.0 6. 05 Fixed broadband Internet subs./
/100 pop...7...34.3 6. 06 Mobile broadband subscriptions/100 pop...16.70.9 6. 07 Use of virtual social networks*..
*1...6. 7 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*2...6. 2
7. 02 Capacity for innovation*..*32.4.1 7. 03 PCT patents, applications/million pop...18.84.1 7. 04 Business-to-business Internet use*..
*22.5.7 7. 05 Business-to-consumer Internet use*..*28.5.3 7. 06 Extent of staff training*..*24.4.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*62.4.1 8. 02 Government Online service Index, 0†1 (best...
53.0.54 8. 03 Gov†t success in ICT promotion*..*66.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
158 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...58.63 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...122.83.0 3. 03 Int†l Internet bandwidth, kb/s per user...
111.5.3 3. 04 Secure Internet servers/million pop...108.3.6 3. 05 Accessibility of digital content*..
*84.4.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...7...0. 04
4. 02 Fixed broadband Internet tariffs, PPP $/month...4...13.45 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*33.4.4 5. 02 Quality of math & science education*..
*32.4.7 5. 03 Secondary education gross enrollment rate,%105.68.5 5. 04 Adult literacy rate%..%127.62.8 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...122.69.9 6. 02 Individuals using Internet%..%119.12.6 6. 03 Households w/personal computer%..
%112.10.9 6. 04 Households w/Internet access%..%108.9.5 6. 05 Fixed broadband Internet subs.//100 pop...
102.1.2 6. 06 Mobile broadband subscriptions/100 pop...104.5.0 6. 07 Use of virtual social networks*..
*91.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*48.5.0 7. 02 Capacity for innovation*..
*41.4.0 7. 03 PCT patents, applications/million pop...61.1.5 7. 04 Business-to-business Internet use*..*69.4.8
7. 05 Business-to-consumer Internet use*..*71.4.5 7. 06 Extent of staff training*..*53.4.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*54.4.3 8. 02 Government Online service Index, 0†1 (best...
55.0.54 8. 03 Gov†t success in ICT promotion*..*29.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 159 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...98.86 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
77.17.1 3. 04 Secure Internet servers/million pop...105.3.9 3. 05 Accessibility of digital content*..
*80.4.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...45.0.16 4. 02 Fixed broadband Internet tariffs, PPP $/month..
56.28.48 4. 03 Internet & telephony competition, 0†2 (best...84.1.76 5th pillar: Skills 5. 01 Quality of educational system*..
*36.4.3 5. 02 Quality of math & science education*..*35.4.7 5. 03 Secondary education gross enrollment rate%..
%93.81.2 5. 04 Adult literacy rate%..%77.92.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...61.114.2 6. 02 Individuals using Internet%..%112.15.4 6. 03 Households w/personal computer%..
%103.15.1 6. 04 Households w/Internet access%..%117.6.5 6. 05 Fixed broadband Internet subs.//100 pop...
103.1.2 6. 06 Mobile broadband subscriptions/100 pop...54.31.6 6. 07 Use of virtual social networks*..
*48.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*46.5.1 7. 02 Capacity for innovation*..
*24.4.4 7. 03 PCT patents, applications/million pop...103.0.1 7. 04 Business-to-business Internet use*..*63.4.9
7. 05 Business-to-consumer Internet use*..*31.5.2 7. 06 Extent of staff training*..*25.4.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*42.4.4 8. 02 Government Online service Index, 0†1 (best...
67.0.50 8. 03 Gov†t success in ICT promotion*..*53.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
160 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...97.96.0 3. 03 Int†l Internet bandwidth, kb/s per user...
121.3.7 3. 04 Secure Internet servers/million pop...127.1.3 3. 05 Accessibility of digital content*..
*123.3.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...61.0.21 4. 02 Fixed broadband Internet tariffs, PPP $/month 124.69.52
4. 03 Internet & telephony competition, 0†2 (best...110.1.29 5th pillar: Skills 5. 01 Quality of educational system*..
*103.3.2 5. 02 Quality of math & science education*..*40.4.6 5. 03 Secondary education gross enrollment rate%..
%83.86.3 5. 04 Adult literacy rate%..%103.85.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...117.76.1 6. 02 Individuals using Internet%..%98.26.0 6. 03 Households w/personal computer%..
%77.37.0 6. 04 Households w/Internet access%..%78.26.5 6. 05 Fixed broadband Internet subs.//100 pop...
85.4.0 6. 06 Mobile broadband subscriptions/100 pop...122.1.3 6. 07 Use of virtual social networks*..
*147.3.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*120.4.0 7. 02 Capacity for innovation*..
*85.3.4 7. 03 PCT patents, applications/million pop...106.0.0 7. 04 Business-to-business Internet use*..*139.3.7
7. 05 Business-to-consumer Internet use*..*121.3.5 7. 06 Extent of staff training*..*141.3.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*105.3.5 8. 02 Government Online service Index, 0†1 (best...
70.0.49 8. 03 Gov†t success in ICT promotion*..*102.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 161 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...19.34 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
20.97.1 3. 04 Secure Internet servers/million pop...19.1,003. 1 3. 05 Accessibility of digital content*..
*49.5.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...134.0.55 4. 02 Fixed broadband Internet tariffs, PPP $/month..
68.30.56 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*5...5. 5 5. 02 Quality of math & science education*..
*25.4.9 5. 03 Secondary education gross enrollment rate%..%6...117.8 5. 04 Adult literacy rate%..%14.99.0
6. 01 Mobile phone subscriptions/100 pop...78.107.2 6. 02 Individuals using Internet%..%25.79.0 6. 03 Households w/personal computer%..
%19.83.0 6. 04 Households w/Internet access%..%18.81.0 6. 05 Fixed broadband Internet subs.//100 pop...
32.22.7 6. 06 Mobile broadband subscriptions/100 pop...18.65.9 6. 07 Use of virtual social networks*..
*29.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*25.5.6 7. 02 Capacity for innovation*..
*20.4.6 7. 03 PCT patents, applications/million pop...20.79.1 7. 04 Business-to-business Internet use*..*33.5.5
7. 05 Business-to-consumer Internet use*..*33.5.1 7. 06 Extent of staff training*..*20.4.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*45.4.4 8. 02 Government Online service Index, 0†1 (best...
55.0.54 8. 03 Gov†t success in ICT promotion*..*41.4.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
162 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...17.31 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
39.56.2 3. 04 Secure Internet servers/million pop...29.396.4 3. 05 Accessibility of digital content*..
*37.5.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...89.0.31 4. 02 Fixed broadband Internet tariffs, PPP $/month...
2...8. 39 4. 03 Internet & telephony competition, 0†2 (best...84.1.76 5th pillar:
Skills 5. 01 Quality of educational system*..*56.4.0 5. 02 Quality of math & science education*..
*78.4.0 5. 03 Secondary education gross enrollment rate%..%27.101.9 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...48.120.7 6. 02 Individuals using Internet%..%31.73.4 6. 03 Households w/personal computer%..
%21.82.1 6. 04 Households w/Internet access%..%29.73.4 6. 05 Fixed broadband Internet subs.//100 pop...
22.25.3 6. 06 Mobile broadband subscriptions/100 pop...26.53.0 6. 07 Use of virtual social networks*..
*32.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*5...6. 1 7. 02 Capacity for innovation*..
*4...5. 6 7. 03 PCT patents, applications/million pop...5...215.8 7. 04 Business-to-business Internet use*..
*40.5.3 7. 05 Business-to-consumer Internet use*..*23.5.4 7. 06 Extent of staff training*..*49.4.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*43.4.4 8. 02 Government Online service Index, 0†1 (best...
15.0.85 8. 03 Gov†t success in ICT promotion*..*19.5.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 163 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...34.48 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
28.76.3 3. 04 Secure Internet servers/million pop...39.208.1 3. 05 Accessibility of digital content*..
*98.4.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...42.0.15 4. 02 Fixed broadband Internet tariffs, PPP $/month..
46.25.91 4. 03 Internet & telephony competition, 0†2 (best...89.1.67 5th pillar: Skills 5. 01 Quality of educational system*..
*72.3.6 5. 02 Quality of math & science education*..*61.4.3 5. 03 Secondary education gross enrollment rate%..
%36.100.7 5. 04 Adult literacy rate%..%38.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...13.159.8 6. 02 Individuals using Internet%..%51.58.0 6. 03 Households w/personal computer%..
%44.67.0 6. 04 Households w/Internet access%..%43.63.0 6. 05 Fixed broadband Internet subs.//100 pop...
34.22.1 6. 06 Mobile broadband subscriptions/100 pop...28.52.2 6. 07 Use of virtual social networks*..
*65.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*112.4.2 7. 02 Capacity for innovation*..
*31.4.2 7. 03 PCT patents, applications/million pop...24.51.8 7. 04 Business-to-business Internet use*..*113.4.3
7. 05 Business-to-consumer Internet use*..*82.4.3 7. 06 Extent of staff training*..*130.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*130.3.0 8. 02 Government Online service Index, 0†1 (best...
48.0.58 8. 03 Gov†t success in ICT promotion*..*144.3.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
164 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...101.95.0 3. 03 Int†l Internet bandwidth, kb/s per user...
69.20.2 3. 04 Secure Internet servers/million pop...60.51.3 3. 05 Accessibility of digital content*..
*56.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...69.0.23 4. 02 Fixed broadband Internet tariffs, PPP $/month 105.47.09
4. 03 Internet & telephony competition, 0†2 (best...61.1.93 5th pillar: Skills 5. 01 Quality of educational system*..
*66.3.7 5. 02 Quality of math & science education*..*115.3.2 5. 03 Secondary education gross enrollment rate%..
%65.92.7 5. 04 Adult literacy rate%..%99.87.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...96.96.3 6. 02 Individuals using Internet%..%70.46.5 6. 03 Households w/personal computer%..
%81.32.6 6. 04 Households w/Internet access%..%82.23.0 6. 05 Fixed broadband Internet subs.//100 pop...
84.4.3 6. 06 Mobile broadband subscriptions/100 pop...119.1.6 6. 07 Use of virtual social networks*..
*53.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*65.4.8 7. 02 Capacity for innovation*..
*60.3.6 7. 03 PCT patents, applications/million pop...74.0.6 7. 04 Business-to-business Internet use*..*75.4.8
7. 05 Business-to-consumer Internet use*..*97.4.0 7. 06 Extent of staff training*..*62.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*89.3.7 8. 02 Government Online service Index, 0†1 (best...
115.0.31 8. 03 Gov†t success in ICT promotion*..*75.4.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 165 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...3...21 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
52.32.8 3. 04 Secure Internet servers/million pop...21.750.0 3. 05 Accessibility of digital content*..
*13.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...113.0.40 4. 02 Fixed broadband Internet tariffs, PPP $/month..
23.20.01 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*50.4.1 5. 02 Quality of math & science education*..
*34.4.7 5. 03 Secondary education gross enrollment rate%..%29.101.8 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...69.110.9 6. 02 Individuals using Internet%..%24.79.1 6. 03 Households w/personal computer%..
%26.80.0 6. 04 Households w/Internet access%..%14.86.0 6. 05 Fixed broadband Internet subs.//100 pop...
19.27.7 6. 06 Mobile broadband subscriptions/100 pop...2...115.1 6. 07 Use of virtual social networks*..
*68.5.7 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*6...6. 1 7. 02 Capacity for innovation*..
*6...5. 6 7. 03 PCT patents, applications/million pop...1...301.1 7. 04 Business-to-business Internet use*..
*7...6. 0 7. 05 Business-to-consumer Internet use*..*6...6. 0 7. 06 Extent of staff training*..
*4...5. 3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..
*28.4.6 8. 02 Government Online service Index, 0†1 (best...9...0. 86 8. 03 Gov†t success in ICT promotion*..
166 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...50.58 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
112.5.2 3. 04 Secure Internet servers/million pop...69.29.3 3. 05 Accessibility of digital content*..
*54.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...9...0. 05
4. 02 Fixed broadband Internet tariffs, PPP $/month..36.22.95 4. 03 Internet & telephony competition, 0†2 (best...
60.1.94 5th pillar: Skills 5. 01 Quality of educational system*..*27.4.6 5. 02 Quality of math & science education*..
*30.4.8 5. 03 Secondary education gross enrollment rate%..%76.89.1 5. 04 Adult literacy rate%..%59.95.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...37.128.2 6. 02 Individuals using Internet%..%81.41.0 6. 03 Households w/personal computer%..
%59.54.6 6. 04 Households w/Internet access%..%64.43.6 6. 05 Fixed broadband Internet subs.//100 pop...
92.2.8 6. 06 Mobile broadband subscriptions/100 pop...85.11.3 6. 07 Use of virtual social networks*..
*39.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*27.5.6 7. 02 Capacity for innovation*..
*69.3.5 7. 03 PCT patents, applications/million pop...80.0.4 7. 04 Business-to-business Internet use*..*45.5.3
7. 05 Business-to-consumer Internet use*..*44.4.9 7. 06 Extent of staff training*..*83.3.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*30.4.6 8. 02 Government Online service Index, 0†1 (best...
93.0.39 8. 03 Gov†t success in ICT promotion*..*30.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 167 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...78.76 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...101.95.0 3. 03 Int†l Internet bandwidth, kb/s per user...
54.32.0 3. 04 Secure Internet servers/million pop...98.7.4 3. 05 Accessibility of digital content*..
*59.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...17.0.08 4. 02 Fixed broadband Internet tariffs, PPP $/month...
8...14.60 4. 03 Internet & telephony competition, 0†2 (best...69.1.87 5th pillar: Skills
5. 01 Quality of educational system*..*88.3.4 5. 02 Quality of math & science education*..*75.4.1
5. 03 Secondary education gross enrollment rate%..%45.97.7 5. 04 Adult literacy rate%..%9...99.7 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...3...185.8 6. 02 Individuals using Internet%..%61.53.3 6. 03 Households w/personal computer%..
%49.63.0 6. 04 Households w/Internet access%..%53.52.6 6. 05 Fixed broadband Internet subs.//100 pop...
62.9.8 6. 06 Mobile broadband subscriptions/100 pop...38.42.5 6. 07 Use of virtual social networks*..
*96.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*78.4.6 7. 02 Capacity for innovation*..
*74.3.5 7. 03 PCT patents, applications/million pop...70.1.0 7. 04 Business-to-business Internet use*..*67.4.9
7. 05 Business-to-consumer Internet use*..*58.4.8 7. 06 Extent of staff training*..*56.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*27.4.6 8. 02 Government Online service Index, 0†1 (best...
21.0.78 8. 03 Gov†t success in ICT promotion*..*26.5.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
168 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...81.78 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...117.89.1 3. 03 Int†l Internet bandwidth, kb/s per user...
66.23.7 3. 04 Secure Internet servers/million pop...103.4.2 3. 05 Accessibility of digital content*..
*79.4.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...21.0.09 4. 02 Fixed broadband Internet tariffs, PPP $/month 119.65.18
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*44.4.2 5. 02 Quality of math & science education*..*95.3.8
5. 03 Secondary education gross enrollment rate,%112.60.1 5. 04 Adult literacy rate%..%97.87.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...121.71.2 6. 02 Individuals using Internet%..%95.32.1 6. 03 Households w/personal computer%..
%113.10.8 6. 04 Households w/Internet access%..%103.11.5 6. 05 Fixed broadband Internet subs.//100 pop...
128.0.1 6. 06 Mobile broadband subscriptions/100 pop...116.2.2 6. 07 Use of virtual social networks*..
*81.5.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*66.4.8 7. 02 Capacity for innovation*..
*34.4.1 7. 03 PCT patents, applications/million pop...93.0.2 7. 04 Business-to-business Internet use*..*57.5.0
7. 05 Business-to-consumer Internet use*..*66.4.6 7. 06 Extent of staff training*..*54.4.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*26.4.7 8. 02 Government Online service Index, 0†1 (best...
86.0.43 8. 03 Gov†t success in ICT promotion*..*31.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 169 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...25.40 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
63.25.8 3. 04 Secure Internet servers/million pop...3..2, 751.6 3. 05 Accessibility of digital content*..
*14.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...39.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month..
88.36.31 4. 03 Internet & telephony competition, 0†2 (best...87.1.75 5th pillar: Skills 5. 01 Quality of educational system*..
*64.3.8 5. 02 Quality of math & science education*..*20.5.1 5. 03 Secondary education gross enrollment rate%..
%50.96.7 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...72.109.4 6. 02 Individuals using Internet%..%15.84.1 6. 03 Households w/personal computer%..
%20.82.3 6. 04 Households w/Internet access%..%1...97.4 6. 05 Fixed broadband Internet subs.//100 pop...
5...37.2 6. 06 Mobile broadband subscriptions/100 pop...4...105.1 6. 07 Use of virtual social networks*..
*57.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*21.5.7 7. 02 Capacity for innovation*..
*22.4.5 7. 03 PCT patents, applications/million pop...8...198.4 7. 04 Business-to-business Internet use*..
*17.5.8 7. 05 Business-to-consumer Internet use*..*2...6. 2 7. 06 Extent of staff training*..
*51.4.2 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*15.5.1
8. 02 Government Online service Index, 0†1 (best...1...1. 00 8. 03 Gov†t success in ICT promotion*..
170 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...52.59 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
109.5.4 3. 04 Secure Internet servers/million pop...41.179.0 3. 05 Accessibility of digital content*..
*51.5.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...35.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month..
30.21.37 4. 03 Internet & telephony competition, 0†2 (best...142.0.25 5th pillar: Skills 5. 01 Quality of educational system*..
*106.3.1 5. 02 Quality of math & science education*..*99.3.6 5. 03 Secondary education gross enrollment rate%..
%34.101.0 5. 04 Adult literacy rate%..%69.93.9 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...15.156.9 6. 02 Individuals using Internet%..%23.79.2 6. 03 Households w/personal computer%..
%35.75.0 6. 04 Households w/Internet access%..%40.65.2 6. 05 Fixed broadband Internet subs.//100 pop...
101.1.4 6. 06 Mobile broadband subscriptions/100 pop...n/a n/a 6. 07 Use of virtual social networks*..
*35.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*57.4.9 7. 02 Capacity for innovation*..
*136.2.6 7. 03 PCT patents, applications/million pop...89.0.3 7. 04 Business-to-business Internet use*..*61.4.9
7. 05 Business-to-consumer Internet use*..*69.4.5 7. 06 Extent of staff training*..*94.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*126.3.1 8. 02 Government Online service Index, 0†1 (best...
47.0.58 8. 03 Gov†t success in ICT promotion*..*133.3.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 171 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...87.97.5 3. 03 Int†l Internet bandwidth, kb/s per user...
120.3.9 3. 04 Secure Internet servers/million pop...104.4.1 3. 05 Accessibility of digital content*..
*78.4.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...41.0.15 4. 02 Fixed broadband Internet tariffs, PPP $/month 138.114.69
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*123.2.7 5. 02 Quality of math & science education*..*122.3.0
5. 03 Secondary education gross enrollment rate%..%78.88.2 5. 04 Adult literacy rate%..%12.99.2 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...45.124.2 6. 02 Individuals using Internet%..%101.21.7 6. 03 Households w/personal computer%..
%124.6.9 6. 04 Households w/Internet access%..%118.6.3 6. 05 Fixed broadband Internet subs.//100 pop...
109.0.9 6. 06 Mobile broadband subscriptions/100 pop...134.0.0 6. 07 Use of virtual social networks*..
*117.4.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*139.3.7 7. 02 Capacity for innovation*..
*138.2.6 7. 03 PCT patents, applications/million pop...95.0.1 7. 04 Business-to-business Internet use*..*133.3.8
7. 05 Business-to-consumer Internet use*..*105.3.9 7. 06 Extent of staff training*..*131.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*147.2.4 8. 02 Government Online service Index, 0†1 (best...
88.0.42 8. 03 Gov†t success in ICT promotion*..*143.3.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
172 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...131.72.0 3. 03 Int†l Internet bandwidth, kb/s per user...
96.9.4 3. 04 Secure Internet servers/million pop...133.0.9 3. 05 Accessibility of digital content*..
*77.5.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...59.0.21 4. 02 Fixed broadband Internet tariffs, PPP $/month 142.209.78
4. 03 Internet & telephony competition, 0†2 (best...130.0.91 5th pillar: Skills 5. 01 Quality of educational system*..
*57.4.0 5. 02 Quality of math & science education*..*90.3.8 5. 03 Secondary education gross enrollment rate,%125.46.5
5. 04 Adult literacy rate%..%116.72.7 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
127.64.7 6. 02 Individuals using Internet%..%123.10.7 6. 03 Households w/personal computer%..%117.8.7 6. 04 Households w/Internet access%..
%121.5.1 6. 05 Fixed broadband Internet subs.//100 pop...125.0.1 6. 06 Mobile broadband subscriptions/100 pop...
