restricting the scope of the analysis. Another limitation refers to the predominantly quantitative character of the data collected,
and data is not commonly available for non-technological innovation as a proportion of firm employment or turnover.
Chapter 2 provides data on SME innovation performance and constraints across 40 economies and examines the major and new policies that have been introduced.
Definitions Supporting Frameworks for Data Collectionâ€, OECD Statistics Working papers, 2008/1, OECD Publishing, Paris, doi: 10.1787/243164686763.1.
New Evidence from Micro Data, Ch. 1, pp. 15-82, University of Chicago Press, Chicago.
and advertising data. 6 And †as we would expect of a dynamic, innovation value chain-based open innovation strategy †as its ability to capture value at different points in the innovation value chain shifts,
OECD trade data does confirm that the past decade saw a dramatic increase in the scale of international trades in knowledge services;
US data seems to suggest that SMES seem to have been increasing their R&d spending in past decades;
*Data was compiled not for 2009 Ireland is not alone in experiencing this decline in entrepreneurial activity.
allowing for data availability and any necessary time-lags. The portfolio approach adopted proved valuable as it allowed the analysis to focus not just on individual programmes,
According to EVCA data, all Irish VC firms have invested circa â 963 million in Irish firms since 200019.
IVCA data included investments by angel and investors and corporation that are considered not to be VC firms 23 PWC review 24 For example,
data required for evaluation purposes is not currently being collected or collated, and that this needs to be addressed.
and Collect and collate data required for programme evaluation, and in particular facilitate the delineation of activities/supports directed toward the stimulation of entrepreneurship and start-ups.
Appropriate metrics and approaches to data collection, collation and analysis should be identified at the outset relating to programme inputs, activities/processes, outputs and outcomes.
Key Indicators Database at:<<http://www. gemconsortium. org/key-indicators>Accessed 04 may 2012.24 Chart 1. Source:
s. Using data from The Annual Business Survey of Economic Impact (ABSEI), comparator groups from the wider population of Enterprise Ireland supported firms have been constructed, controlling for age of firm, numbers employed, turnover and sector44:
For survival rates, CRO registration data for 2004-2006 provides a reference group for companies†trading status up to early 2011.
using the rich data collected annually from agency supported firms. A previous review of HPSU supports was carried out by Enterprise Ireland in 2010.
A database of 150 private investors, serial investors and international investors has been developed who regularly receive profiles of client companies in sectors that match their knowledge domain.
I grade of In apply taken in set at 60 rural an The data generati was 3. 98 domesti 51 Data f 52 Costs uses th NPV of attache Book
HPSU inancial retu he effects of Cost-Benefit n ABSEI data d where app e HPSU cohor t on the wid on Irish-sour payments fo
Ho tically overest or the deadwe 3 edition) rt from the ind ups, 2004-2 20 years has met dividual Source data nt companies ear period, w ls,
The G opment agenc 64. 9m ble data e 2005 data was 2006 as sourced he ly) were salary funds is weight is Us in HPSUS it r of s a rnative that the be Green
and Recipients†feedback on the importance of Enterprisestart in attaining HPSU status. A limitation in terms of data collected was identified during the course of the evaluation.
A limitation in terms of data collected was identified during the course of the evaluation. Entrepreneurs may be registered formally on the internal monitoring system,
and whether it is value for money, due in part to a lack of data,
Increase It is too Howeve participa data ind noted th Sales: 41 participa twelve m Exports:
star opel in term e data on bot of sales, exp cant impact o incorporate dy experienc er 54 per ce enced some e ed to realise orts to increa perienced so ramme. 68 pe er cent expec
Grant Connections, Evaluation of the Propel Programme, February 2011, Enterprise Ireland data and Forfã¡s analysis Effectiveness Effectiveness covers the extent to
Data on the progression of participants from the pilot phase to become HPSU/Pre-HPSU is not available.
and the Ideagen events. 71 Data on the progression of participants from the pilot phase to become HPSU/Pre-HPSUS is not available 90 Any displacement effect of Ideagen is small.
The data on the Enterprise Ireland partner funds is provided in terms of the two separate Schemes as it is not generally possible
EU level data shows that seed capital funds typically experience greater challenges than VC funds in raising private capital
and over US$3. 1 trillion in revenue in the United states representing 11 per cent of private sector employment and 21 per cent of GDP (2010 data).