117.2.1 6. 07 Use of virtual social networks*..*118.4.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*90.4.5 7. 02 Capacity for innovation*..*46.3.8 7. 03 PCT patents, applications/million pop...113.0.0
7. 04 Business-to-business Internet use*..*98.4.5 7. 05 Business-to-consumer Internet use*..*95.4.1 7. 06 Extent of staff training*..
*55.4.2 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*35.4.5
8. 02 Government Online service Index, 0†1 (best...127.0.22 8. 03 Gov†t success in ICT promotion*..
*49.4.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 173 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...44.54 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...79.98.8 3. 03 Int†l Internet bandwidth, kb/s per user...
38.59.0 3. 04 Secure Internet servers/million pop...33.274.5 3. 05 Accessibility of digital content*..
*31.5.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...64.0.22 4. 02 Fixed broadband Internet tariffs, PPP $/month..
22.19.73 4. 03 Internet & telephony competition, 0†2 (best...82.1.77 5th pillar: Skills 5. 01 Quality of educational system*..
*68.3.7 5. 02 Quality of math & science education*..*33.4.7 5. 03 Secondary education gross enrollment rate%..
%40.98.7 5. 04 Adult literacy rate%..%2...99.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...63.112.1 6. 02 Individuals using Internet%..%30.74.0 6. 03 Households w/personal computer%..
%39.70.0 6. 04 Households w/Internet access%..%35.69.0 6. 05 Fixed broadband Internet subs.//100 pop...
29.23.4 6. 06 Mobile broadband subscriptions/100 pop...22.58.2 6. 07 Use of virtual social networks*..
*55.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*68.4.7 7. 02 Capacity for innovation*..
*66.3.5 7. 03 PCT patents, applications/million pop...36.8.8 7. 04 Business-to-business Internet use*..*46.5.2
7. 05 Business-to-consumer Internet use*..*24.5.4 7. 06 Extent of staff training*..*47.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*107.3.4 8. 02 Government Online service Index, 0†1 (best...
45.0.59 8. 03 Gov†t success in ICT promotion*..*99.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
174 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...71.71 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...56.99.1 3. 03 Int†l Internet bandwidth, kb/s per user...
71.18.4 3. 04 Secure Internet servers/million pop...61.48.6 3. 05 Accessibility of digital content*..
*115.4.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...97.0.34 4. 02 Fixed broadband Internet tariffs, PPP $/month..
49.26.07 4. 03 Internet & telephony competition, 0†2 (best...138.0.55 5th pillar: Skills 5. 01 Quality of educational system*..
*13.5.2 5. 02 Quality of math & science education*..*4...5. 8 5. 03 Secondary education gross enrollment rate,%100.74.0
5. 04 Adult literacy rate%..%90.89.6 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
114.80.8 6. 02 Individuals using Internet%..%46.61.3 6. 03 Households w/personal computer%..%27.79.7 6. 04 Households w/Internet access%..
%42.64.0 6. 05 Fixed broadband Internet subs.//100 pop...63.9.7 6. 06 Mobile broadband subscriptions/100 pop...
56.28.3 6. 07 Use of virtual social networks*..*70.5.7 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*86.4.5 7. 02 Capacity for innovation*..*89.3.4 7. 03 PCT patents, applications/million pop...60.1.5
7. 04 Business-to-business Internet use*..*136.3.7 7. 05 Business-to-consumer Internet use*..*140.3.0 7. 06 Extent of staff training*..
*99.3.7 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*148.2.2
8. 02 Government Online service Index, 0†1 (best...74.0.48 8. 03 Gov†t success in ICT promotion*..
*148.2.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 175 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...125.81.0 3. 03 Int†l Internet bandwidth, kb/s per user...
105.6.3 3. 04 Secure Internet servers/million pop...141.0.5 3. 05 Accessibility of digital content*..
*128.3.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...123.0.46 4. 02 Fixed broadband Internet tariffs, PPP $/month 139.122.24
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*73.3.6 5. 02 Quality of math & science education*..*105.3.4
5. 03 Secondary education gross enrollment rate,%118.51.7 5. 04 Adult literacy rate%..%89.89.6 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...119.75.3 6. 02 Individuals using Internet%..%133.4.6 6. 03 Households w/personal computer%..
%126.5.9 6. 04 Households w/Internet access%..%128.3.7 6. 05 Fixed broadband Internet subs.//100 pop...
131.0.1 6. 06 Mobile broadband subscriptions/100 pop...95.7.5 6. 07 Use of virtual social networks*..
*137.4.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*141.3.7 7. 02 Capacity for innovation*..
*130.2.8 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*143.3.5
7. 05 Business-to-consumer Internet use*..*137.3.1 7. 06 Extent of staff training*..*110.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*132.2.9 8. 02 Government Online service Index, 0†1 (best...
116.0.30 8. 03 Gov†t success in ICT promotion*..*142.3.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
176 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...144.16.4 3. 03 Int†l Internet bandwidth, kb/s per user...
135.2.0 3. 04 Secure Internet servers/million pop...131.1.2 3. 05 Accessibility of digital content*..
*136.3.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...1...0. 00
4. 02 Fixed broadband Internet tariffs, PPP $/month. n/a n/a 4. 03 Internet & telephony competition, 0†2 (best...
87.1.75 5th pillar: Skills 5. 01 Quality of educational system*..*96.3.4 5. 02 Quality of math & science education*..
*125.2.9 5. 03 Secondary education gross enrollment rate,%127.45.2 5. 04 Adult literacy rate%..%129.60.8 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...134.57.1 6. 02 Individuals using Internet%..%137.3.8 6. 03 Households w/personal computer%..
%145.2.0 6. 04 Households w/Internet access%..%143.1.5 6. 05 Fixed broadband Internet subs.//100 pop...
146.0.0 6. 06 Mobile broadband subscriptions/100 pop...135.0.0 6. 07 Use of virtual social networks*..
*127.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*136.3.8 7. 02 Capacity for innovation*..
*68.3.5 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*132.3.9
7. 05 Business-to-consumer Internet use*..*132.3.3 7. 06 Extent of staff training*..*101.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*83.3.8 8. 02 Government Online service Index, 0†1 (best...
131.0.19 8. 03 Gov†t success in ICT promotion*..*108.3.8 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 177 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...104.90 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...81.98.0 3. 03 Int†l Internet bandwidth, kb/s per user...
88.14.0 3. 04 Secure Internet servers/million pop...121.1.8 3. 05 Accessibility of digital content*..
*139.3.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...n/a n/a
4. 02 Fixed broadband Internet tariffs, PPP $/month 123.66.89 4. 03 Internet & telephony competition, 0†2 (best...
144.0.00 5th pillar: Skills 5. 01 Quality of educational system*..*148.1.9 5. 02 Quality of math & science education*..
*130.2.7 5. 03 Secondary education gross enrollment rate%..%24.104.3 5. 04 Adult literacy rate%..%92.89.5 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...16.155.8 6. 02 Individuals using Internet%..%115.14.0 6. 03 Households w/personal computer%..
%98.17.6 6. 04 Households w/Internet access%..%98.13.7 6. 05 Fixed broadband Internet subs.//100 pop...
106.1.1 6. 06 Mobile broadband subscriptions/100 pop...n/a n/a 6. 07 Use of virtual social networks*..
*115.5.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*142.3.6 7. 02 Capacity for innovation*..
*143.2.5 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*142.3.5
7. 05 Business-to-consumer Internet use*..*144.2.7 7. 06 Extent of staff training*..*143.2.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*145.2.5 8. 02 Government Online service Index, 0†1 (best...
144.0.00 8. 03 Gov†t success in ICT promotion*..*147.2.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
178 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...44.54 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...81.98.0 3. 03 Int†l Internet bandwidth, kb/s per user...
29.76.2 3. 04 Secure Internet servers/million pop...34.273.0 3. 05 Accessibility of digital content*..
*23.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...57.0.20 4. 02 Fixed broadband Internet tariffs, PPP $/month..
20.19.13 4. 03 Internet & telephony competition, 0†2 (best...63.1.92 5th pillar: Skills 5. 01 Quality of educational system*..
*59.4.0 5. 02 Quality of math & science education*..*16.5.2 5. 03 Secondary education gross enrollment rate%..
%18.106.9 5. 04 Adult literacy rate%..%7...99.7 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...9...165.1 6. 02 Individuals using Internet%..%38.68.0 6. 03 Households w/personal computer%..
%47.64.0 6. 04 Households w/Internet access%..%45.62.0 6. 05 Fixed broadband Internet subs.//100 pop...
35.21.1 6. 06 Mobile broadband subscriptions/100 pop...73.18.8 6. 07 Use of virtual social networks*..
*20.6.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*42.5.2 7. 02 Capacity for innovation*..
*40.4.0 7. 03 PCT patents, applications/million pop...45.5.8 7. 04 Business-to-business Internet use*..*4...6. 1
7. 05 Business-to-consumer Internet use*..*10.5.8 7. 06 Extent of staff training*..*59.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*70.3.9 8. 02 Government Online service Index, 0†1 (best...
29.0.70 8. 03 Gov†t success in ICT promotion*..*44.4.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 179 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...2...20 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
1..4, 088.5 3. 04 Secure Internet servers/million pop...6..1, 983.3 3. 05 Accessibility of digital content*..
*8...6. 4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
74.0.25 4. 02 Fixed broadband Internet tariffs, PPP $/month..72.31.70 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*34.4.4 5. 02 Quality of math & science education*..
*44.4.5 5. 03 Secondary education gross enrollment rate%..%33.101.0 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...25.145.4 6. 02 Individuals using Internet%..%6...92.0 6. 03 Households w/personal computer%..
%5...92.0 6. 04 Households w/Internet access%..%4...93.0 6. 05 Fixed broadband Internet subs./
/100 pop...12.32.4 6. 06 Mobile broadband subscriptions/100 pop...12.80.6 6. 07 Use of virtual social networks*..
*30.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*11.5.9 7. 02 Capacity for innovation*..
*11.5.1 7. 03 PCT patents, applications/million pop...14.112.6 7. 04 Business-to-business Internet use*..*15.5.9
7. 05 Business-to-consumer Internet use*..*26.5.3 7. 06 Extent of staff training*..*3...5. 4
8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*7...5. 5
8. 02 Government Online service Index, 0†1 (best...29.0.70 8. 03 Gov†t success in ICT promotion*..
180 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...62.66 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
58.30.8 3. 04 Secure Internet servers/million pop...63.39.4 3. 05 Accessibility of digital content*..
*53.5.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...60.0.21 4. 02 Fixed broadband Internet tariffs, PPP $/month..
74.32.42 4. 03 Internet & telephony competition, 0†2 (best...130.0.91 5th pillar: Skills 5. 01 Quality of educational system*..
*70.3.7 5. 02 Quality of math & science education*..*51.4.4 5. 03 Secondary education gross enrollment rate%..
%91.81.9 5. 04 Adult literacy rate%..%53.97.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...82.106.2 6. 02 Individuals using Internet%..%43.63.1 6. 03 Households w/personal computer%..
%55.58.4 6. 04 Households w/Internet access%..%49.56.8 6. 05 Fixed broadband Internet subs.//100 pop...
48.13.7 6. 06 Mobile broadband subscriptions/100 pop...63.25.1 6. 07 Use of virtual social networks*..
*23.6.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*121.4.0 7. 02 Capacity for innovation*..
*94.3.2 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*56.5.0
7. 05 Business-to-consumer Internet use*..*85.4.3 7. 06 Extent of staff training*..*104.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*29.4.6 8. 02 Government Online service Index, 0†1 (best...
83.0.45 8. 03 Gov†t success in ICT promotion*..*32.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 181 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...142.23.0 3. 03 Int†l Internet bandwidth, kb/s per user...
143.0.5 3. 04 Secure Internet servers/million pop...140.0.5 3. 05 Accessibility of digital content*..
*127.3.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...130.0.53 4. 02 Fixed broadband Internet tariffs, PPP $/month 140.126.42
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*117.3.0 5. 02 Quality of math & science education*..*82.4.0
5. 03 Secondary education gross enrollment rate,%132.38.0 5. 04 Adult literacy rate%..%126.64.5 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...141.39.4 6. 02 Individuals using Internet%..%142.2.1 6. 03 Households w/personal computer%..
%138.2.9 6. 04 Households w/Internet access%..%136.2.7 6. 05 Fixed broadband Internet subs.//100 pop...
135.0.0 6. 06 Mobile broadband subscriptions/100 pop...130.0.3 6. 07 Use of virtual social networks*..
*102.5.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*106.4.3 7. 02 Capacity for innovation*..
*73.3.5 7. 03 PCT patents, applications/million pop...108.0.0 7. 04 Business-to-business Internet use*..*111.4.4
7. 05 Business-to-consumer Internet use*..*101.4.0 7. 06 Extent of staff training*..*102.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*129.3.0 8. 02 Government Online service Index, 0†1 (best...
110.0.32 8. 03 Gov†t success in ICT promotion*..*113.3.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
182 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...119.85.0 3. 03 Int†l Internet bandwidth, kb/s per user...
129.2.8 3. 04 Secure Internet servers/million pop...134.0.9 3. 05 Accessibility of digital content*..
*119.4.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...112.0.39 4. 02 Fixed broadband Internet tariffs, PPP $/month 130.84.90
4. 03 Internet & telephony competition, 0†2 (best...122.1.13 5th pillar: Skills 5. 01 Quality of educational system*..
*92.3.4 5. 02 Quality of math & science education*..*113.3.2 5. 03 Secondary education gross enrollment rate,%138.34.2
5. 04 Adult literacy rate%..%111.74.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
145.29.2 6. 02 Individuals using Internet%..%134.4.4 6. 03 Households w/personal computer%..%132.4.0 6. 04 Households w/Internet access%..
%120.5.5 6. 05 Fixed broadband Internet subs.//100 pop...142.0.0 6. 06 Mobile broadband subscriptions/100 pop...
112.3.5 6. 07 Use of virtual social networks*..*129.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*133.3.8 7. 02 Capacity for innovation*..*116.3.0 7. 03 PCT patents, applications/million pop...120.0.0
7. 04 Business-to-business Internet use*..*110.4.4 7. 05 Business-to-consumer Internet use*..*126.3.4 7. 06 Extent of staff training*..
*84.3.9 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*101.3.5
8. 02 Government Online service Index, 0†1 (best...127.0.22 8. 03 Gov†t success in ICT promotion*..
*104.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 183 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...47.55 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...93.96.8 3. 03 Int†l Internet bandwidth, kb/s per user...
79.16.4 3. 04 Secure Internet servers/million pop...57.65.7 3. 05 Accessibility of digital content*..
*44.5.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...48.0.17 4. 02 Fixed broadband Internet tariffs, PPP $/month..
82.34.65 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*19.5.0 5. 02 Quality of math & science education*..
*27.4.9 5. 03 Secondary education gross enrollment rate,%108.66.9 5. 04 Adult literacy rate%..%75.93.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...26.141.3 6. 02 Individuals using Internet%..%39.65.8 6. 03 Households w/personal computer%..
%45.66.9 6. 04 Households w/Internet access%..%41.64.7 6. 05 Fixed broadband Internet subs.//100 pop...
68.8.4 6. 06 Mobile broadband subscriptions/100 pop...82.13.4 6. 07 Use of virtual social networks*..
*42.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*33.5.5 7. 02 Capacity for innovation*..
*15.4.9 7. 03 PCT patents, applications/million pop...31.12.5 7. 04 Business-to-business Internet use*..*28.5.6
7. 05 Business-to-consumer Internet use*..*22.5.4 7. 06 Extent of staff training*..*11.5.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*9...5. 4 8. 02 Government Online service Index, 0†1 (best...
20.0.79 8. 03 Gov†t success in ICT promotion*..*9...5. 6 9th pillar: Economic impacts
184 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...143.20.0 3. 03 Int†l Internet bandwidth, kb/s per user...
110.5.3 3. 04 Secure Internet servers/million pop...132.1.0 3. 05 Accessibility of digital content*..
*132.3.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...108.0.36 4. 02 Fixed broadband Internet tariffs, PPP $/month 128.79.59
4. 03 Internet & telephony competition, 0†2 (best...118.1.20 5th pillar: Skills 5. 01 Quality of educational system*..
*122.2.9 5. 02 Quality of math & science education*..*126.2.9 5. 03 Secondary education gross enrollment rate,%120.50.6
5. 04 Adult literacy rate%..%146.33.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
92.98.4 6. 02 Individuals using Internet%..%140.2.2 6. 03 Households w/personal computer%..%121.7.7 6. 04 Households w/Internet access%..
%137.2.5 6. 05 Fixed broadband Internet subs.//100 pop...138.0.0 6. 06 Mobile broadband subscriptions/100 pop...
124.0.7 6. 07 Use of virtual social networks*..*130.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*84.4.5 7. 02 Capacity for innovation*..*104.3.2 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*85.4.7 7. 05 Business-to-consumer Internet use*..*117.3.6 7. 06 Extent of staff training*..
*135.3.1 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*64.4.1
8. 02 Government Online service Index, 0†1 (best...110.0.32 8. 03 Gov†t success in ICT promotion*..
*43.4.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 185 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...30.43 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
3...625.8 3. 04 Secure Internet servers/million pop...9..1, 627.8 3. 05 Accessibility of digital content*..
*11.6.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...132.0.54 4. 02 Fixed broadband Internet tariffs, PPP $/month..
42.24.81 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*8...5. 3 5. 02 Quality of math & science education*..
*8...5. 5 5. 03 Secondary education gross enrollment rate%..%57.95.0 5. 04 Adult literacy rate%..
6. 01 Mobile phone subscriptions/100 pop...39.127.0 6. 02 Individuals using Internet%..%36.70.0 6. 03 Households w/personal computer%..
%30.78.0 6. 04 Households w/Internet access%..%24.77.0 6. 05 Fixed broadband Internet subs.//100 pop...
14.32.0 6. 06 Mobile broadband subscriptions/100 pop...45.35.3 6. 07 Use of virtual social networks*..
*7...6. 4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*31.5.5 7. 02 Capacity for innovation*..
*47.3.8 7. 03 PCT patents, applications/million pop...33.10.2 7. 04 Business-to-business Internet use*..*12.5.9
7. 05 Business-to-consumer Internet use*..*43.5.0 7. 06 Extent of staff training*..*35.4.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*4...5. 7 8. 02 Government Online service Index, 0†1 (best...
41.0.61 8. 03 Gov†t success in ICT promotion*..*5...5. 8 9th pillar: Economic impacts
186 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...136.62.0 3. 03 Int†l Internet bandwidth, kb/s per user...
127.3.0 3. 04 Secure Internet servers/million pop...120.1.8 3. 05 Accessibility of digital content*..
*126.3.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...105.0.36 4. 02 Fixed broadband Internet tariffs, PPP $/month 108.48.94
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*136.2.6 5. 02 Quality of math & science education*..*133.2.7
5. 03 Secondary education gross enrollment rate,%144.26.8 5. 04 Adult literacy rate%..%130.58.6 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...83.106.0 6. 02 Individuals using Internet%..%130.5.4 6. 03 Households w/personal computer%..
%134.3.7 6. 04 Households w/Internet access%..%130.3.4 6. 05 Fixed broadband Internet subs.//100 pop...
122.0.2 6. 06 Mobile broadband subscriptions/100 pop...110.3.6 6. 07 Use of virtual social networks*..
*124.4.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*109.4.2 7. 02 Capacity for innovation*..
*137.2.6 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*86.4.7
7. 05 Business-to-consumer Internet use*..*136.3.1 7. 06 Extent of staff training*..*148.2.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*136.2.8 8. 02 Government Online service Index, 0†1 (best...
143.0.08 8. 03 Gov†t success in ICT promotion*..*132.3.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 187 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...48.57 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
80.16.1 3. 04 Secure Internet servers/million pop...46.134.7 3. 05 Accessibility of digital content*..
*76.5.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...50.0.18 4. 02 Fixed broadband Internet tariffs, PPP $/month..
29.21.32 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*37.4.3 5. 02 Quality of math & science education*..
*43.4.5 5. 03 Secondary education gross enrollment rate%..%55.95.9 5. 04 Adult literacy rate%..%94.88.8 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...52.119.9 6. 02 Individuals using Internet%..%80.41.4 6. 03 Households w/personal computer%..
%71.40.6 6. 04 Households w/Internet access%..%65.42.0 6. 05 Fixed broadband Internet subs.//100 pop...
54.11.2 6. 06 Mobile broadband subscriptions/100 pop...67.22.9 6. 07 Use of virtual social networks*..
*69.5.7 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*52.5.0 7. 02 Capacity for innovation*..
*72.3.5 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*60.5.0
7. 05 Business-to-consumer Internet use*..*99.4.0 7. 06 Extent of staff training*..*38.4.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*31.4.6 8. 02 Government Online service Index, 0†1 (best...
86.0.43 8. 03 Gov†t success in ICT promotion*..*35.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
188 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...48.57 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
81.15.7 3. 04 Secure Internet servers/million pop...71.28.1 3. 05 Accessibility of digital content*..
*94.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...129.0.52 4. 02 Fixed broadband Internet tariffs, PPP $/month..
57.28.53 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*119.3.0 5. 02 Quality of math & science education*..
*131.2.7 5. 03 Secondary education gross enrollment rate%..%88.84.1 5. 04 Adult literacy rate%..%72.93.5 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...112.83.4 6. 02 Individuals using Internet%..%85.38.4 6. 03 Households w/personal computer%..
%83.32.2 6. 04 Households w/Internet access%..%79.26.0 6. 05 Fixed broadband Internet subs.//100 pop...
59.10.5 6. 06 Mobile broadband subscriptions/100 pop...87.9.8 6. 07 Use of virtual social networks*..
*86.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*64.4.8 7. 02 Capacity for innovation*..
*75.3.5 7. 03 PCT patents, applications/million pop...59.1.7 7. 04 Business-to-business Internet use*..*64.4.9
7. 05 Business-to-consumer Internet use*..*76.4.4 7. 06 Extent of staff training*..*72.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*76.3.9 8. 02 Government Online service Index, 0†1 (best...
28.0.73 8. 03 Gov†t success in ICT promotion*..*81.4.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 189 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...104.90 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...85.98.0 3. 03 Int†l Internet bandwidth, kb/s per user...
23.94.2 3. 04 Secure Internet servers/million pop...77.23.0 3. 05 Accessibility of digital content*..
*52.5.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...82.0.29 4. 02 Fixed broadband Internet tariffs, PPP $/month..
26.20.47 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*115.3.0 5. 02 Quality of math & science education*..
*74.4.1 5. 03 Secondary education gross enrollment rate%..%99.74.6 5. 04 Adult literacy rate%..%39.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...87.102.0 6. 02 Individuals using Internet%..%77.43.4 6. 03 Households w/personal computer%..
%68.44.5 6. 04 Households w/Internet access%..%65.42.0 6. 05 Fixed broadband Internet subs.//100 pop...
53.11.9 6. 06 Mobile broadband subscriptions/100 pop...102.5.1 6. 07 Use of virtual social networks*..
*82.5.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*124.4.0 7. 02 Capacity for innovation*..
*134.2.7 7. 03 PCT patents, applications/million pop...73.0.7 7. 04 Business-to-business Internet use*..*99.4.5
7. 05 Business-to-consumer Internet use*..*94.4.1 7. 06 Extent of staff training*..*126.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*90.3.7 8. 02 Government Online service Index, 0†1 (best...
61.0.52 8. 03 Gov†t success in ICT promotion*..*82.4.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
190 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...113.91.3 3. 03 Int†l Internet bandwidth, kb/s per user...
22.94.3 3. 04 Secure Internet servers/million pop...84.19.3 3. 05 Accessibility of digital content*..
*72.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...24.0.10 4. 02 Fixed broadband Internet tariffs, PPP $/month...
5...14.01 4. 03 Internet & telephony competition, 0†2 (best...95.1.56 5th pillar: Skills
5. 01 Quality of educational system*..*137.2.6 5. 02 Quality of math & science education*..*68.4.1
5. 03 Secondary education gross enrollment rate%..%25.103.5 5. 04 Adult literacy rate%..%54.97.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...47.120.7 6. 02 Individuals using Internet%..%110.16.4 6. 03 Households w/personal computer%..
%84.30.3 6. 04 Households w/Internet access%..%96.14.0 6. 05 Fixed broadband Internet subs.//100 pop...
88.3.8 6. 06 Mobile broadband subscriptions/100 pop...75.18.4 6. 07 Use of virtual social networks*..
*75.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*79.4.6 7. 02 Capacity for innovation*..
*107.3.1 7. 03 PCT patents, applications/million pop...87.0.3 7. 04 Business-to-business Internet use*..*88.4.6
7. 05 Business-to-consumer Internet use*..*81.4.3 7. 06 Extent of staff training*..*73.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*95.3.7 8. 02 Government Online service Index, 0†1 (best...
45.0.59 8. 03 Gov†t success in ICT promotion*..*103.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 191 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...83.79 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
37.60.6 3. 04 Secure Internet servers/million pop...67.30.6 3. 05 Accessibility of digital content*..
*57.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...127.0.51 4. 02 Fixed broadband Internet tariffs, PPP $/month..
89.36.65 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*35.4.4 5. 02 Quality of math & science education*..
*23.4.9 5. 03 Secondary education gross enrollment rate%..%69.90.9 5. 04 Adult literacy rate%..%44.98.5 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...5...181.3 6. 02 Individuals using Internet%..%52.56.8 6. 03 Households w/personal computer%..
%63.51.3 6. 04 Households w/Internet access%..%50.55.0 6. 05 Fixed broadband Internet subs.//100 pop...
67.8.4 6. 06 Mobile broadband subscriptions/100 pop...60.27.5 6. 07 Use of virtual social networks*..
*31.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*89.4.5 7. 02 Capacity for innovation*..
*59.3.6 7. 03 PCT patents, applications/million pop...51.3.2 7. 04 Business-to-business Internet use*..*71.4.8
7. 05 Business-to-consumer Internet use*..*67.4.6 7. 06 Extent of staff training*..*63.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*44.4.4 8. 02 Government Online service Index, 0†1 (best...
64.0.51 8. 03 Gov†t success in ICT promotion*..*64.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
192 The Global Information technology Report 2014 Notes: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
Following a correction on the data for indicators 8. 02 â€oegovernment online service Index†and 10.04 â€oee-participation Indexâ€, the country profile for Morocco has been
1. 07 Software piracy rate,%software installed...62.66 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
85.14.9 3. 04 Secure Internet servers/million pop...109.3.6 3. 05 Accessibility of digital content*..
*99.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...110.0.38 4. 02 Fixed broadband Internet tariffs, PPP $/month..
27.20.64 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*110.3.1 5. 02 Quality of math & science education*..
*52.4.3 5. 03 Secondary education gross enrollment rate,%104.68.9 5. 04 Adult literacy rate%..%124.67.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...50.120.0 6. 02 Individuals using Internet%..%57.55.0 6. 03 Households w/personal computer%..
%69.43.1 6. 04 Households w/Internet access%..%71.38.9 6. 05 Fixed broadband Internet subs.//100 pop...
97.2.1 6. 06 Mobile broadband subscriptions/100 pop...86.10.1 6. 07 Use of virtual social networks*..
*87.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*95.4.4 7. 02 Capacity for innovation*..
*129.2.8 7. 03 PCT patents, applications/million pop...78.0.5 7. 04 Business-to-business Internet use*..*115.4.3
7. 05 Business-to-consumer Internet use*..*106.3.9 7. 06 Extent of staff training*..*96.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*51.4.3 8. 02 Government Online service Index, 0†1 (best...
53.0.5 8. 03 Gov†t success in ICT promotion*..*59.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 193 Notes: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...62.66 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
85.14.9 3. 04 Secure Internet servers/million pop...109.3.6 3. 05 Accessibility of digital content*..
*99.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...110.0.38 4. 02 Fixed broadband Internet tariffs, PPP $/month..
27.20.64 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*110.3.1 5. 02 Quality of math & science education*..
*52.4.3 5. 03 Secondary education gross enrollment rate,%104.68.9 5. 04 Adult literacy rate%..%124.67.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...50.120.0 6. 02 Individuals using Internet%..%57.55.0 6. 03 Households w/personal computer%..
%69.43.1 6. 04 Households w/Internet access%..%71.38.9 6. 05 Fixed broadband Internet subs.//100 pop...
97.2.1 6. 06 Mobile broadband subscriptions/100 pop...86.10.1 6. 07 Use of virtual social networks*..
*87.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*95.4.4 7. 02 Capacity for innovation*..
*129.2.8 7. 03 PCT patents, applications/million pop...78.0.5 7. 04 Business-to-business Internet use*..*115.4.3
7. 05 Business-to-consumer Internet use*..*106.3.9 7. 06 Extent of staff training*..*96.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*51.4.3 8. 02 Government Online service Index, 0†1 (best...
125.0.25 8. 03 Gov†t success in ICT promotion*..*59.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
194 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...n/a n/a 3. 03 Int†l Internet bandwidth, kb/s per user...
140.1.6 3. 04 Secure Internet servers/million pop...124.1.5 3. 05 Accessibility of digital content*..
*125.3.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...76.0.26 4. 02 Fixed broadband Internet tariffs, PPP $/month 133.106.78
4. 03 Internet & telephony competition, 0†2 (best...121.1.17 5th pillar: Skills 5. 01 Quality of educational system*..
*129.2.7 5. 02 Quality of math & science education*..*137.2.6 5. 03 Secondary education gross enrollment rate,%146.25.9
5. 04 Adult literacy rate%..%135.56.1 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
143.36.2 6. 02 Individuals using Internet%..%132.4.8 6. 03 Households w/personal computer%..%127.5.9 6. 04 Households w/Internet access%..
%124.4.7 6. 05 Fixed broadband Internet subs.//100 pop...130.0.1 6. 06 Mobile broadband subscriptions/100 pop...
118.1.8 6. 07 Use of virtual social networks*..*139.4.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*107.4.3 7. 02 Capacity for innovation*..*132.2.8 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*121.4.2 7. 05 Business-to-consumer Internet use*..*116.3.6 7. 06 Extent of staff training*..
*120.3.3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*109.3.4
8. 02 Government Online service Index, 0†1 (best...98.0.37 8. 03 Gov†t success in ICT promotion*..
*92.4.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 195 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...145.2.3 3. 03 Int†l Internet bandwidth, kb/s per user...
95.9.4 3. 04 Secure Internet servers/million pop...146.0.1 3. 05 Accessibility of digital content*..
*121.3.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...n/a n/a
4. 02 Fixed broadband Internet tariffs, PPP $/month 134.108.18 4. 03 Internet & telephony competition, 0†2 (best...
144.0.00 5th pillar: Skills 5. 01 Quality of educational system*..*125.2.7 5. 02 Quality of math & science education*..
*134.2.7 5. 03 Secondary education gross enrollment rate,%122.50.2 5. 04 Adult literacy rate%..%78.92.7 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...148.10.3 6. 02 Individuals using Internet%..%147.1.1 6. 03 Households w/personal computer%..
%142.2.3 6. 04 Households w/Internet access%..%142.1.8 6. 05 Fixed broadband Internet subs.//100 pop...
139.0.0 6. 06 Mobile broadband subscriptions/100 pop...136.0.0 6. 07 Use of virtual social networks*..
*132.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*148.2.7 7. 02 Capacity for innovation*..
*135.2.7 7. 03 PCT patents, applications/million pop...122.0.0 7. 04 Business-to-business Internet use*..*140.3.7
7. 05 Business-to-consumer Internet use*..*133.3.2 7. 06 Extent of staff training*..*146.2.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*133.2.9 8. 02 Government Online service Index, 0†1 (best...
140.0.10 8. 03 Gov†t success in ICT promotion*..*125.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
196 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
122.3.6 3. 04 Secure Internet servers/million pop...82.19.9 3. 05 Accessibility of digital content*..
*106.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...70.0.24 4. 02 Fixed broadband Internet tariffs, PPP $/month 127.78.18
4. 03 Internet & telephony competition, 0†2 (best...100.1.43 5th pillar: Skills 5. 01 Quality of educational system*..
*118.3.0 5. 02 Quality of math & science education*..*128.2.9 5. 03 Secondary education gross enrollment rate,%111.64.8
5. 04 Adult literacy rate%..%95.88.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
98.95.0 6. 02 Individuals using Internet%..%118.12.9 6. 03 Households w/personal computer%..%106.14.3 6. 04 Households w/Internet access%..
%101.13.0 6. 05 Fixed broadband Internet subs.//100 pop...105.1.2 6. 06 Mobile broadband subscriptions/100 pop...
50.33.2 6. 07 Use of virtual social networks*..*85.5.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*58.4.9 7. 02 Capacity for innovation*..*84.3.4 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*50.5.2 7. 05 Business-to-consumer Internet use*..*90.4.2 7. 06 Extent of staff training*..
*69.4.0 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*97.3.6
8. 02 Government Online service Index, 0†1 (best...116.0.30 8. 03 Gov†t success in ICT promotion*..
*93.4.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 197 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...141.35.1 3. 03 Int†l Internet bandwidth, kb/s per user...
141.1.6 3. 04 Secure Internet servers/million pop...116.2.5 3. 05 Accessibility of digital content*..
*118.4.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...12.0.07 4. 02 Fixed broadband Internet tariffs, PPP $/month...
9...14.72 4. 03 Internet & telephony competition, 0†2 (best...101.1.41 5th pillar: Skills
5. 01 Quality of educational system*..*94.3.4 5. 02 Quality of math & science education*..*89.3.8
5. 03 Secondary education gross enrollment rate,%109.65.8 5. 04 Adult literacy rate%..%133.57.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...132.59.6 6. 02 Individuals using Internet%..%122.11.1 6. 03 Households w/personal computer%..
%120.7.8 6. 04 Households w/Internet access%..%126.4.1 6. 05 Fixed broadband Internet subs.//100 pop...
116.0.5 6. 06 Mobile broadband subscriptions/100 pop...65.23.8 6. 07 Use of virtual social networks*..
*134.4.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*128.3.9 7. 02 Capacity for innovation*..
*125.2.9 7. 03 PCT patents, applications/million pop...116.0.0 7. 04 Business-to-business Internet use*..*128.4.0
7. 05 Business-to-consumer Internet use*..*123.3.5 7. 06 Extent of staff training*..*133.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*131.2.9 8. 02 Government Online service Index, 0†1 (best...
122.0.29 8. 03 Gov†t success in ICT promotion*..*118.3.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
198 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...14.27 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
13.172.9 3. 04 Secure Internet servers/million pop...2..2, 803.7 3. 05 Accessibility of digital content*..
*5...6. 4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
106.0.36 4. 02 Fixed broadband Internet tariffs, PPP $/month..69.30.65 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*12.5.2 5. 02 Quality of math & science education*..
*14.5.3 5. 03 Secondary education gross enrollment rate%..%3...128.4 5. 04 Adult literacy rate%..%14.99.0
6. 01 Mobile phone subscriptions/100 pop...54.118.0 6. 02 Individuals using Internet%..%4...93.0 6. 03 Households w/personal computer%..
%1...97.2 6. 04 Households w/Internet access%..%3...94.0 6. 05 Fixed broadband Internet subs./
/100 pop...2...39.8 6. 06 Mobile broadband subscriptions/100 pop...21.61.3 6. 07 Use of virtual social networks*..
*4...6. 6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*22.5.7 7. 02 Capacity for innovation*..
*9...5. 1 7. 03 PCT patents, applications/million pop...9...189.0 7. 04 Business-to-business Internet use*..
*11.5.9 7. 05 Business-to-consumer Internet use*..*4...6. 0 7. 06 Extent of staff training*..
*9...5. 1 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..
*41.4.4 8. 02 Government Online service Index, 0†1 (best...5...0. 96 8. 03 Gov†t success in ICT promotion*..
The Global Information technology Report 2014 199 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...4...22 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...88.97.0 3. 03 Int†l Internet bandwidth, kb/s per user...
56.31.1 3. 04 Secure Internet servers/million pop...14.1,466. 0 3. 05 Accessibility of digital content*..
*32.5.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...138.0.62 4. 02 Fixed broadband Internet tariffs, PPP $/month 113.51.86
4. 03 Internet & telephony competition, 0†2 (best...97.1.53 5th pillar: Skills 5. 01 Quality of educational system*..
*11.5.2 5. 02 Quality of math & science education*..*12.5.4 5. 03 Secondary education gross enrollment rate%..
%4...119.8 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...71.110.4 6. 02 Individuals using Internet%..%8...89.5 6. 03 Households w/personal computer%..
%9...91.2 6. 04 Households w/Internet access%..%12.87.4 6. 05 Fixed broadband Internet subs.//100 pop...
18.27.8 6. 06 Mobile broadband subscriptions/100 pop...17.65.9 6. 07 Use of virtual social networks*..
*18.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*19.5.7 7. 02 Capacity for innovation*..
*21.4.6 7. 03 PCT patents, applications/million pop...22.69.8 7. 04 Business-to-business Internet use*..*19.5.7
7. 05 Business-to-consumer Internet use*..*15.5.7 7. 06 Extent of staff training*..*15.5.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*10.5.3 8. 02 Government Online service Index, 0†1 (best...
21.0.78 8. 03 Gov†t success in ICT promotion*..*23.5.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
200 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...83.79 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
64.24.7 3. 04 Secure Internet servers/million pop...93.10.3 3. 05 Accessibility of digital content*..
*113.4.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...144.0.91 4. 02 Fixed broadband Internet tariffs, PPP $/month 106.48.29
4. 03 Internet & telephony competition, 0†2 (best...65.1.88 5th pillar: Skills 5. 01 Quality of educational system*..
*107.3.1 5. 02 Quality of math & science education*..*118.3.1 5. 03 Secondary education gross enrollment rate,%103.68.9
5. 04 Adult literacy rate%..%109.78.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
107.86.1 6. 02 Individuals using Internet%..%116.13.5 6. 03 Households w/personal computer%..%115.9.9 6. 04 Households w/Internet access%..
%114.7.4 6. 05 Fixed broadband Internet subs.//100 pop...100.1.6 6. 06 Mobile broadband subscriptions/100 pop...
123.1.0 6. 07 Use of virtual social networks*..*131.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*130.3.9 7. 02 Capacity for innovation*..*79.3.4 7. 03 PCT patents, applications/million pop...100.0.1
7. 04 Business-to-business Internet use*..*127.4.0 7. 05 Business-to-consumer Internet use*..*111.3.8 7. 06 Extent of staff training*..
*85.3.8 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*111.3.4
8. 02 Government Online service Index, 0†1 (best...113.0.31 8. 03 Gov†t success in ICT promotion*..
*122.3.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 201 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...91.82 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...95.96.1 3. 03 Int†l Internet bandwidth, kb/s per user...
145.0.3 3. 04 Secure Internet servers/million pop...122.1.7 3. 05 Accessibility of digital content*..
*102.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...51.0.18 4. 02 Fixed broadband Internet tariffs, PPP $/month 120.65.58
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*113.3.1 5. 02 Quality of math & science education*..*117.3.1
5. 03 Secondary education gross enrollment rate,%129.43.8 5. 04 Adult literacy rate%..%128.61.3 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...125.66.8 6. 02 Individuals using Internet%..%94.32.9 6. 03 Households w/personal computer%..
%111.11.4 6. 04 Households w/Internet access%..%110.9.1 6. 05 Fixed broadband Internet subs.//100 pop...
140.0.0 6. 06 Mobile broadband subscriptions/100 pop...74.18.4 6. 07 Use of virtual social networks*..
*72.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*80.4.6 7. 02 Capacity for innovation*..
*80.3.4 7. 03 PCT patents, applications/million pop...114.0.0 7. 04 Business-to-business Internet use*..*93.4.6
7. 05 Business-to-consumer Internet use*..*83.4.3 7. 06 Extent of staff training*..*45.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*66.4.0 8. 02 Government Online service Index, 0†1 (best...
126.0.22 8. 03 Gov†t success in ICT promotion*..*78.4.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
202 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...14.27 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...88.97.0 3. 03 Int†l Internet bandwidth, kb/s per user...
10.187.8 3. 04 Secure Internet servers/million pop...7..1, 878.9 3. 05 Accessibility of digital content*..
*3...6. 4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
25.0.10 4. 02 Fixed broadband Internet tariffs, PPP $/month..77.33.89 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*18.5.0 5. 02 Quality of math & science education*..
*47.4.4 5. 03 Secondary education gross enrollment rate%..%8...113.0 5. 04 Adult literacy rate%..%14.99.0
6. 01 Mobile phone subscriptions/100 pop...57.116.7 6. 02 Individuals using Internet%..%2...95.0 6. 03 Households w/personal computer%..
%5...92.0 6. 04 Households w/Internet access%..%4...93.0 6. 05 Fixed broadband Internet subs./
/100 pop...6...36.3 6. 06 Mobile broadband subscriptions/100 pop...10.84.8 6. 07 Use of virtual social networks*..
*3...6. 6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*8...6. 0
7. 02 Capacity for innovation*..*12.5.0 7. 03 PCT patents, applications/million pop...12.133.6 7. 04 Business-to-business Internet use*..
*8...6. 0 7. 05 Business-to-consumer Internet use*..*8...5. 8 7. 06 Extent of staff training*..
*8...5. 2 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..
*20.4.9 8. 02 Government Online service Index, 0†1 (best...13.0.86 8. 03 Gov†t success in ICT promotion*..
The Global Information technology Report 2014 203 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...53.61 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...86.97.6 3. 03 Int†l Internet bandwidth, kb/s per user...
97.8.9 3. 04 Secure Internet servers/million pop...58.56.1 3. 05 Accessibility of digital content*..
*75.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...44.0.16 4. 02 Fixed broadband Internet tariffs, PPP $/month..
59.29.01 4. 03 Internet & telephony competition, 0†2 (best...69.1.87 5th pillar: Skills 5. 01 Quality of educational system*..
*53.4.0 5. 02 Quality of math & science education*..*87.3.9 5. 03 Secondary education gross enrollment rate%..
%58.94.2 5. 04 Adult literacy rate%..%100.86.9 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...14.159.3 6. 02 Individuals using Internet%..%49.60.0 6. 03 Households w/personal computer%..
%50.62.7 6. 04 Households w/Internet access%..%68.41.9 6. 05 Fixed broadband Internet subs.//100 pop...
95.2.1 6. 06 Mobile broadband subscriptions/100 pop...32.50.9 6. 07 Use of virtual social networks*..
*95.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*53.5.0 7. 02 Capacity for innovation*..
*61.3.6 7. 03 PCT patents, applications/million pop...71.1.0 7. 04 Business-to-business Internet use*..*65.4.9
7. 05 Business-to-consumer Internet use*..*89.4.2 7. 06 Extent of staff training*..*33.4.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*13.5.2 8. 02 Government Online service Index, 0†1 (best...
35.0.67 8. 03 Gov†t success in ICT promotion*..*15.5.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
204 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...98.86 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...111.92.0 3. 03 Int†l Internet bandwidth, kb/s per user...
100.7.3 3. 04 Secure Internet servers/million pop...129.1.3 3. 05 Accessibility of digital content*..
*93.4.7 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...10.0.06 4. 02 Fixed broadband Internet tariffs, PPP $/month..
62.29.20 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*84.3.5 5. 02 Quality of math & science education*..
*104.3.4 5. 03 Secondary education gross enrollment rate,%135.36.6 5. 04 Adult literacy rate%..%136.54.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...124.67.1 6. 02 Individuals using Internet%..%124.10.0 6. 03 Households w/personal computer%..
%108.12.5 6. 04 Households w/Internet access%..%112.8.3 6. 05 Fixed broadband Internet subs.//100 pop...
115.0.5 6. 06 Mobile broadband subscriptions/100 pop...125.0.7 6. 07 Use of virtual social networks*..
*116.5.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*81.4.6 7. 02 Capacity for innovation*..
*49.3.7 7. 03 PCT patents, applications/million pop...112.0.0 7. 04 Business-to-business Internet use*..*104.4.4
7. 05 Business-to-consumer Internet use*..*103.4.0 7. 06 Extent of staff training*..*128.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*128.3.0 8. 02 Government Online service Index, 0†1 (best...
98.0.37 8. 03 Gov†t success in ICT promotion*..*91.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 205 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...72.72 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...97.96.0 3. 03 Int†l Internet bandwidth, kb/s per user...
57.30.8 3. 04 Secure Internet servers/million pop...47.133.9 3. 05 Accessibility of digital content*..
*58.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...66.0.22 4. 02 Fixed broadband Internet tariffs, PPP $/month..
37.23.92 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*75.3.6 5. 02 Quality of math & science education*..
*114.3.2 5. 03 Secondary education gross enrollment rate%..%89.84.0 5. 04 Adult literacy rate%..%68.94.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...7...178.0 6. 02 Individuals using Internet%..%72.45.2 6. 03 Households w/personal computer%..
%75.38.3 6. 04 Households w/Internet access%..%77.31.6 6. 05 Fixed broadband Internet subs.//100 pop...
72.7.8 6. 06 Mobile broadband subscriptions/100 pop...80.14.3 6. 07 Use of virtual social networks*..
*27.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*28.5.6 7. 02 Capacity for innovation*..
*50.3.7 7. 03 PCT patents, applications/million pop...64.1.2 7. 04 Business-to-business Internet use*..*44.5.3
7. 05 Business-to-consumer Internet use*..*25.5.4 7. 06 Extent of staff training*..*43.4.3 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*22.4.9 8. 02 Government Online service Index, 0†1 (best...
77.0.46 8. 03 Gov†t success in ICT promotion*..*22.5.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
206 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...93.83 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...110.94.0 3. 03 Int†l Internet bandwidth, kb/s per user...
92.11.6 3. 04 Secure Internet servers/million pop...91.10.9 3. 05 Accessibility of digital content*..
*109.4.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...62.0.22 4. 02 Fixed broadband Internet tariffs, PPP $/month..
76.32.63 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*138.2.6 5. 02 Quality of math & science education*..
*142.2.3 5. 03 Secondary education gross enrollment rate,%106.67.8 5. 04 Adult literacy rate%..%70.93.9 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...89.101.6 6. 02 Individuals using Internet%..%96.27.1 6. 03 Households w/personal computer%..
%89.24.3 6. 04 Households w/Internet access%..%83.22.8 6. 05 Fixed broadband Internet subs.//100 pop...
104.1.2 6. 06 Mobile broadband subscriptions/100 pop...99.6.0 6. 07 Use of virtual social networks*..
*92.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*103.4.3 7. 02 Capacity for innovation*..
*115.3.0 7. 03 PCT patents, applications/million pop...97.0.1 7. 04 Business-to-business Internet use*..*109.4.4
7. 05 Business-to-consumer Internet use*..*77.4.4 7. 06 Extent of staff training*..*109.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*135.2.8 8. 02 Government Online service Index, 0†1 (best...
80.0.46 8. 03 Gov†t success in ICT promotion*..*127.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 207 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...65.67 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...92.97.0 3. 03 Int†l Internet bandwidth, kb/s per user...
91.13.1 3. 04 Secure Internet servers/million pop...80.21.7 3. 05 Accessibility of digital content*..
*108.4.4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...86.0.30 4. 02 Fixed broadband Internet tariffs, PPP $/month..
65.29.78 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*134.2.7 5. 02 Quality of math & science education*..
*140.2.4 5. 03 Secondary education gross enrollment rate%..%70.90.7 5. 04 Adult literacy rate%..%91.89.6 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...93.98.0 6. 02 Individuals using Internet%..%86.38.2 6. 03 Households w/personal computer%..
%85.29.9 6. 04 Households w/Internet access%..%89.20.2 6. 05 Fixed broadband Internet subs.//100 pop...
82.4.7 6. 06 Mobile broadband subscriptions/100 pop...114.2.9 6. 07 Use of virtual social networks*..
*100.5.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*83.4.6 7. 02 Capacity for innovation*..
*106.3.1 7. 03 PCT patents, applications/million pop...90.0.3 7. 04 Business-to-business Internet use*..*73.4.8
7. 05 Business-to-consumer Internet use*..*72.4.5 7. 06 Extent of staff training*..*90.3.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*114.3.3 8. 02 Government Online service Index, 0†1 (best...
61.0.52 8. 03 Gov†t success in ICT promotion*..*107.3.8 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
208 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...70.70 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
86.14.3 3. 04 Secure Internet servers/million pop...96.8.6 3. 05 Accessibility of digital content*..
*73.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...83.0.29 4. 02 Fixed broadband Internet tariffs, PPP $/month..
95.39.32 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*40.4.3 5. 02 Quality of math & science education*..
*96.3.7 5. 03 Secondary education gross enrollment rate%..%87.84.6 5. 04 Adult literacy rate%..%64.95.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...79.106.5 6. 02 Individuals using Internet%..%87.36.2 6. 03 Households w/personal computer%..
%100.16.9 6. 04 Households w/Internet access%..%92.18.9 6. 05 Fixed broadband Internet subs.//100 pop...
94.2.2 6. 06 Mobile broadband subscriptions/100 pop...108.3.8 6. 07 Use of virtual social networks*..
*22.6.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*40.5.2 7. 02 Capacity for innovation*..
*48.3.8 7. 03 PCT patents, applications/million pop...84.0.3 7. 04 Business-to-business Internet use*..*51.5.2
7. 05 Business-to-consumer Internet use*..*63.4.7 7. 06 Extent of staff training*..*27.4.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*80.3.8 8. 02 Government Online service Index, 0†1 (best...
67.0.50 8. 03 Gov†t success in ICT promotion*..*70.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 209 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...40.53 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...52.99.5 3. 03 Int†l Internet bandwidth, kb/s per user...
31.70.6 3. 04 Secure Internet servers/million pop...31.299.6 3. 05 Accessibility of digital content*..
*70.5.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...56.0.19 4. 02 Fixed broadband Internet tariffs, PPP $/month..
71.31.60 4. 03 Internet & telephony competition, 0†2 (best...82.1.77 5th pillar: Skills 5. 01 Quality of educational system*..
*87.3.4 5. 02 Quality of math & science education*..*69.4.1 5. 03 Secondary education gross enrollment rate%..
%48.97.4 5. 04 Adult literacy rate%..%5...99.7 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...28.140.3 6. 02 Individuals using Internet%..%41.65.0 6. 03 Households w/personal computer%..
%37.73.0 6. 04 Households w/Internet access%..%34.70.0 6. 05 Fixed broadband Internet subs.//100 pop...
42.15.5 6. 06 Mobile broadband subscriptions/100 pop...19.63.5 6. 07 Use of virtual social networks*..
*109.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*114.4.1 7. 02 Capacity for innovation*..
*62.3.6 7. 03 PCT patents, applications/million pop...38.6.9 7. 04 Business-to-business Internet use*..*103.4.4
7. 05 Business-to-consumer Internet use*..*46.4.9 7. 06 Extent of staff training*..*75.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*125.3.1 8. 02 Government Online service Index, 0†1 (best...
55.0.54 8. 03 Gov†t success in ICT promotion*..*123.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
210 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...25.40 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
8...195.5 3. 04 Secure Internet servers/million pop...37.240.9 3. 05 Accessibility of digital content*..
*27.6.0 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...85.0.29 4. 02 Fixed broadband Internet tariffs, PPP $/month..
78.33.97 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*58.4.0 5. 02 Quality of math & science education*..
*73.4.1 5. 03 Secondary education gross enrollment rate%..%12.109.7 5. 04 Adult literacy rate%..%63.95.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...58.116.1 6. 02 Individuals using Internet%..%42.64.0 6. 03 Households w/personal computer%..
%46.66.0 6. 04 Households w/Internet access%..%47.61.0 6. 05 Fixed broadband Internet subs.//100 pop...
33.22.5 6. 06 Mobile broadband subscriptions/100 pop...52.32.8 6. 07 Use of virtual social networks*..
*52.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*29.5.5 7. 02 Capacity for innovation*..
*42.3.9 7. 03 PCT patents, applications/million pop...30.12.7 7. 04 Business-to-business Internet use*..*29.5.6
7. 05 Business-to-consumer Internet use*..*32.5.2 7. 06 Extent of staff training*..*70.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*36.4.5 8. 02 Government Online service Index, 0†1 (best...
38.0.65 8. 03 Gov†t success in ICT promotion*..*24.5.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 211 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...29.42 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...135.68.4 3. 03 Int†l Internet bandwidth, kb/s per user...
15.136.9 3. 04 Secure Internet servers/million pop...49.112.9 3. 05 Accessibility of digital content*..
*30.5.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...n/a n/a
4. 02 Fixed broadband Internet tariffs, PPP $/month. n/a n/a 4. 03 Internet & telephony competition, 0†2 (best...
n/a n/a 5th pillar: Skills 5. 01 Quality of educational system*..*63.3.8 5. 02 Quality of math & science education*..
*93.3.8 5. 03 Secondary education gross enrollment rate%..%94.78.3 5. 04 Adult literacy rate%..%86.90.3 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...113.82.6 6. 02 Individuals using Internet%..%63.51.4 6. 03 Households w/personal computer%..
%54.60.0 6. 04 Households w/Internet access%..%48.60.7 6. 05 Fixed broadband Internet subs.//100 pop...
43.15.5 6. 06 Mobile broadband subscriptions/100 pop...81.13.7 6. 07 Use of virtual social networks*..
*15.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*23.5.7 7. 02 Capacity for innovation*..
*25.4.4 7. 03 PCT patents, applications/million pop...n/a n/a 7. 04 Business-to-business Internet use*..
*39.5.3 7. 05 Business-to-consumer Internet use*..*39.5.1 7. 06 Extent of staff training*..*18.4.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*73.3.9 8. 02 Government Online service Index, 0†1 (best...
n/a n/a 8. 03 Gov†t success in ICT promotion*..*73.4.3 9th pillar: Economic impacts
212 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...38.50 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
50.33.2 3. 04 Secure Internet servers/million pop...44.140.9 3. 05 Accessibility of digital content*..
*18.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...37.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month 112.49.90
4. 03 Internet & telephony competition, 0†2 (best...128.0.93 5th pillar: Skills 5. 01 Quality of educational system*..
*4...5. 8 5. 02 Quality of math & science education*..*6...5. 6 5. 03 Secondary education gross enrollment rate%..
%9...111.6 5. 04 Adult literacy rate%..%57.96.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...40.126.9 6. 02 Individuals using Internet%..%9...88.1 6. 03 Households w/personal computer%..
%8...91.5 6. 04 Households w/Internet access%..%10.88.1 6. 05 Fixed broadband Internet subs.//100 pop...
60.10.5 6. 06 Mobile broadband subscriptions/100 pop...20.61.8 6. 07 Use of virtual social networks*..
*17.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*10.5.9 7. 02 Capacity for innovation*..
*17.4.8 7. 03 PCT patents, applications/million pop...46.5.4 7. 04 Business-to-business Internet use*..*16.5.9
7. 05 Business-to-consumer Internet use*..*37.5.1 7. 06 Extent of staff training*..*5...5. 3
8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*2...5. 9
8. 02 Government Online service Index, 0†1 (best...27.0.74 8. 03 Gov†t success in ICT promotion*..
The Global Information technology Report 2014 213 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...58.63 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
16.114.9 3. 04 Secure Internet servers/million pop...56.66.6 3. 05 Accessibility of digital content*..
*55.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...133.0.54 4. 02 Fixed broadband Internet tariffs, PPP $/month..
13.15.74 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*99.3.3 5. 02 Quality of math & science education*..
*57.4.3 5. 03 Secondary education gross enrollment rate%..%53.96.0 5. 04 Adult literacy rate%..%52.97.7 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...85.105.0 6. 02 Individuals using Internet%..%64.50.0 6. 03 Households w/personal computer%..
%57.57.0 6. 04 Households w/Internet access%..%51.54.0 6. 05 Fixed broadband Internet subs.//100 pop...
41.16.2 6. 06 Mobile broadband subscriptions/100 pop...61.27.0 6. 07 Use of virtual social networks*..
*84.5.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*104.4.3 7. 02 Capacity for innovation*..
*90.3.4 7. 03 PCT patents, applications/million pop...56.2.1 7. 04 Business-to-business Internet use*..*84.4.7
7. 05 Business-to-consumer Internet use*..*42.5.0 7. 06 Extent of staff training*..*134.3.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*103.3.5 8. 02 Government Online service Index, 0†1 (best...
61.0.52 8. 03 Gov†t success in ICT promotion*..*114.3.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
214 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...58.63 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...101.95.0 3. 03 Int†l Internet bandwidth, kb/s per user...
51.32.8 3. 04 Secure Internet servers/million pop...64.38.9 3. 05 Accessibility of digital content*..
*66.5.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...34.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month..
17.16.29 4. 03 Internet & telephony competition, 0†2 (best...98.1.50 5th pillar: Skills 5. 01 Quality of educational system*..
*85.3.5 5. 02 Quality of math & science education*..*56.4.3 5. 03 Secondary education gross enrollment rate%..
%86.84.9 5. 04 Adult literacy rate%..%10.99.6 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...4...182.9 6. 02 Individuals using Internet%..%62.53.3 6. 03 Households w/personal computer%..
%52.60.6 6. 04 Households w/Internet access%..%54.51.2 6. 05 Fixed broadband Internet subs.//100 pop...
45.14.5 6. 06 Mobile broadband subscriptions/100 pop...27.52.8 6. 07 Use of virtual social networks*..
*89.5.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*126.3.9 7. 02 Capacity for innovation*..
*64.3.5 7. 03 PCT patents, applications/million pop...39.6.8 7. 04 Business-to-business Internet use*..*94.4.6
7. 05 Business-to-consumer Internet use*..*49.4.9 7. 06 Extent of staff training*..*88.3.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*102.3.5 8. 02 Government Online service Index, 0†1 (best...
37.0.66 8. 03 Gov†t success in ICT promotion*..*100.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 215 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...80.98.4 3. 03 Int†l Internet bandwidth, kb/s per user...
103.6.6 3. 04 Secure Internet servers/million pop...119.2.0 3. 05 Accessibility of digital content*..
*105.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...95.0.33 4. 02 Fixed broadband Internet tariffs, PPP $/month 143.398.83
4. 03 Internet & telephony competition, 0†2 (best...62.1.93 5th pillar: Skills 5. 01 Quality of educational system*..
*51.4.1 5. 02 Quality of math & science education*..*70.4.1 5. 03 Secondary education gross enrollment rate,%139.31.8
5. 04 Adult literacy rate%..%120.71.1 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
137.49.7 6. 02 Individuals using Internet%..%127.8.0 6. 03 Households w/personal computer%..%140.2.4 6. 04 Households w/Internet access%..
%138.2.4 6. 05 Fixed broadband Internet subs.//100 pop...137.0.0 6. 06 Mobile broadband subscriptions/100 pop...
113.3.2 6. 07 Use of virtual social networks*..*120.4.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*61.4.8 7. 02 Capacity for innovation*..*76.3.5 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*90.4.6 7. 05 Business-to-consumer Internet use*..*102.4.0 7. 06 Extent of staff training*..
*71.4.0 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*5...5. 6
8. 02 Government Online service Index, 0†1 (best...105.0.34 8. 03 Gov†t success in ICT promotion*..
*1...6. 2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
216 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...39.51 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...55.99.4 3. 03 Int†l Internet bandwidth, kb/s per user...
49.36.4 3. 04 Secure Internet servers/million pop...68.30.5 3. 05 Accessibility of digital content*..
*39.5.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...52.0.18 4. 02 Fixed broadband Internet tariffs, PPP $/month 110.49.34
4. 03 Internet & telephony competition, 0†2 (best...104.1.33 5th pillar: Skills 5. 01 Quality of educational system*..
*39.4.3 5. 02 Quality of math & science education*..*64.4.2 5. 03 Secondary education gross enrollment rate%..
%7...114.3 5. 04 Adult literacy rate%..%98.87.2 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...2...187.4 6. 02 Individuals using Internet%..%60.54.0 6. 03 Households w/personal computer%..
%43.67.7 6. 04 Households w/Internet access%..%38.66.6 6. 05 Fixed broadband Internet subs.//100 pop...
73.6.9 6. 06 Mobile broadband subscriptions/100 pop...36.45.4 6. 07 Use of virtual social networks*..
*33.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*15.5.8 7. 02 Capacity for innovation*..
*43.3.9 7. 03 PCT patents, applications/million pop...42.6.2 7. 04 Business-to-business Internet use*..*23.5.7
7. 05 Business-to-consumer Internet use*..*54.4.8 7. 06 Extent of staff training*..*57.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*8...5. 4 8. 02 Government Online service Index, 0†1 (best...
19.0.80 8. 03 Gov†t success in ICT promotion*..*7...5. 7 9th pillar: Economic impacts
The Global Information technology Report 2014 217 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...81.78 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...114.91.1 3. 03 Int†l Internet bandwidth, kb/s per user...
114.5.1 3. 04 Secure Internet servers/million pop...118.2.1 3. 05 Accessibility of digital content*..
*96.4.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...91.0.32 4. 02 Fixed broadband Internet tariffs, PPP $/month 121.65.73
4. 03 Internet & telephony competition, 0†2 (best...84.1.76 5th pillar: Skills 5. 01 Quality of educational system*..
*80.3.5 5. 02 Quality of math & science education*..*79.4.0 5. 03 Secondary education gross enrollment rate,%130.41.0
5. 04 Adult literacy rate%..%139.49.7 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
111.83.6 6. 02 Individuals using Internet%..%103.19.2 6. 03 Households w/personal computer%..%116.9.0 6. 04 Households w/Internet access%..
%119.5.8 6. 05 Fixed broadband Internet subs.//100 pop...112.0.7 6. 06 Mobile broadband subscriptions/100 pop...
111.3.6 6. 07 Use of virtual social networks*..*73.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*39.5.2 7. 02 Capacity for innovation*..*92.3.3 7. 03 PCT patents, applications/million pop...102.0.1
7. 04 Business-to-business Internet use*..*83.4.7 7. 05 Business-to-consumer Internet use*..*92.4.2 7. 06 Extent of staff training*..
*125.3.3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*91.3.7
8. 02 Government Online service Index, 0†1 (best...104.0.35 8. 03 Gov†t success in ICT promotion*..
*47.4.6 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
218 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...72.72 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...49.99.7 3. 03 Int†l Internet bandwidth, kb/s per user...
24.89.6 3. 04 Secure Internet servers/million pop...65.37.7 3. 05 Accessibility of digital content*..
*101.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...68.0.23 4. 02 Fixed broadband Internet tariffs, PPP $/month..
97.40.27 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*111.3.1 5. 02 Quality of math & science education*..
*55.4.3 5. 03 Secondary education gross enrollment rate%..%67.91.7 5. 04 Adult literacy rate%..%48.98.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...55.117.9 6. 02 Individuals using Internet%..%67.48.1 6. 03 Households w/personal computer%..
%53.60.3 6. 04 Households w/Internet access%..%57.48.0 6. 05 Fixed broadband Internet subs.//100 pop...
50.12.9 6. 06 Mobile broadband subscriptions/100 pop...30.52.1 6. 07 Use of virtual social networks*..
*112.5.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*137.3.7 7. 02 Capacity for innovation*..
*133.2.8 7. 03 PCT patents, applications/million pop...55.2.2 7. 04 Business-to-business Internet use*..*112.4.3
7. 05 Business-to-consumer Internet use*..*109.3.8 7. 06 Extent of staff training*..*140.3.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*120.3.2 8. 02 Government Online service Index, 0†1 (best...
48.0.58 8. 03 Gov†t success in ICT promotion*..*128.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 219 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...81.98.0 3. 03 Int†l Internet bandwidth, kb/s per user...
82.15.6 3. 04 Secure Internet servers/million pop...17.1,127. 8 3. 05 Accessibility of digital content*..
*83.4.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...139.0.62 4. 02 Fixed broadband Internet tariffs, PPP $/month..
67.30.53 4. 03 Internet & telephony competition, 0†2 (best...124.1.08 5th pillar: Skills 5. 01 Quality of educational system*..
*31.4.4 5. 02 Quality of math & science education*..*65.4.2 5. 03 Secondary education gross enrollment rate%..
%31.101.3 5. 04 Adult literacy rate%..%81.91.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...22.147.8 6. 02 Individuals using Internet%..%69.47.1 6. 03 Households w/personal computer%..
%62.51.9 6. 04 Households w/Internet access%..%67.41.9 6. 05 Fixed broadband Internet subs.//100 pop...
55.11.0 6. 06 Mobile broadband subscriptions/100 pop...89.8.6 6. 07 Use of virtual social networks*..
*94.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*55.4.9 7. 02 Capacity for innovation*..
*58.3.6 7. 03 PCT patents, applications/million pop...27.25.7 7. 04 Business-to-business Internet use*..*96.4.6
7. 05 Business-to-consumer Internet use*..*113.3.7 7. 06 Extent of staff training*..*39.4.4 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*38.4.5 8. 02 Government Online service Index, 0†1 (best...
106.0.33 8. 03 Gov†t success in ICT promotion*..*42.4.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
220 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...132.70.0 3. 03 Int†l Internet bandwidth, kb/s per user...
137.2.0 3. 04 Secure Internet servers/million pop...138.0.7 3. 05 Accessibility of digital content*..
*137.3.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...2...0. 00
4. 02 Fixed broadband Internet tariffs, PPP $/month 125.70.50 4. 03 Internet & telephony competition, 0†2 (best...
129.0.92 5th pillar: Skills 5. 01 Quality of educational system*..*116.3.0 5. 02 Quality of math & science education*..
*135.2.6 5. 03 Secondary education gross enrollment rate,%136.35.0 5. 04 Adult literacy rate%..%141.43.3 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...142.37.0 6. 02 Individuals using Internet%..%145.1.3 6. 03 Households w/personal computer%..
%146.0.8 6. 04 Households w/Internet access%..%n/a n/a 6. 05 Fixed broadband Internet subs./
/100 pop...147.0.0 6. 06 Mobile broadband subscriptions/100 pop...n/a n/a 6. 07 Use of virtual social networks*..
*135.4.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*134.3.8 7. 02 Capacity for innovation*..
*131.2.8 7. 03 PCT patents, applications/million pop...109.0.0 7. 04 Business-to-business Internet use*..*131.4.0
7. 05 Business-to-consumer Internet use*..*143.2.7 7. 06 Extent of staff training*..*117.3.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*75.3.9 8. 02 Government Online service Index, 0†1 (best...
135.0.17 8. 03 Gov†t success in ICT promotion*..*87.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 221 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...18.33 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
4...387.6 3. 04 Secure Internet servers/million pop...25.635.3 3. 05 Accessibility of digital content*..
*9...6. 3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
46.0.16 4. 02 Fixed broadband Internet tariffs, PPP $/month..85.35.55 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*3...5. 8 5. 02 Quality of math & science education*..
*1...6. 3 5. 03 Secondary education gross enrollment rate%..%17.107.0 5. 04 Adult literacy rate%..
6. 01 Mobile phone subscriptions/100 pop...18.152.1 6. 02 Individuals using Internet%..%29.74.2 6. 03 Households w/personal computer%..
%11.87.7 6. 04 Households w/Internet access%..%11.87.7 6. 05 Fixed broadband Internet subs.//100 pop...
21.25.4 6. 06 Mobile broadband subscriptions/100 pop...1...126.1 6. 07 Use of virtual social networks*..
*14.6.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*13.5.8 7. 02 Capacity for innovation*..
*18.4.8 7. 03 PCT patents, applications/million pop...13.120.9 7. 04 Business-to-business Internet use*..*14.5.9
7. 05 Business-to-consumer Internet use*..*29.5.3 7. 06 Extent of staff training*..*6...5. 2
8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*3...5. 9
8. 02 Government Online service Index, 0†1 (best...1...1. 00 8. 03 Gov†t success in ICT promotion*..
222 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...25.40 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
93.11.5 3. 04 Secure Internet servers/million pop...38.226.2 3. 05 Accessibility of digital content*..
*35.5.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...73.0.25 4. 02 Fixed broadband Internet tariffs, PPP $/month..
93.38.16 4. 03 Internet & telephony competition, 0†2 (best...78.1.82 5th pillar: Skills 5. 01 Quality of educational system*..
*130.2.7 5. 02 Quality of math & science education*..*86.3.9 5. 03 Secondary education gross enrollment rate%..
%60.93.5 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...65.111.9 6. 02 Individuals using Internet%..%22.80.0 6. 03 Households w/personal computer%..
%29.79.0 6. 04 Households w/Internet access%..%25.76.6 6. 05 Fixed broadband Internet subs.//100 pop...
44.14.7 6. 06 Mobile broadband subscriptions/100 pop...41.39.7 6. 07 Use of virtual social networks*..
*58.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*72.4.7 7. 02 Capacity for innovation*..
*96.3.2 7. 03 PCT patents, applications/million pop...35.8.8 7. 04 Business-to-business Internet use*..*34.5.5
7. 05 Business-to-consumer Internet use*..*36.5.1 7. 06 Extent of staff training*..*91.3.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*117.3.3 8. 02 Government Online service Index, 0†1 (best...
66.0.50 8. 03 Gov†t success in ICT promotion*..*121.3.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 223 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...33.46 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...49.99.7 3. 03 Int†l Internet bandwidth, kb/s per user...
21.94.7 3. 04 Secure Internet servers/million pop...26.556.8 3. 05 Accessibility of digital content*..
*33.5.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...84.0.29 4. 02 Fixed broadband Internet tariffs, PPP $/month 102.41.73
4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar: Skills
5. 01 Quality of educational system*..*55.4.0 5. 02 Quality of math & science education*..*18.5.1
5. 03 Secondary education gross enrollment rate%..%43.97.9 5. 04 Adult literacy rate%..%8...99.7 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...74.108.6 6. 02 Individuals using Internet%..%36.70.0 6. 03 Households w/personal computer%..
%31.76.0 6. 04 Households w/Internet access%..%28.74.0 6. 05 Fixed broadband Internet subs.//100 pop...
26.24.3 6. 06 Mobile broadband subscriptions/100 pop...43.37.0 6. 07 Use of virtual social networks*..
*64.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*62.4.8 7. 02 Capacity for innovation*..
*54.3.7 7. 03 PCT patents, applications/million pop...23.58.6 7. 04 Business-to-business Internet use*..*36.5.5
7. 05 Business-to-consumer Internet use*..*45.4.9 7. 06 Extent of staff training*..*105.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*106.3.5 8. 02 Government Online service Index, 0†1 (best...
35.0.67 8. 03 Gov†t success in ICT promotion*..*86.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
224 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...20.35 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...48.99.8 3. 03 Int†l Internet bandwidth, kb/s per user...
73.18.1 3. 04 Secure Internet servers/million pop...53.83.7 3. 05 Accessibility of digital content*..
*87.4.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...128.0.51 4. 02 Fixed broadband Internet tariffs, PPP $/month..
91.37.25 4. 03 Internet & telephony competition, 0†2 (best...125.1.07 5th pillar: Skills 5. 01 Quality of educational system*..
*146.2.1 5. 02 Quality of math & science education*..*148.1.9 5. 03 Secondary education gross enrollment rate%..
%28.101.9 5. 04 Adult literacy rate%..%76.93.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...33.130.6 6. 02 Individuals using Internet%..%81.41.0 6. 03 Households w/personal computer%..
%91.23.6 6. 04 Households w/Internet access%..%80.25.5 6. 05 Fixed broadband Internet subs.//100 pop...
96.2.1 6. 06 Mobile broadband subscriptions/100 pop...62.25.2 6. 07 Use of virtual social networks*..
*83.5.5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*35.5.4 7. 02 Capacity for innovation*..
*33.4.1 7. 03 PCT patents, applications/million pop...40.6.4 7. 04 Business-to-business Internet use*..*30.5.6
7. 05 Business-to-consumer Internet use*..*62.4.7 7. 06 Extent of staff training*..*17.4.9 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*116.3.3 8. 02 Government Online service Index, 0†1 (best...
80.0.46 8. 03 Gov†t success in ICT promotion*..*109.3.8 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 225 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...32.44 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...43.99.8 3. 03 Int†l Internet bandwidth, kb/s per user...
27.81.4 3. 04 Secure Internet servers/million pop...32.294.4 3. 05 Accessibility of digital content*..
*34.5.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...40.0.14 4. 02 Fixed broadband Internet tariffs, PPP $/month..
81.34.63 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*77.3.6 5. 02 Quality of math & science education*..
*88.3.9 5. 03 Secondary education gross enrollment rate%..%2...128.5 5. 04 Adult literacy rate%..%51.97.7
6. 01 Mobile phone subscriptions/100 pop...75.108.4 6. 02 Individuals using Internet%..%34.72.0 6. 03 Households w/personal computer%..
%36.74.0 6. 04 Households w/Internet access%..%37.68.0 6. 05 Fixed broadband Internet subs.//100 pop...
24.24.4 6. 06 Mobile broadband subscriptions/100 pop...25.53.6 6. 07 Use of virtual social networks*..
*47.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*49.5.0 7. 02 Capacity for innovation*..
*57.3.7 7. 03 PCT patents, applications/million pop...25.39.2 7. 04 Business-to-business Internet use*..*41.5.3
7. 05 Business-to-consumer Internet use*..*40.5.1 7. 06 Extent of staff training*..*97.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*79.3.8 8. 02 Government Online service Index, 0†1 (best...
23.0.76 8. 03 Gov†t success in ICT promotion*..*101.3.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
226 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...95.84 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...81.98.0 3. 03 Int†l Internet bandwidth, kb/s per user...
107.6.0 3. 04 Secure Internet servers/million pop...97.7.7 3. 05 Accessibility of digital content*..
*95.4.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...4...0. 04
4. 02 Fixed broadband Internet tariffs, PPP $/month...1...8. 22 4. 03 Internet & telephony competition, 0†2 (best...
133.0.88 5th pillar: Skills 5. 01 Quality of educational system*..*28.4.6 5. 02 Quality of math & science education*..
*46.4.5 5. 03 Secondary education gross enrollment rate%..%39.99.1 5. 04 Adult literacy rate%..%83.91.2 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...101.91.6 6. 02 Individuals using Internet%..%104.18.3 6. 03 Households w/personal computer%..
%105.15.0 6. 04 Households w/Internet access%..%106.10.3 6. 05 Fixed broadband Internet subs.//100 pop...
99.1.7 6. 06 Mobile broadband subscriptions/100 pop...93.7.8 6. 07 Use of virtual social networks*..
*114.5.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*47.5.1 7. 02 Capacity for innovation*..
*44.3.8 7. 03 PCT patents, applications/million pop...76.0.6 7. 04 Business-to-business Internet use*..*58.5.0
7. 05 Business-to-consumer Internet use*..*60.4.7 7. 06 Extent of staff training*..*52.4.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*19.4.9 8. 02 Government Online service Index, 0†1 (best...
94.0.38 8. 03 Gov†t success in ICT promotion*..*18.5.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 227 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
136.2.0 3. 04 Secure Internet servers/million pop...66.37.4 3. 05 Accessibility of digital content*..
*120.3.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...53.0.18 4. 02 Fixed broadband Internet tariffs, PPP $/month..
94.38.59 4. 03 Internet & telephony competition, 0†2 (best...120.1.18 5th pillar: Skills 5. 01 Quality of educational system*..
*102.3.2 5. 02 Quality of math & science education*..*81.4.0 5. 03 Secondary education gross enrollment rate%..
%85.85.4 5. 04 Adult literacy rate%..%65.94.7 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...80.106.5 6. 02 Individuals using Internet%..%90.34.7 6. 03 Households w/personal computer%..
%78.34.3 6. 04 Households w/Internet access%..%88.20.2 6. 05 Fixed broadband Internet subs.//100 pop...
76.5.5 6. 06 Mobile broadband subscriptions/100 pop...79.15.0 6. 07 Use of virtual social networks*..
*107.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*105.4.3 7. 02 Capacity for innovation*..
*113.3.1 7. 03 PCT patents, applications/million pop...79.0.5 7. 04 Business-to-business Internet use*..*126.4.0
7. 05 Business-to-consumer Internet use*..*119.3.6 7. 06 Extent of staff training*..*74.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*134.2.8 8. 02 Government Online service Index, 0†1 (best...
136.0.16 8. 03 Gov†t success in ICT promotion*..*120.3.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
228 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...93.96.8 3. 03 Int†l Internet bandwidth, kb/s per user...
138.1.8 3. 04 Secure Internet servers/million pop...100.6.5 3. 05 Accessibility of digital content*..
*122.3.9 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...109.0.37 4. 02 Fixed broadband Internet tariffs, PPP $/month 136.113.67
4. 03 Internet & telephony competition, 0†2 (best...143.0.08 5th pillar: Skills 5. 01 Quality of educational system*..
*81.3.5 5. 02 Quality of math & science education*..*91.3.8 5. 03 Secondary education gross enrollment rate,%113.59.9
5. 04 Adult literacy rate%..%96.87.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
126.65.4 6. 02 Individuals using Internet%..%102.20.8 6. 03 Households w/personal computer%..%110.11.9 6. 04 Households w/Internet access%..
%104.11.4 6. 05 Fixed broadband Internet subs.//100 pop...119.0.3 6. 06 Mobile broadband subscriptions/100 pop...
84.11.9 6. 07 Use of virtual social networks*..*122.4.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*123.4.0 7. 02 Capacity for innovation*..*95.3.2 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*114.4.3 7. 05 Business-to-consumer Internet use*..*125.3.5 7. 06 Extent of staff training*..
*86.3.8 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*118.3.2
8. 02 Government Online service Index, 0†1 (best...138.0.14 8. 03 Gov†t success in ICT promotion*..
*124.3.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 229 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...7...24 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...28.100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
7...279.3 3. 04 Secure Internet servers/million pop...11.1,511. 9 3. 05 Accessibility of digital content*..
*12.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...16.0.08 4. 02 Fixed broadband Internet tariffs, PPP $/month..
53.27.57 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*17.5.0 5. 02 Quality of math & science education*..
*41.4.6 5. 03 Secondary education gross enrollment rate%..%49.96.9 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...44.124.6 6. 02 Individuals using Internet%..%3...94.0 6. 03 Households w/personal computer%..
%5...92.0 6. 04 Households w/Internet access%..%6...92.0 6. 05 Fixed broadband Internet subs./
/100 pop...13.32.3 6. 06 Mobile broadband subscriptions/100 pop...5...104.9 6. 07 Use of virtual social networks*..
*5...6. 5 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*1...6. 2
7. 02 Capacity for innovation*..*7...5. 5 7. 03 PCT patents, applications/million pop...
2...294.5 7. 04 Business-to-business Internet use*..*3...6. 1 7. 05 Business-to-consumer Internet use*..
*5...6. 0 7. 06 Extent of staff training*..*7...5. 2 8th pillar: Government usage
8. 01 Importance of ICTS to gov†t vision*..*11.5.3 8. 02 Government Online service Index, 0†1 (best...
230 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...10.25 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
6...312.0 3. 04 Secure Internet servers/million pop...4..2, 282.2 3. 05 Accessibility of digital content*..
*7...6. 4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
119.0.43 4. 02 Fixed broadband Internet tariffs, PPP $/month..40.24.48 4. 03 Internet & telephony competition, 0†2 (best...
1...2. 00 5th pillar: Skills 5. 01 Quality of educational system*..*1...6. 0 5. 02 Quality of math & science education*..
*5...5. 8 5. 03 Secondary education gross enrollment rate%..%51.96.2 5. 04 Adult literacy rate%..
6. 01 Mobile phone subscriptions/100 pop...35.130.2 6. 02 Individuals using Internet%..%13.85.2 6. 03 Households w/personal computer%..
%16.85.8 6. 04 Households w/Internet access%..%8...90.0 6. 05 Fixed broadband Internet subs.//100 pop...
1...39.9 6. 06 Mobile broadband subscriptions/100 pop...42.39.6 6. 07 Use of virtual social networks*..
*24.6.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*3...6. 1 7. 02 Capacity for innovation*..
*1...5. 8 7. 03 PCT patents, applications/million pop...3...293.5 7. 04 Business-to-business Internet use*..
*2...6. 2 7. 05 Business-to-consumer Internet use*..*13.5.8 7. 06 Extent of staff training*..
*1...5. 6 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..
*52.4.3 8. 02 Government Online service Index, 0†1 (best...32.0.67 8. 03 Gov†t success in ICT promotion*..
The Global Information technology Report 2014 231 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...22.37 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
42.44.3 3. 04 Secure Internet servers/million pop...n/a n/a 3. 05 Accessibility of digital content*..
*16.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...90.0.32 4. 02 Fixed broadband Internet tariffs, PPP $/month..
47.26.05 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*30.4.5 5. 02 Quality of math & science education*..
*11.5.4 5. 03 Secondary education gross enrollment rate%..%37.100.0 5. 04 Adult literacy rate%..%45.98.4 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...42.126.5 6. 02 Individuals using Internet%..%27.76.0 6. 03 Households w/personal computer%..
%33.75.2 6. 04 Households w/Internet access%..%31.72.2 6. 05 Fixed broadband Internet subs.//100 pop...
28.23.9 6. 06 Mobile broadband subscriptions/100 pop...33.49.9 6. 07 Use of virtual social networks*..
*34.6.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*18.5.8 7. 02 Capacity for innovation*..
*19.4.8 7. 03 PCT patents, applications/million pop...n/a n/a 7. 04 Business-to-business Internet use*..
*13.5.9 7. 05 Business-to-consumer Internet use*..*7...5. 9 7. 06 Extent of staff training*..
*31.4.5 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*12.5.2
8. 02 Government Online service Index, 0†1 (best...n/a n/a 8. 03 Gov†t success in ICT promotion*..
232 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...101.95.0 3. 03 Int†l Internet bandwidth, kb/s per user...
119.4.0 3. 04 Secure Internet servers/million pop...135.0.8 3. 05 Accessibility of digital content*..
*134.3.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...92.0.32 4. 02 Fixed broadband Internet tariffs, PPP $/month 109.49.03
4. 03 Internet & telephony competition, 0†2 (best...130.0.91 5th pillar: Skills 5. 01 Quality of educational system*..
*100.3.2 5. 02 Quality of math & science education*..*138.2.5 5. 03 Secondary education gross enrollment rate,%137.35.0
5. 04 Adult literacy rate%..%115.73.2 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
135.57.0 6. 02 Individuals using Internet%..%135.4.0 6. 03 Households w/personal computer%..%136.3.2 6. 04 Households w/Internet access%..
%132.3.3 6. 05 Fixed broadband Internet subs.//100 pop...141.0.0 6. 06 Mobile broadband subscriptions/100 pop...
109.3.7 6. 07 Use of virtual social networks*..*136.4.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*127.3.9 7. 02 Capacity for innovation*..*101.3.2 7. 03 PCT patents, applications/million pop...115.0.0
7. 04 Business-to-business Internet use*..*125.4.1 7. 05 Business-to-consumer Internet use*..*120.3.5 7. 06 Extent of staff training*..
*95.3.7 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*92.3.7
8. 02 Government Online service Index, 0†1 (best...102.0.35 8. 03 Gov†t success in ICT promotion*..
*77.4.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 233 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...72.72 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
61.26.6 3. 04 Secure Internet servers/million pop...83.19.6 3. 05 Accessibility of digital content*..
*82.4.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...30.0.12 4. 02 Fixed broadband Internet tariffs, PPP $/month..
86.35.81 4. 03 Internet & telephony competition, 0†2 (best...79.1.82 5th pillar: Skills 5. 01 Quality of educational system*..
*78.3.6 5. 02 Quality of math & science education*..*80.4.0 5. 03 Secondary education gross enrollment rate%..
%79.87.0 5. 04 Adult literacy rate%..%73.93.5 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...38.127.3 6. 02 Individuals using Internet%..%97.26.5 6. 03 Households w/personal computer%..
%86.26.9 6. 04 Households w/Internet access%..%93.18.4 6. 05 Fixed broadband Internet subs.//100 pop...
70.8.2 6. 06 Mobile broadband subscriptions/100 pop...132.0.1 6. 07 Use of virtual social networks*..
*49.5.9 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*50.5.0 7. 02 Capacity for innovation*..
*87.3.4 7. 03 PCT patents, applications/million pop...65.1.2 7. 04 Business-to-business Internet use*..*74.4.8
7. 05 Business-to-consumer Internet use*..*50.4.9 7. 06 Extent of staff training*..*50.4.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*99.3.6 8. 02 Government Online service Index, 0†1 (best...
64.0.51 8. 03 Gov†t success in ICT promotion*..*94.4.0 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
234 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...111.92.0 3. 03 Int†l Internet bandwidth, kb/s per user...
75.17.5 3. 04 Secure Internet servers/million pop...115.2.6 3. 05 Accessibility of digital content*..
*140.3.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...115.0.42 4. 02 Fixed broadband Internet tariffs, PPP $/month 141.172.26
4. 03 Internet & telephony competition, 0†2 (best...n/a n/a 5th pillar: Skills
5. 01 Quality of educational system*..*124.2.7 5. 02 Quality of math & science education*..*141.2.3
5. 03 Secondary education gross enrollment rate,%116.56.6 5. 04 Adult literacy rate%..%131.58.3 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...136.55.7 6. 02 Individuals using Internet%..%148.0.9 6. 03 Households w/personal computer%..
%n/a n/a 6. 04 Households w/Internet access%..%n/a n/a 6. 05 Fixed broadband Internet subs./
/100 pop...132.0.1 6. 06 Mobile broadband subscriptions/100 pop...128.0.4 6. 07 Use of virtual social networks*..
*140.4.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*146.3.3 7. 02 Capacity for innovation*..
*124.2.9 7. 03 PCT patents, applications/million pop...88.0.3 7. 04 Business-to-business Internet use*..*145.3.1
7. 05 Business-to-consumer Internet use*..*142.2.7 7. 06 Extent of staff training*..*132.3.2 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*123.3.2 8. 02 Government Online service Index, 0†1 (best...
127.0.22 8. 03 Gov†t success in ICT promotion*..*137.3.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 235 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
72.18.4 3. 04 Secure Internet servers/million pop...51.96.5 3. 05 Accessibility of digital content*..
*62.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...96.0.34 4. 02 Fixed broadband Internet tariffs, PPP $/month..
19.18.71 4. 03 Internet & telephony competition, 0†2 (best...126.1.00 5th pillar: Skills 5. 01 Quality of educational system*..
*45.4.2 5. 02 Quality of math & science education*..*36.4.6 5. 03 Secondary education gross enrollment rate%..
%73.89.9 5. 04 Adult literacy rate%..%41.98.8 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...27.140.8 6. 02 Individuals using Internet%..%50.59.5 6. 03 Households w/personal computer%..
%51.61.0 6. 04 Households w/Internet access%..%69.40.0 6. 05 Fixed broadband Internet subs.//100 pop...
47.13.8 6. 06 Mobile broadband subscriptions/100 pop...92.8.4 6. 07 Use of virtual social networks*..
*63.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*75.4.7 7. 02 Capacity for innovation*..
*123.2.9 7. 03 PCT patents, applications/million pop...72.1.0 7. 04 Business-to-business Internet use*..*77.4.8
7. 05 Business-to-consumer Internet use*..*96.4.1 7. 06 Extent of staff training*..*60.4.1 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*87.3.7 8. 02 Government Online service Index, 0†1 (best...
72.0.48 8. 03 Gov†t success in ICT promotion*..*79.4.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
236 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...76.74 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...58.99.0 3. 03 Int†l Internet bandwidth, kb/s per user...
70.18.7 3. 04 Secure Internet servers/million pop...87.13.1 3. 05 Accessibility of digital content*..
*110.4.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...94.0.33 4. 02 Fixed broadband Internet tariffs, PPP $/month...
7...14.42 4. 03 Internet & telephony competition, 0†2 (best...135.0.82 5th pillar: Skills
5. 01 Quality of educational system*..*71.3.7 5. 02 Quality of math & science education*..*31.4.7
5. 03 Secondary education gross enrollment rate%..%68.91.1 5. 04 Adult literacy rate%..%108.79.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...53.118.1 6. 02 Individuals using Internet%..%79.41.4 6. 03 Households w/personal computer%..
%93.22.8 6. 04 Households w/Internet access%..%85.20.6 6. 05 Fixed broadband Internet subs.//100 pop...
80.4.9 6. 06 Mobile broadband subscriptions/100 pop...88.8.9 6. 07 Use of virtual social networks*..
*40.6.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*70.4.7 7. 02 Capacity for innovation*..
*99.3.2 7. 03 PCT patents, applications/million pop...67.1.1 7. 04 Business-to-business Internet use*..*116.4.3
7. 05 Business-to-consumer Internet use*..*114.3.7 7. 06 Extent of staff training*..*111.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*74.3.9 8. 02 Government Online service Index, 0†1 (best...
74.0.48 8. 03 Gov†t success in ICT promotion*..*83.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 237 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...57.62 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
44.40.6 3. 04 Secure Internet servers/million pop...48.116.8 3. 05 Accessibility of digital content*..
*63.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...58.0.21 4. 02 Fixed broadband Internet tariffs, PPP $/month..
24.20.02 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*91.3.4 5. 02 Quality of math & science education*..
*101.3.5 5. 03 Secondary education gross enrollment rate%..%77.88.9 5. 04 Adult literacy rate%..%67.94.1 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...102.91.5 6. 02 Individuals using Internet%..%73.45.1 6. 03 Households w/personal computer%..
%64.50.2 6. 04 Households w/Internet access%..%60.47.2 6. 05 Fixed broadband Internet subs.//100 pop...
57.10.6 6. 06 Mobile broadband subscriptions/100 pop...77.16.5 6. 07 Use of virtual social networks*..
*61.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*37.5.3 7. 02 Capacity for innovation*..
*45.3.8 7. 03 PCT patents, applications/million pop...44.6.2 7. 04 Business-to-business Internet use*..*55.5.1
7. 05 Business-to-consumer Internet use*..*48.4.9 7. 06 Extent of staff training*..*65.4.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*55.4.2 8. 02 Government Online service Index, 0†1 (best...
77.0.46 8. 03 Gov†t success in ICT promotion*..*69.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
238 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...n/a n/a 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
116.4.7 3. 04 Secure Internet servers/million pop...126.1.5 3. 05 Accessibility of digital content*..
*133.3.6 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...67.0.23 4. 02 Fixed broadband Internet tariffs, PPP $/month..
80.34.25 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*82.3.5 5. 02 Quality of math & science education*..
*119.3.1 5. 03 Secondary education gross enrollment rate,%143.27.6 5. 04 Adult literacy rate%..%114.73.2 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...139.45.0 6. 02 Individuals using Internet%..%114.14.7 6. 03 Households w/personal computer%..
%133.4.0 6. 04 Households w/Internet access%..%125.4.2 6. 05 Fixed broadband Internet subs.//100 pop...
126.0.1 6. 06 Mobile broadband subscriptions/100 pop...96.7.4 6. 07 Use of virtual social networks*..
*141.4.2 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*116.4.1 7. 02 Capacity for innovation*..
*109.3.1 7. 03 PCT patents, applications/million pop...111.0.0 7. 04 Business-to-business Internet use*..*118.4.3
7. 05 Business-to-consumer Internet use*..*130.3.4 7. 06 Extent of staff training*..*115.3.5 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*67.4.0 8. 02 Government Online service Index, 0†1 (best...
120.0.29 8. 03 Gov†t success in ICT promotion*..*60.4.5 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 239 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...95.84 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
87.14.1 3. 04 Secure Internet servers/million pop...76.23.5 3. 05 Accessibility of digital content*..
*43.5.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...6...0. 04
4. 02 Fixed broadband Internet tariffs, PPP $/month...6...14.17 4. 03 Internet & telephony competition, 0†2 (best...
74.1.86 5th pillar: Skills 5. 01 Quality of educational system*..*79.3.6 5. 02 Quality of math & science education*..
*28.4.8 5. 03 Secondary education gross enrollment rate%..%44.97.8 5. 04 Adult literacy rate%..%6...99.7
6. 01 Mobile phone subscriptions/100 pop...34.130.3 6. 02 Individuals using Internet%..%92.33.7 6. 03 Households w/personal computer%..
%72.40.5 6. 04 Households w/Internet access%..%73.36.5 6. 05 Fixed broadband Internet subs.//100 pop...
71.8.0 6. 06 Mobile broadband subscriptions/100 pop...101.5.4 6. 07 Use of virtual social networks*..
*93.5.3 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*100.4.3 7. 02 Capacity for innovation*..
*100.3.2 7. 03 PCT patents, applications/million pop...52.3.2 7. 04 Business-to-business Internet use*..*87.4.7
7. 05 Business-to-consumer Internet use*..*59.4.7 7. 06 Extent of staff training*..*103.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*142.2.6 8. 02 Government Online service Index, 0†1 (best...
88.0.42 8. 03 Gov†t success in ICT promotion*..*135.3.2 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
240 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...22.37 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
53.32.4 3. 04 Secure Internet servers/million pop...40.183.7 3. 05 Accessibility of digital content*..
*20.6.1 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...19.0.08 4. 02 Fixed broadband Internet tariffs, PPP $/month 103.41.77
4. 03 Internet & telephony competition, 0†2 (best...126.1.00 5th pillar: Skills 5. 01 Quality of educational system*..
*15.5.1 5. 02 Quality of math & science education*..*19.5.1 5. 03 Secondary education gross enrollment rate%..
%66.92.3 5. 04 Adult literacy rate%..%88.90.0 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...20.149.6 6. 02 Individuals using Internet%..%14.85.0 6. 03 Households w/personal computer%..
%18.85.0 6. 04 Households w/Internet access%..%32.72.0 6. 05 Fixed broadband Internet subs.//100 pop...
61.10.3 6. 06 Mobile broadband subscriptions/100 pop...37.44.8 6. 07 Use of virtual social networks*..
*11.6.4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*4...6. 1 7. 02 Capacity for innovation*..
*39.4.0 7. 03 PCT patents, applications/million pop...49.4.5 7. 04 Business-to-business Internet use*..*10.5.9
7. 05 Business-to-consumer Internet use*..*20.5.5 7. 06 Extent of staff training*..*13.5.0 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*1...5. 9 8. 02 Government Online service Index, 0†1 (best...
9...0. 86 8. 03 Gov†t success in ICT promotion*..*2...6. 1 9th pillar:
The Global Information technology Report 2014 241 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...12.26 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...51.99.6 3. 03 Int†l Internet bandwidth, kb/s per user...
9...188.9 3. 04 Secure Internet servers/million pop...12.1,478. 3 3. 05 Accessibility of digital content*..
*4...6. 4 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...
131.0.53 4. 02 Fixed broadband Internet tariffs, PPP $/month..21.19.68 4. 03 Internet & telephony competition, 0†2 (best...
76.1.85 5th pillar: Skills 5. 01 Quality of educational system*..*26.4.6 5. 02 Quality of math & science education*..
*50.4.4 5. 03 Secondary education gross enrollment rate%..%47.97.4 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...32.135.3 6. 02 Individuals using Internet%..%11.87.0 6. 03 Households w/personal computer%..
%12.87.0 6. 04 Households w/Internet access%..%9...88.6 6. 05 Fixed broadband Internet subs.//100 pop...
8...34.0 6. 06 Mobile broadband subscriptions/100 pop...15.72.1 6. 07 Use of virtual social networks*..
*2...6. 6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*24.5.7 7. 02 Capacity for innovation*..
*8...5. 2 7. 03 PCT patents, applications/million pop...17.87.0 7. 04 Business-to-business Internet use*..
*5...6. 1 7. 05 Business-to-consumer Internet use*..*1...6. 3 7. 06 Extent of staff training*..
*22.4.7 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*37.4.5
8. 02 Government Online service Index, 0†1 (best...4...0. 97 8. 03 Gov†t success in ICT promotion*..
242 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...1...19 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...33.99.9 3. 03 Int†l Internet bandwidth, kb/s per user...
36.61.9 3. 04 Secure Internet servers/million pop...13.1,474. 1 3. 05 Accessibility of digital content*..
*17.6.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...80.0.27 4. 02 Fixed broadband Internet tariffs, PPP $/month..
10.14.95 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*25.4.6 5. 02 Quality of math & science education*..
*49.4.4 5. 03 Secondary education gross enrollment rate%..%59.93.6 5. 04 Adult literacy rate%..%14.99.0 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...97.95.4 6. 02 Individuals using Internet%..%20.81.0 6. 03 Households w/personal computer%..
%28.79.3 6. 04 Households w/Internet access%..%26.75.0 6. 05 Fixed broadband Internet subs.//100 pop...
17.28.3 6. 06 Mobile broadband subscriptions/100 pop...9...88.2 6. 07 Use of virtual social networks*..
*9...6. 4 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*9...6. 0
7. 02 Capacity for innovation*..*5...5. 6 7. 03 PCT patents, applications/million pop...
11.143.9 7. 04 Business-to-business Internet use*..*25.5.6 7. 05 Business-to-consumer Internet use*..*3...6. 2
7. 06 Extent of staff training*..*12.5.0 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..
*39.4.5 8. 02 Government Online service Index, 0†1 (best...1...1. 00 8. 03 Gov†t success in ICT promotion*..
The Global Information technology Report 2014 243 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...67.68 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...1...100.0 3. 03 Int†l Internet bandwidth, kb/s per user...
43.40.6 3. 04 Secure Internet servers/million pop...55.80.4 3. 05 Accessibility of digital content*..
*45.5.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...101.0.35 4. 02 Fixed broadband Internet tariffs, PPP $/month..
12.15.22 4. 03 Internet & telephony competition, 0†2 (best...137.0.75 5th pillar: Skills 5. 01 Quality of educational system*..
*120.3.0 5. 02 Quality of math & science education*..*124.2.9 5. 03 Secondary education gross enrollment rate%..
%71.90.3 5. 04 Adult literacy rate%..%47.98.1 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...24.147.1 6. 02 Individuals using Internet%..%56.55.1 6. 03 Households w/personal computer%..
%48.63.7 6. 04 Households w/Internet access%..%56.48.4 6. 05 Fixed broadband Internet subs.//100 pop...
39.16.6 6. 06 Mobile broadband subscriptions/100 pop...53.32.5 6. 07 Use of virtual social networks*..
*62.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*92.4.4 7. 02 Capacity for innovation*..
*88.3.4 7. 03 PCT patents, applications/million pop...54.2.2 7. 04 Business-to-business Internet use*..*89.4.6
7. 05 Business-to-consumer Internet use*..*74.4.5 7. 06 Extent of staff training*..*92.3.8 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*84.3.8 8. 02 Government Online service Index, 0†1 (best...
52.0.55 8. 03 Gov†t success in ICT promotion*..*67.4.4 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
244 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...101.88 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...115.90.0 3. 03 Int†l Internet bandwidth, kb/s per user...
94.10.9 3. 04 Secure Internet servers/million pop...92.10.7 3. 05 Accessibility of digital content*..
*100.4.5 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...77.0.26 4. 02 Fixed broadband Internet tariffs, PPP $/month..
16.16.04 04 4. 03 Internet & telephony competition, 0†2 (best...1...2. 00 5th pillar:
Skills 5. 01 Quality of educational system*..*128.2.7 5. 02 Quality of math & science education*..
*123.2.9 5. 03 Secondary education gross enrollment rate%..%84.85.4 5. 04 Adult literacy rate%..%61.95.5 INDICATOR RANK/148 VALUE
6. 01 Mobile phone subscriptions/100 pop...88.101.9 6. 02 Individuals using Internet%..%76.44.0 6. 03 Households w/personal computer%..
%94.20.2 6. 04 Households w/Internet access%..%89.20.2 6. 05 Fixed broadband Internet subs.//100 pop...
75.6.7 6. 06 Mobile broadband subscriptions/100 pop...105.4.8 6. 07 Use of virtual social networks*..
*59.5.8 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*118.4.1 7. 02 Capacity for innovation*..
*128.2.8 7. 03 PCT patents, applications/million pop...91.0.2 7. 04 Business-to-business Internet use*..*124.4.1
7. 05 Business-to-consumer Internet use*..*91.4.2 7. 06 Extent of staff training*..*106.3.6 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*144.2.5 8. 02 Government Online service Index, 0†1 (best...
72.0.48 8. 03 Gov†t success in ICT promotion*..*139.3.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 245 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...89.81 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...132.70.0 3. 03 Int†l Internet bandwidth, kb/s per user...
90.13.4 3. 04 Secure Internet servers/million pop...99.6.7 3. 05 Accessibility of digital content*..
*61.5.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...23.0.09 4. 02 Fixed broadband Internet tariffs, PPP $/month..
34.22.79 4. 03 Internet & telephony competition, 0†2 (best...69.1.87 5th pillar: Skills 5. 01 Quality of educational system*..
*95.3.4 5. 02 Quality of math & science education*..*85.3.9 5. 03 Secondary education gross enrollment rate%..
%96.77.2 5. 04 Adult literacy rate%..%74.93.4 INDICATOR RANK/148 VALUE 6th pillar: Individual usage
6. 01 Mobile phone subscriptions/100 pop...23.147.7 6. 02 Individuals using Internet%..%83.39.5 6. 03 Households w/personal computer%..
%99.17.5 6. 04 Households w/Internet access%..%94.15.6 6. 05 Fixed broadband Internet subs.//100 pop...
79.4.9 6. 06 Mobile broadband subscriptions/100 pop...72.18.8 6. 07 Use of virtual social networks*..
*105.5.1 7th pillar: Business usage 7. 01 Firm-level technology absorption*..*135.3.8 7. 02 Capacity for innovation*..
*86.3.4 7. 03 PCT patents, applications/million pop...92.0.2 7. 04 Business-to-business Internet use*..*32.5.5
7. 05 Business-to-consumer Internet use*..*38.5.1 7. 06 Extent of staff training*..*98.3.7 8th pillar:
Government usage 8. 01 Importance of ICTS to gov†t vision*..*60.4.2 8. 02 Government Online service Index, 0†1 (best...
88.0.42 8. 03 Gov†t success in ICT promotion*..*36.4.9 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
246 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...103.89 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...121.84.0 3. 03 Int†l Internet bandwidth, kb/s per user...
130.2.8 3. 04 Secure Internet servers/million pop...142.0.5 3. 05 Accessibility of digital content*..
*124.3.8 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...43.0.15 4. 02 Fixed broadband Internet tariffs, PPP $/month..
39.24.08 4. 03 Internet & telephony competition, 0†2 (best...141.0.36 5th pillar: Skills 5. 01 Quality of educational system*..
*147.2.0 5. 02 Quality of math & science education*..*143.2.3 5. 03 Secondary education gross enrollment rate,%124.46.9
5. 04 Adult literacy rate%..%125.65.3 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
133.58.3 6. 02 Individuals using Internet%..%106.17.4 6. 03 Households w/personal computer%..%129.5.1 6. 04 Households w/Internet access%..
%123.4.7 6. 05 Fixed broadband Internet subs.//100 pop...111.0.7 6. 06 Mobile broadband subscriptions/100 pop...
131.0.2 6. 07 Use of virtual social networks*..*128.4.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*119.4.1 7. 02 Capacity for innovation*..*142.2.6 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*97.4.5 7. 05 Business-to-consumer Internet use*..*138.3.0 7. 06 Extent of staff training*..
*122.3.3 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*146.2.4
8. 02 Government Online service Index, 0†1 (best...134.0.18 8. 03 Gov†t success in ICT promotion*..
*134.3.3 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
The Global Information technology Report 2014 247 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...91.82 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...129.78.0 3. 03 Int†l Internet bandwidth, kb/s per user...
131.2.7 3. 04 Secure Internet servers/million pop...117.2.3 3. 05 Accessibility of digital content*..
*111.4.3 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...117.0.43 4. 02 Fixed broadband Internet tariffs, PPP $/month 118.64.14
4. 03 Internet & telephony competition, 0†2 (best...93.1.64 5th pillar: Skills 5. 01 Quality of educational system*..
*38.4.3 5. 02 Quality of math & science education*..*76.4.0 5. 03 Secondary education gross enrollment rate,%126.45.6
5. 04 Adult literacy rate%..%119.71.2 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
120.74.8 6. 02 Individuals using Internet%..%117.13.5 6. 03 Households w/personal computer%..%137.3.1 6. 04 Households w/Internet access%..
%135.2.8 6. 05 Fixed broadband Internet subs.//100 pop...127.0.1 6. 06 Mobile broadband subscriptions/100 pop...
126.0.6 6. 07 Use of virtual social networks*..*77.5.6 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*77.4.6 7. 02 Capacity for innovation*..*52.3.7 7. 03 PCT patents, applications/million pop...122.0.0
7. 04 Business-to-business Internet use*..*72.4.8 7. 05 Business-to-consumer Internet use*..*100.4.0 7. 06 Extent of staff training*..
*89.3.8 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*50.4.3
8. 02 Government Online service Index, 0†1 (best...113.0.31 8. 03 Gov†t success in ICT promotion*..
*40.4.7 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
248 The Global Information technology Report 2014 Note: Indicators followed by an asterisk(*)are measured on a 1-to-7 (best) scale.
1. 07 Software piracy rate,%software installed...108.92 1. 08 No. procedures to enforce a contract...
3. 02 Mobile network coverage,%pop...125.81.0 3. 03 Int†l Internet bandwidth, kb/s per user...
132.2.6 3. 04 Secure Internet servers/million pop...112.3.0 3. 05 Accessibility of digital content*..
*112.4.2 4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs, PPP $/min...47.0.16 4. 02 Fixed broadband Internet tariffs, PPP $/month..
32.21.93 4. 03 Internet & telephony competition, 0†2 (best...81.1.79 5th pillar: Skills 5. 01 Quality of educational system*..
*42.4.3 5. 02 Quality of math & science education*..*63.4.2 5. 03 Secondary education gross enrollment rate,%133.38.0
5. 04 Adult literacy rate%..%107.83.6 INDICATOR RANK/148 VALUE 6th pillar: Individual usage 6. 01 Mobile phone subscriptions/100 pop...
100.91.9 6. 02 Individuals using Internet%..%108.17.1 6. 03 Households w/personal computer%..%125.6.5 6. 04 Households w/Internet access%..
%122.4.9 6. 05 Fixed broadband Internet subs.//100 pop...114.0.5 6. 06 Mobile broadband subscriptions/100 pop...
57.28.1 6. 07 Use of virtual social networks*..*113.5.0 7th pillar: Business usage 7. 01 Firm-level technology absorption*..
*99.4.3 7. 02 Capacity for innovation*..*122.2.9 7. 03 PCT patents, applications/million pop...96.0.1
7. 04 Business-to-business Internet use*..*108.4.4 7. 05 Business-to-consumer Internet use*..*127.3.4 7. 06 Extent of staff training*..
*82.3.9 8th pillar: Government usage 8. 01 Importance of ICTS to gov†t vision*..*100.3.6
8. 02 Government Online service Index, 0†1 (best...139.0.13 8. 03 Gov†t success in ICT promotion*..
*90.4.1 9th pillar: Economic impacts 9. 01 Impact of ICTS on new services & products*..
Data Tables  2014 World Economic Forum  2014 World Economic Forum How to Read the Data Tables
The Global Information technology Report 2014 251 The following pages provide detailed data for all 148 economies included in The Global Information
Technology Report 2014. The data tables are organized into 10 sections, which correspond to the 10 pillars of
the Networked Readiness Index (NRI Environment subindex 1st pillar: Political and regulatory environment 2nd pillar:
Business and innovation environment Readiness subindex 3rd pillar: Infrastructure and digital content 4th pillar: Affordability
available for free on the World Economic Forum website at www. weforum. org/gcr OTHER INDICATORS
the data corresponds) follows the description. When the period differs from the base period for a particular
When data are not available or are outdated too â€oen/a†is used in lieu of the rank and the value
Because of the nature of data, ties between two or more countries are possible. In such cases, shared
ONLINE DATA PORTAL Complementing the analysis presented in this Report, an online data portal can be accessed via www. weforum
org/gitr. The platform offers a number of analytical tools and visualizations, including sortable rankings, scatter
256 The Global Information technology Report 2014 4: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 6 7
1 Singapore...6. 1 2 Finland...5. 7 3 Qatar...5. 7 4 New zealand...5. 7
The Global Information technology Report 2014 253 Index of Data Tables Environment subindex 1st pillar: Political and regulatory environment...
255 1. 01 Effectiveness of lawmaking bodies*..*256 1. 02 Laws relating to ICTS*..*257
1. 07 Software piracy rate...262 1. 08 Number of procedures to enforce a contract...
3. 02 Mobile network coverage rate...277 3. 03 International Internet bandwidth...278 3. 04 Secure Internet servers...
279 3. 05 Accessibility of digital content*..*280 4th pillar: Affordability...281 4. 01 Mobile cellular tariffs...
282 4. 02 Fixed broadband Internet tariffs...283 4. 03 Internet and telephony sectors competition index...
284 5th pillar: Skills...285 5. 01 Quality of the educational system*..*286 5. 02 Quality of math and science education*..
*287 5. 03 Secondary education enrollment rate...288 5. 04 Adult literacy rate...289 Usage subindex
6th pillar: Individual usage...291 6. 01 Mobile telephone subscriptions...292 6. 02 Internet users...293 6. 03 Households with a personal computer...
294 6. 04 Households with Internet access...295 6. 05 Fixed broadband Internet subscriptions...296 6. 06 Mobile broadband Internet subscriptions...
297 6. 07 Use of virtual social networks*..*298 7th pillar: Business usage...299 7. 01 Firm-level technology absorption*..
*300 7. 02 Capacity for innovation*..*301 7. 03 PCT patent applications (all types...302 7. 04 ICT use for business-to-business transactions...
303 7. 05 Internet use for business-to-consumer transactions...304 7. 06 Extent of staff training*..
*305 8th pillar: Government usage...307 8. 01 Importance of ICTS to government vision of the future*..
*308 8. 02 Government Online service Index...309 8. 03 Government success in ICT promotion*..*310
256 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 6 7
1 Singapore...6. 1 2 Finland...5. 7 3 Qatar...5. 7 4 New zealand...5. 7
The Global Information technology Report 2014 257 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 9 7
1 Luxembourg...5. 9 2 Singapore...5. 8 3 Estonia...5. 8 4 United arab emirates...5. 7
258 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 9 7
1 New zealand...6. 7 2 Finland...6. 6 3 Ireland...6. 4 4 Hong kong SAR...
The Global Information technology Report 2014 259 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 8 7
1 Singapore...6. 1 2 Finland...6. 1 3 Hong kong SAR...5. 8 4 New zealand...
260 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 5 7
1 Finland...5. 9 2 Hong kong SAR...5. 6 3 New zealand...5. 6 4 Sweden...
The Global Information technology Report 2014 261 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 8 7
1 Finland...6. 2 2 Singapore...6. 1 3 New zealand...6. 0 4 Qatar...6. 0
262 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 United states...
19 2 Luxembourg...20 3 Japan...21 4 New zealand...22 5 Australia...23 5 Austria...
1. 07 Software piracy rate Unlicensed software units as a percentage of total software units installed 2011
SOURCE: Business Software Alliance, Shadow Market: 2011 BSA Global Software Piracy Study (ninth edition  2014 World Economic Forum
The Global Information technology Report 2014 263 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Ireland...
21 1 Singapore...21 3 Rwanda...23 4 Austria...25 5 Belgium...26 5 Luxembourg...
26 5 Netherlands...26 8 Czech republic...27 8 Hong kong SAR...27 8 Iceland...27 8 Latvia...
27 12 Australia...28 12 Botswana...28 12 United kingdom...28 15 France...29 15 Malaysia...
264 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Singapore...
150 2 New zealand...216 3 Bhutan...225 4 Korea, Rep...230 4 Rwanda...230 6 Azerbaijan...
266 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 9 7
1 Finland...6. 5 2 Sweden...6. 5 3 Norway...6. 5 4 Switzerland...6. 4
The Global Information technology Report 2014 267 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 2. 7 7
1 Hong kong SAR...4. 6 2 Qatar...4. 5 3 United states...4. 3 4 Norway...
268 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Macedonia, FYR...
8. 2 2 Timor-Leste...11.0 3 Qatar...11.3 4 Kuwait...12.4 5 Bahrain...13.5
The Global Information technology Report 2014 269 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 New zealand...
1 2 Georgia...2 2 Macedonia, FYR...2 2 Rwanda...2 5 Australia...3 5 Hong kong SAR...
270 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Canada...
1 1 New zealand...1 3 Armenia...2 3 Georgia...2 3 Kyrgyz Republic...2 3 Macedonia, FYR...
The Global Information technology Report 2014 271 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 9 7
1 Japan...6. 2 2 Taiwan, China...6. 1 3 United kingdom...6. 0 4 Malta...
272 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Korea, Rep...100.8
2 Finland...95.5 3 United states...95.3 4 Greece8...91.4 5 Puerto rico...86.5 6 Slovenia...85.1
United nations Education science and Culture Organization (UNESCO), UNESCO Institute for Statistics Data centre (accessed November 5, 2013; World bank
The Global Information technology Report 2014 273 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 2 7
1 Switzerland...6. 1 2 Belgium...6. 0 3 United kingdom...5. 9 4 Spain...5. 8
274 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 5 7
1 Qatar...5. 6 2 Singapore...5. 1 3 United arab emirates...5. 1 4 Malaysia...4. 8
276 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Iceland3...
54,817. 2 2 Norway3...29,244. 2 3 Canada3...18,510. 4 4 Kuwait...18,388. 0 5 Sweden3...
The Global Information technology Report 2014 277 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Azerbaijan...
100.0 1 Bahrain...100.0 1 Bhutan...100.0 1 Chile8...100.0 1 Colombia...100.0 1 Croatia...
3. 02 Mobile network coverage rate Percentage of total population covered by a mobile network signal 2012
SOURCE: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
1 2001 2 2003 3 2006 4 2007 5 2008 6 2009 7 2010 8 2011
278 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Luxembourg...
4, 088.5 2 Hong kong SAR...1, 426.6 3 Malta...625.8 4 Singapore...387.6 5 Iceland...
3. 03 International Internet bandwidth International Internet bandwidth (kb/s) per Internet user 2012 SOURCE: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
1 2004 2 2009 3 2010 4 2011 Â 2014 World Economic Forum The Global Information technology Report 2014 279
3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Iceland...3, 139.3 2 Netherlands...2, 803.7
3 Korea, Rep...2, 751.6 4 Switzerland...2, 282.2 5 Denmark...2, 214.3 6 Luxembourg...
1, 983.3 7 Norway...1, 878.9 8 Australia...1, 724.5 9 Malta...1, 627.8 10 Finland...
3. 04 Secure Internet servers Secure Internet servers per million population 2012 SOURCES: The World bank, World Development Indicators Online (December 2013 edition;
national sources 1 2010 2 2011 Â 2014 World Economic Forum 280 The Global Information technology Report 2014
3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 9 7 1 Iceland...6. 6
2 Finland...6. 5 3 Norway...6. 4 4 United kingdom...6. 4 5 Netherlands...6. 4
, fixed-line Internet, Wireless internet, mobile network, satellite 1â= not available at all; 7â= widely available 2012†2013 weighted average
282 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Liberia3...
0. 00 2 Sierra Leone3...0. 00 3 Hong kong SAR...0. 02 4 Sri lanka...0. 04
4. 01 Prepaid mobile cellular tariffs Average per-minute cost of different types of mobile cellular calls (PPP $) 2012
SOURCES: Author†s calculations based on International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
International monetary fund, World Economic Outlook (October 2013 edition; World bank, World Development Indicators (December 2013 edition 1 2009 2 2010 3 2011
 2014 World Economic Forum The Global Information technology Report 2014 283 3: Data Tables RANK COUNTRY/ECONOMY VALUE
1 Sri lanka...8. 22 2 Israel3...8. 39 3 Bangladesh...10.37 4 India...13.45 5 Mongolia...
14.01 6 Ukraine...14.17 7 Tunisia...14.42 8 Kazakhstan...14.60 9 Nepal...14.72 10 United states...
4. 02 Fixed broadband Internet tariffs Monthly subscription charge for fixed (wired) broadband Internet service (PPP $) 2012
SOURCES: Author†s calculations based on International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
International monetary fund, World Economic Outlook (October 2013 edition; World bank, World Development Indicators (December 2013 edition 1 2009 2 2010 3 2011
 2014 World Economic Forum 284 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE
1 Argentina1...2. 00 1 Australia5...2. 00 1 Austria6...2. 00 1 Belgium19...2. 00
1 Brazil6...2. 00 1 Burkina Faso19...2. 00 1 Canada6...2. 00 1 Chile16...
4. 03 Internet and telephony sectors competition index Level of competition index for Internet services, international long distance services,
and mobile telephone services on a 0-to-2 (best) scale 2010 or most recent SOURCE:
Authors†calculations based onâ International Telecommunication Union (ITU), ITU World Telecommunication Regulatory Database (accessed December 2013
286 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 7 7
1 Switzerland...6. 0 2 Finland...5. 9 3 Singapore...5. 8 4 Qatar...5. 8
The Global Information technology Report 2014 287 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 0 7
1 Singapore...6. 3 2 Finland...6. 3 3 Belgium...6. 0 4 Lebanon...5. 8
288 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Australia...
133.0 2 Spain...128.5 3 Netherlands...128.4 4 New zealand...119.8 5 Denmark7...119.5 6 Ireland...
United nations Education science and Culture Organization (UNESCO), UNESCO Institute for Statistics Data centre (accessed November 5, 2013; World bank
The Global Information technology Report 2014 289 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Estonia...
99.8 2 Latvia...99.8 3 Azerbaijan5...99.8 4 Georgia...99.7 5 Poland...99.7 6 Ukraine...
United nations Education science and Culture Organization (UNESCO), UNESCO Institute for Statistics Data centre (accessed November 5, 2013; national sources
292 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Hong kong SAR...
229.2 2 Saudi arabia...187.4 3 Kazakhstan...185.8 4 Russian Federation...182.9 5 Montenegro...181.3 6 Gabon...
International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition  2014 World Economic Forum
The Global Information technology Report 2014 293 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Iceland...
96.2 2 Norway...95.0 3 Sweden...94.0 4 Denmark...93.0 4 Netherlands...93.0 6 Luxembourg...
6. 02 Internet users Percentage of individuals using the Internet 2012 SOURCE: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
1 2011 Â 2014 World Economic Forum 294 The Global Information technology Report 2014 3: Data Tables
RANK COUNTRY/ECONOMY VALUE 1 Netherlands...97.2 2 Iceland...96.0 3 Bahrain...92.7 4 Denmark...
92.2 5 Luxembourg...92.0 5 Norway...92.0 5 Sweden...92.0 8 Qatar...91.5 9 New zealand...
91.2 10 Finland...88.0 11 Singapore...87.7 12 Germany...87.0 12 United kingdom...87.0 14 Brunei Darussalam...
6. 03 Households with a personal computer Percentage of households equipped with a personal computer 2012 SOURCE:
International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition 1 2005 2 2009
 2014 World Economic Forum The Global Information technology Report 2014 295 3: Data Tables RANK COUNTRY/ECONOMY VALUE
1 Korea, Rep...97.4 2 Iceland...95.0 3 Netherlands...94.0 4 Luxembourg...93.0 4 Norway...
93.0 6 Denmark...92.0 6 Sweden...92.0 8 Switzerland...90.0 9 United kingdom...88.6 10 Qatar...
International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition 1 2009
296 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Switzerland...
39.9 2 Netherlands...39.8 3 Denmark...38.8 4 France...37.5 5 Korea, Rep...37.2 6 Norway...
6. 05 Fixed broadband Internet subscriptions Fixed broadband Internet subscriptions per 100 population 2012 SOURCE:
International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition 1 2007 2 2008 3 2009
 2014 World Economic Forum The Global Information technology Report 2014 297 3: Data Tables RANK COUNTRY/ECONOMY VALUE
1 Singapore...126.1 2 Japan...115.1 3 Finland...106.6 4 Korea, Rep...105.1 5 Sweden...
104.9 6 Denmark...97.2 7 Australia...96.2 8 Bahrain...91.2 9 United states...88.2 10 Norway...
6. 06 Mobile broadband Internet subscriptions Mobile broadband Internet subscriptions per 100 population 2012 SOURCE:
International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition 1 2010 2 2011
 2014 World Economic Forum 298 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 5. 5 7
1 Iceland...6. 7 2 United kingdom...6. 6 3 Norway...6. 6 4 Netherlands...6. 6
5 Sweden...6. 5 6 Finland...6. 4 7 Malta...6. 4 8 Estonia...6. 4
6. 07 Use of virtual social networks *In your country, how widely used are virtual social networks (e g.,
, Facebook, Twitter, Linkedin? 1â= not used at all; 7â= widely used 2012†2013 weighted average
SOURCE: World Economic Forum, Executive Opinion Survey, 2012 and 2013 editions  2014 World Economic Forum
300 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 7 7
1 Sweden...6. 2 2 Iceland...6. 2 3 Switzerland...6. 1 4 United arab emirates...6. 1
The Global Information technology Report 2014 301 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 3. 6 7
1 Switzerland...5. 8 2 Finland...5. 7 3 Germany...5. 6 4 Israel...5. 6
302 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Japan1...
301.1 2 Sweden1...294.5 3 Switzerland1...293.5 4 Finland1...283.6 5 Israel1...215.8 6 Germany1...
Organisation for Economic Co-operation and Development (OECD), Patent Database, January 2014; World bank, World Development Indicators Online (retrieved
The Global Information technology Report 2014 303 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 8 7
1 Finland...6. 2 2 Switzerland...6. 2 3 Sweden...6. 1 4 Lithuania...6. 1
7. 04 Business-to-business Internet use *In your country, to what extent do businesses use ICTS for transactions with other businesses?
304 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 4 7
1 United kingdom...6. 3 2 Korea, Rep...6. 2 3 United states...6. 2 4 Netherlands...
7. 05 Business-to-consumer Internet use *In your country, to what extent do businesses use the Internet for selling their goods and services to consumers?
1â= not at all; 7â= to a great extent 2012†2013 weighted average SOURCE: World Economic Forum, Executive Opinion Survey, 2012 and 2013 editions
The Global Information technology Report 2014 305 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 0 7
1 Switzerland...5. 6 2 Finland...5. 5 3 Luxembourg...5. 4 4 Japan...5. 3
308 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 0 7
1 United arab emirates...5. 9 2 Qatar...5. 9 3 Singapore...5. 9 4 Malta...5. 7
The Global Information technology Report 2014 309 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Korea, Rep...1. 00
1 Singapore...1. 00 1 United states...1. 00 4 United kingdom...0. 97 5 Netherlands...0. 96
310 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 3 7
1 Rwanda...6. 2 2 United arab emirates...6. 1 3 Qatar...6. 0 4 Singapore...5. 9
312 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 3 7
1 Finland...5. 8 2 Korea, Rep...5. 7 3 Sweden...5. 7 4 United arab emirates...
The Global Information technology Report 2014 313 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Japan1...
118.9 2 Finland1...110.1 3 Sweden1...88.8 4 Korea, Rep. 1...87.8 5 Israel1...79.4
Organisation for Economic Co-operation and Development (OECD), Patent Database, January 2014; World bank, World Development Indicators Online (retrieved
314 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 1 7
1 Finland...5. 7 2 Qatar...5. 5 3 Estonia...5. 5 4 Sweden...5. 4
The Global Information technology Report 2014 315 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Luxembourg...
57.2 2 Singapore10...51.0 3 Switzerland...49.8 4 Sweden...47.6 5 United kingdom...47.2 6 Iceland...
Authors†calculations based on International labour organization ILOSTAT Database (retrieved November 29, 2013 1 1999 2 2000 3 2001 4 2002 5 2003 6 2004 7 2005 8 2006 9 2007 10 2008
318 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 2 7
1 Qatar...6. 1 2 United arab emirates...6. 1 3 Singapore...5. 9 4 Luxembourg...5. 9
The Global Information technology Report 2014 319 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 2 7
1 Iceland...6. 6 2 Finland...6. 6 3 Estonia...6. 5 4 Singapore...6. 3
320 The Global Information technology Report 2014 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 4. 1 7
1 Singapore...6. 1 2 United arab emirates...6. 0 3 Qatar...6. 0 4 Rwanda...5. 7
The Global Information technology Report 2014 321 3: Data Tables RANK COUNTRY/ECONOMY VALUE 1 Korea, Rep...1. 00
1 Netherlands...1. 00 3 Kazakhstan...0. 95 3 Singapore...0. 95 5 United kingdom...0. 92
and usefulness of government websites in providing online information and participatory tools and services to their citizens 2012
The Global Information technology Report 2014 323 The present section complements the data tables by providing additional information for all 54 indicators
that enter the composition of the Networked Readiness Index 2014 The number next to the indicator corresponds to
the number of the data table that reports ranks and scores for all economies on this particular indicator.
*The data used in this Report represent the most recent available figures from various international agencies and national authorities at the time when the
data collection took place. It is possible that some data have been updated or revised since then
1st pillar: Political and regulatory environment 1. 01 Effectiveness of lawmaking bodies *How effective is your national parliament/congress as a law
1. 07 Software piracy rate Unlicensed software units as a percentage of total software units installed 2011
This measure covers piracy of all packaged software that runs on personal computers (PCS), including desktops, laptops, and ultra
-portables, including netbooks. This includes operating systems systems software such as databases and security packages business applications; and consumer applications such as games
personal finance, and reference software. The study does not include software that runs on servers or mainframes.
For more information about the methodology, refer to the study available at http://portal. bsa. org/globalpiracy2011
/Source: Business Software Alliance, Shadow Market: 2011 BSA Global Software Piracy Study (ninth edition 1. 08 Number of procedures to enforce a contract
Number of procedures to resolve a dispute, counted from the moment the plaintiff files a lawsuit in court until payment
2013 The list of procedural steps compiled for each economy traces the chronology of a commercial dispute before the relevant court
A procedure is defined as any interaction, required by law or commonly used in practice, between the parties or between them
and the judge or court officer. This includes steps to file and serve the case, steps for trial and judgment,
and steps necessary to enforce the judgment. For more details about the methodology employed and the assumptions made to compute this indicator
324 The Global Information technology Report 2014 Technical Notes and Sources 1. 09 Time required to enforce a contract
Organization (UNESCO), UNESCO Institute for Statistics Data Centre (accessed November 5, 2013; World bank, World Development Indicators 2013 (December edition;
The Global Information technology Report 2014 325 Technical Notes and Sources 3. 02 Mobile network coverage rate
Percentage of total population covered by a mobile network signal 2012 This indicator measures the percentage of inhabitants who are
within range of a mobile cellular signal, irrespective of whether or not they are subscribers.
This is calculated by dividing the number of inhabitants within range of a mobile cellular signal by
the total population. Note that this is not the same as the mobile subscription density or penetration
Source: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
3. 03 International Internet bandwidth International Internet bandwidth (kb/s) per Internet user 2012 International Internet bandwidth is the sum of capacity of all
Internet exchanges offering international bandwidth measured in kilobits per second (kb/s Source: International Telecommunication Union (ITU), ITU World
Telecommunication/ICT Indicators Database 2013 (December 2013 edition 3. 04 Secure Internet servers Secure Internet servers per million population 2012
Secure Internet servers are servers using encryption technology in Internet transactions Sources: The World bank, World Development Indicators Online
December 2013 edition; national sources 3. 05 Accessibility of digital content *In your country, how available is digital content via multiple
platforms (e g.,, fixed-line Internet, Wireless internet, mobile network, satellite? 1=not available at all; 7=widely
available 2012†2013 weighted average Source: World Economic Forum, Executive Opinion Survey 2012 and 2013 editions
4th pillar: Affordability 4. 01 Prepaid mobile cellular tariffs Average per-minute cost of different types of mobile cellular
calls (PPP $) 2012 This measure is constructed by first taking the average per-minute cost of a local call to another mobile cellular phone on the same
network (on-net) and on another network (off-net. This amount is averaged then with the per-minute cost of a local call to a
fixed telephone line. All the tariffs are placed for calls during peak hours and based on a basic, representative mobile cellular pre
-paid subscription service. The amount is adjusted for purchasing power parity (PPP) and expressed in current international
dollars. PPP figures were sourced from the World Bank†s World Development Indicators Online (retrieved December 10, 2013
and the International Monetary Fund†s World Economic Outlook October 2013 edition Sources: Author†s calculations based on International
Telecommunication Union (ITU), ITU World Telecommunication /ICT Indicators Database 2013 (December 2013 edition International monetary fund, World Economic Outlook (October
2013 edition; World bank, World Development Indicators December 2013 edition 4. 02 Fixed broadband Internet tariffs
Monthly subscription charge for fixed (wired) broadband Internet service (PPP $) 2012 Fixed (wired) broadband is considered any dedicated connection
to the Internet at downstream speeds equal to, or greater than 256 kilobits per second, using DSL.
The amount is adjusted for purchasing power parity (PPP) and expressed in current international dollars. PPP figures were sourced from the World
Bank†s World Development Indicators Online (December 2013 and the International Monetary Fund†s World Economic Outlook
October 2013 edition Sources: Author†s calculations based on International Telecommunication Union (ITU), ITU World Telecommunication
/ICT Indicators Database 2013 (December 2013 edition International monetary fund, World Economic Outlook (October 2013 edition; World bank, World Development Indicators
December 2013 edition 4. 03 Internet and telephony sectors competition index Level of competition index for Internet services, international
long distance services, and mobile telephone services on a 0-to-2 (best) scale 2010 or most recent
This variable measures the degree of liberalization in 19 categories of ICT services, including 3g telephony, retail Internet access
services, international long distance calls, and international gateways. For each economy, the level of competition in each
of the categories is assessed as follows: monopoly, partial competition, and full competition. The results reflect the situation
as of 2010 for the majority of countries (for others, data are available as of 2009,2011, or 2012.
The index is calculated as the average of points obtained in each of the 19 categories for
which data are available. Full liberalization across all categories yields a score of 2, the best possible score.
For more information consult http://www. itu. int/ITU-D/ICTEYE/Reports. aspx Source: Authors†calculations based on International
Telecommunication Union (ITU), ITU World Telecommunication Regulatory Database (accessed December 2013 5th pillar: Skills 5. 01 Quality of the educational system
*How well does the educational system in your country meet the needs of a competitive economy?
1=not well at all; 7 =extremely well 2012†2013 weighted average Source: World Economic Forum, Executive Opinion Survey
2012 and 2013 editions 5. 02 Quality of math and science education *In your country, how would you assess the quality of math
326 The Global Information technology Report 2014 Technical Notes and Sources 5. 03 Secondary enrollment rate
Organization (UNESCO), UNESCO Institute for Statistics Data Centre (accessed November 5, 2013; World bank, World Development Indicators (December 2013 edition;
when data are missing, we apply a value of 99 percent for the purposes of calculating the NRI
Organization (UNESCO), UNESCO Institute for Statistics Data Centre (accessed November 5, 2013; national sources 6th pillar:
Public Switched Telephone Network using cellular technology including prepaid SIM CARDS active during the past three months
This includes both analog and digital cellular systems (IMT -2000, Third Generation, 3g) and 4g subscriptions, but excludes
mobile broadband subscriptions via data cards or USB modems Subscriptions to public mobile data services, private trunked
mobile radio, telepoint or radio paging, and telemetry services are excluded also. It includes all mobile cellular subscriptions that
offer voice communications Source: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December
2013 edition 6. 02 Internet users Percentage of individuals using the Internet 2012 Internet users are people with access to the worldwide network
Source: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
6. 03 Households with a personal computer Percentage of households equipped with a personal computer 2012
The proportion of households with a computer is calculated by dividing the number of households with a computer by the
total number of households. A computer refers to a desktop or a laptop computer. It does not include equipment with some
embedded computing abilities such as mobile cellular phones personal digital assistants (PDAS), or TV SETS Source: International Telecommunication Union (ITU), ITU World
Telecommunication/ICT Indicators Database 2013 (December 2013 edition 6. 04 Households with Internet access Percentage of households with Internet access at home
2012 The share of households with Internet access at home is calculated by dividing the number of in-scope households (where
at least one household member is aged 15†74) with Internet access by the total number of in-scope households
Source: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
6. 05 Fixed broadband Internet subscriptions Fixed broadband Internet subscriptions per 100 population 2012 This refers to total fixed (wired) broadband Internet subscriptions
that is, subscriptions to high-speed access to the public Internet†a TCP IP connection†at downstream speeds equal to
or greater than, 256 kb/s Source: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December
2013 edition 6. 06 Mobile broadband Internet subscriptions Mobile broadband Internet subscriptions per 100 population
2012 Source: International Telecommunication Union (ITU), ITU World Telecommunication/ICT Indicators Database 2013 (December 2013 edition
6. 07 Use of virtual social networks *In your country, how widely used are virtual social networks
e g.,, Facebook, Twitter, Linkedin? 1=not used at all; 7 =widely used 2012†2013 weighted average
Source: World Economic Forum, Executive Opinion Survey 2012 and 2013 editions 7th pillar: Business usage
7. 01 Firm-level technology absorption *In your country, to what extent do businesses adopt new technology?
1=not at all; 7=adopt extensively 2012†2013 weighted average Source: World Economic Forum, Executive Opinion Survey
2012 and 2013 editions 7. 02 Capacity for innovation *In your country, to what extent do companies have the
capacity to innovate? 1=not at all; 7=to a great extent 2012†2013 weighted average Source: World Economic Forum, Executive Opinion Survey
2012 and 2013 editions  2014 World Economic Forum The Global Information technology Report 2014 327
Technical Notes and Sources 7. 03 PCT patents applications Number of applications filed under the Patent Cooperation
Treaty (PCT) per million population 2010†2011 average This measures the total count of applications filed under the
Patent Cooperation Treaty (PCT), by priority date and inventor nationality, using fractional count if an application is filed by
multiple inventors. The average count of applications filed in 2010 and 2011 is divided by population,
using figures from the World Bank†s World Development Indicators Online (retrieved November 28,2012 Sources:
Organisation for Economic Co-operation and Development (OECD), Patent Database, January 2014; World Bank, World Development Indicators Online (retrieved December
20,2013 7. 04 Business-to-business Internet use *In your country, to what extent do businesses use ICTS for
transactions with other businesses? 1=not at all; 7=to a great extent 2012†2013 weighted average
Source: World Economic Forum, Executive Opinion Survey 2012 and 2013 editions 7. 05 Business-to-consumer Internet use
*In your country, to what extent do businesses use the Internet for selling their goods and services to consumers?
1=not at all; 7=to a great extent 2012†2013 weighted average Source: World Economic Forum, Executive Opinion Survey
2012 and 2013 editions 7. 06 Extent of staff training *In your country, to what extent do companies invest in
training and employee development? 1=not at all; 7=to a great extent 2012†2013 weighted average
of services include online presence, deployment of multimedia content, governments†solicitation of citizen input, widespread
data sharing, and use of social networking. For more information about the methodology, consult www2. unpan. org/egovkb
Development (OECD), Patent Database, January 2014; World Bank, World Development Indicators Online (retrieved December 20,2013
Organization ILOSTAT Database (retrieved November 29, 2013 Â 2014 World Economic Forum 328 The Global Information technology Report 2014
Technical Notes and Sources 10th pillar: Social impacts 10.01 Impact of ICTS on access to basic services
and usefulness of government websites in providing online information and participatory tools and services to their citizens 2012
The Global Information technology Report 2014 329 About the Authors Pedro Less Andrade Pedro Less Andrade is Director of Public Policy and
Government affairs for Latin america at Google. He holds a Law degree from the University of Buenos aires and
Caribbean Federation for Internet & E-commerce (ecom -Lac), a board member and head of the Regulatory
Commission at Argentina†s Internet Industry Chamber CABASE), and a member of the Legislative Commission of
in the telecommunications, technology, and media sectors He is a global leader of Mckinsey†s telecommunications
practice. Mr Beardsley has led Mckinsey†s Strategy practice in Europe, the Middle east, and Africa for the past seven
President of Eta Kappa Nu, the electrical and computer engineering honor society of the Institute of Electrical and
Information technology Report. Prior to joining the Forum Dr Bilbao-Osorio worked at the Directorate-General for
computation of a range of indexes as well as data analysis for various projects and studies. His main areas of expertise
of telecommunications-sector strategy development policymaking and regulatory management, digitization business development and strategic investments, and
corporate management as well as governance, operating models, and restructuring  2014 World Economic Forum About the Authors
330 The Global Information technology Report 2014 Soumitra Dutta Soumitra Dutta is the Anne and Elmer Lindseth Dean and
in the digital economy. Professor Dutta obtained his Phd in Computer science and his MSC in Business Administration
from the University of California at Berkeley. His current research is on technology strategy and innovation policies
and pricing in telecommunications fixed and mobile businesses) and energy. He co -leads Mckinsey†s global efforts in regulation, regulatory
telecommunications networks Peter Haynes Peter Haynes is a Senior Fellow at the Atlantic Council and
at Microsoft Corporation, where his focus was on long -term strategy and policy in areas including cybersecurity
big data, the Internet of things, and the economic impact of digital technologies. Previously Mr Haynes was New york
He is responsible for policy engagement and data -driven analytical research on technology issues related to the potential of IT and network connectivity for
expansion of fixed and wireless broadband, national broadband agendas, municipal strategies for ICT use Internet protocol network traffic demand, and Internet
governance. Previously he was a manager in Cisco†s Strategy and Economics group, guiding strategic direction
He focuses on advising telecommunications clients on strategy and technology topics in Europe, Africa, and
infrastructures such as fiber and mobile broadband. He has a strong record in ensuring that analytical findings are
articles for Mckinsey†s telecoms magazine Recall on 4g, mobile OTT, and frequency auctions. Mr Grijpink is
a member of the core faculty of Mckinsey†s leadership program for engagement management. Before joining
Mckinsey, he worked for Gemini Consulting in their high -tech consulting unit, where he served consumer electronics
an entrepreneur in the mobile Internet space. Mr Grijpink holds an MSC in Electrical engineering with a major in
Telecommunications from the Delft University of Technology  2014 World Economic Forum About the Authors
The Global Information technology Report 2014 331 Anant Gupta Anant Gupta is President and Chief executive officer of HCL Technologies Ltd.
information technology services company. He joined HCL in 1993, and has held since a series of leadership
Service as a smart sourcing alternative to utility computing and the first hosted pay-by-use Enterprise Systems
Affairs analyst at Google, focusing on privacy and security data-driven innovation, and accessibility. She received
a MIMS from the University of California, Berkeley. Ms Hemerly is a member of the International Association of
He leads the Big data/CRM Center of Excellence for Europe and the Middle east within Booz & Company
of strategies that capture value from data, and how to embrace opportunities from big data/advanced analytics
Bruno Lanvin Bruno Lanvin is the Executive director of INSEAD€ s European Competitiveness Initiative (IECI) and of Global
Indices projects at INSEAD (Global Information technology Global Innovation Index, and Global Talent Competitiveness Index). ) He is a Director on the Board of ICANN and
information technology, and development, he holds a BA in Mathematics and Physics, an MBA from Ecole des
Hautes Etudes Commerciales (HEC) in Paris, and a Phd in Economics from the University of Paris I †La Sorbonne
in data governance and personal data management. Her work is focused on shaping relevant long-term technology policies globally by engaging with stakeholders and raising
technologies, such as big data and the Internet of things on existing social, economic, and policy frameworks Prior to joining Microsoft, Dr Nguyen held positions with
Research in motion, Avaya Communications, Lucent Technologies, and Bell laboratories. She received her Phd in Electrical engineering from Columbia University, and
completed Executive Business Management Programs at Harvard Business school and London Business school  2014 World Economic Forum
332 The Global Information technology Report 2014 Alex â€oesandy†Pentland Alex â€oesandy† Pentlandâ directs MIT€ s Human Dynamics
Program, co-leads the World Economic Forum†s Big data and Personal data initiatives, and is a board member for
Nissan, Motorola Mobility, Telefonica, and a variety of start -up firms. He previously helped create and direct MIT€ s
Media Laboratory, the Media Lab Asia laboratories at the Indian Institutes of Technology, and Strong Hospital†s Center
powerful data scientists in the world, †along with Google founders and the CTO of the United states, and in 2013
computingâ (Google glass. His research has been featured in Nature, Science, and Harvard Business Review, as well as being the focus of TV features on BBC World,
Discover and Science channels. His most recent book is Social Physics, published by Penguin Press
wireless and spectrum policy, security, privacy, Internet governance, and ICT development. He joined Cisco in
promoting the development of the Internet, implementing telecommunications legislation, planning for the transition to digital television,
and designing and implementing the first US spectrum auctions. Dr pepper serves on the board of
the US Telecommunications Training Institute (USTTI) and advisory boards for Columbia University and Michigan State University, and is a Communications Program Fellow at the
Aspen Institute. He is a member of the US Department of Commerce†s Spectrum Management Advisory Committee
Analyst at Google. Currently based in Buenos aires, he works for the Spanish-speaking Latin america policy team
Before joining Google, he worked as a project manager of science, technology, and innovation consultancy projects in
at Google. Before joining the International Relations team Dr Ryan led the global policy strategy for Google†s cloud
in international policy matters at the Internet Governance Forum and other fora. Prior to joining Google,
he was a consultant and lawyer with more than 15 years of experience in the telecommunications sector.
 In addition, Dr Ryan is an Adjunct Professor (previously Faculty Director at the University of Colorado at Boulder†s Interdisciplinary
Telecommunications Program, where he taught Internet and telecommunications policy. He also holds an appointment as a Senior Affiliated Researcher with the Katholieke
Universiteit Leuven†s Interdisciplinary Center for Law & ICT. Dr Ryan was one of the founding board members of
the Information and Telecommunications Education and Research Association and has published several law review articles on spectrum, telecommunications, and Internet
regulation. Dr Ryanb received a JD from the University of Texas at Austin, an MBL in International Business Law from
lead author in the annual Global Information technology Report of the World Economic Forum since 2005.
Telecommunications Network Operators†Association ETNO), the European Competitive Telecommunications Association (ECTA), the Centre for European Political
Studies (CEPS), and Euractiv. Prior to joining Mckinsey Mr Sandoval worked with Colombia†s Presidency of
The Global Information technology Report 2014 333 Ramez T. Shehadi Ramez T. Shehadi is a Partner at Booz & Company, based
He leads the firm†s digitization platform globally and its Business Technology practice in the middle East
in telecommunications regulation. She is working for Mckinsey & Company†s global telecom practice and is
closely affiliated with the strategy practice regulatory service line. Between 2006 and 2010 she held the position of team
on mobile telecommunications research, and has served as the coordinator for Mckinsey†s marketing and sales
and Information technology from Stockholm University in Sweden and a Political science degree with a major in International law from à bo Akademi in Finland
before finding a home in technology and software, first in application and systems development and deployment and
TIBCO software to solve some of the most complex and rewarding global big data integration challenges
Walid Tohme Dr Walid Tohme is a Senior Principal with Booz & Company based in Beirut.
Dr Tohme leads the big data efforts for Booz & Company in the middle East  2014 World Economic Forum
The Global Information technology Report 2014 335 The World Economic Forum†s Global Competitiveness and Benchmarking Network is pleased to acknowledge
The Global Information technology Report 2014 would not have been feasible Albania Institute for Contemporary Studies (ISB
336 The Global Information technology Report 2014 Brunei Darussalam Ministry of Industry and Primary Resources Pehin Dato Yahya Bakar, Minister
The Global Information technology Report 2014 337 Gabon Confã dã ration Patronale Gabonaise Regis Loussou Kiki, General Secretary
338 The Global Information technology Report 2014 Korea, Republic of KAIST College of Business, the Korea Advanced Institute of
The Global Information technology Report 2014 339 Montenegro Institute for Strategic Studies and Prognoses (ISSP Maja Drakic Grgur, Project Manager
Ram Chandra Dhakal, Executive director and Adviser Mahendra Raj Joshi, Member Netherlands INSCOPE: Research for Innovation, Erasmus University
340 The Global Information technology Report 2014 Senegal Centre de Recherches Economiques Appliquã es (CREA University of Dakar
The Global Information technology Report 2014 341 United kingdom LSE Enterprise Ltd, London School of economics and Political Science
The Global Information technology Report 2014 343 Booz & Company is a leading global management consulting firm focused on serving and
The Global Information technology Report 2014, the 13th in the series, analyzes the drivers of ICTS
the role that big data may play in this process and the conditions that leading organizations will need to
The Global Information technology Report 2014 features the latest computation and rankings of the NRI and, referring to this year†s theme,
advent of big data. In addition, the Report includes detailed profiles for the 148 economies covered this year together with data tables for each of the 54 indicators used in the computation of the NRI
The Report is the result of a long-lasting collaboration, dating back to 2002, between the World
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