They provide data on the partner funds themselves and on the investments they make in terms of the size of individual investments in companies, the company†s stage of development and
A note of caution relates to the challenges faced in providing comprehensive and comparative data for seed and VC funding.
The analysis below is based on data from the Enterprise Ireland Seed & Venture capital Programme Annual Reports and data provided from the European Venture capital Association (EVCA).
The EVCA compiles data provided to it by national VC associations. The irish Venture capital Association (IVCA) is the relevant body in Ireland.
Companies and entrepreneurs benefit from an expanded pool of funds available for export oriented high technology start-ups
and scaling companies Data from the EVCA shows that Irish VC firms have invested circa â 963 million89 in Irish firms since 2000.
Private funds are attracted into The irish market Data from the IVCA states that there has been â 3 billon of investment in Irish SMES since 200091.
The IVCA data is broad in scope and includes investments by angel investors and corporations that are considered not to be VC firms.
However, it should be noted that the IVCA data is quite broad in scope and includes investments by angel investors
They also have engaged in high levels of follow on funding. 93 Specific data on fund management
The OECD data shows that VC investment in Ireland still only accounts for a small proportion of GDP
Germany France UK Canada USA 2009 2008 2005 2000-2003 108 Data on the numbers of investments and the numbers of companies invested in by Irish Seed
Secondly, data from the IVCA indicates that, aside from the EI partner funds, further private VC investment has been attracted into Irish based SMES.
Secondly, data from the IVCA states that there has been â 3 billon of venture, angel and related investment in Irish SMES since 200099.
the IVCA data is broad in scope and includes investments by angel investors and corporations that are considered not to be VC firms.
Data on this is not available due to commercial and confidentiality considerations102. Over the medium to longer term, there are also real and positive impacts associated with the programme in terms of employment,
Based on a range of data sources, it is estimated that each year on average a typical CEB: Handles some 800 to 1, 000 queries;
Using 2009 data this averages out as follows per individual CEB: Average per CEB â †000 Current costs 383 Measure One Grants 269 Measure Two Grants 304 Total 956 The CEBS operate within national policy
Data for 2010 and 2011, where available has also been used. The methodology follows the template for entrepreneurship and start-up programmes, developed in the Forfã¡
The methodology included analysis of the data contained in the management information systems operated by the CEBS,
existing reports and data provided by the Central Co-ordination Unit in Enterprise Ireland, case studies of 7 CEBS119 including office visits and analysis of locally available data, a survey of former SYOB participants,
a client focus group, specific enquiries to CEBS, and an international literature review. The CCU has facilitated greatly this evaluation by providing aggregate data on the CEBS activities.
As a large part of the period under review predated the CCU established in 2007, there were considerable data challenges associated with this evaluation. 117 Report of the Enterprise Strategy Group, Ahead of the Curve, 2004 118 Framework for Evaluation of Enterprise Supports, 2011, Forfã¡
s 119 The case studies included a representative sample of CEBS, taking into account location, urban/rural split and size.
It is also worth noting that the data currently being collected is not done for the purposes of evaluation in that the data appropriate to monitoring the impact of the CEBS activities is not generally available.
together with an allocation of share of the current costs of the CEBS. 120 The data gathered by the CEBS
Analysis of CCU data The Central Co-ordination Unit collects data on the number of participants on training courses,
Based on the data from the Central Co-ordination Unit and the results of a complementary survey122, it has been estimated that 52 per cent of attendees at training courses run by CEBS were from new start ups.
Analysis of CCU data and CEB survey: includes indirect costs Over the period 2008-2010 the total expenditure by CEBS on start-up supports is estimated at between â 18. 8m and â 17m per annum.
the available data do not enable this to be encapsulated easily. There are two reasons for this:
Derived from CCU data Over the period 2004 to 2010 as a whole, the vast bulk of the grants made were in respect of capital or employment projects.
Derived from CCU data 134 Note: The data in Table 9. 11 above includes grants from both the European Regional Development Fund and the European Globalisation Fund.
The new CEB Financial Instruments of Feasibility/Innovation, Priming and Business Expansion came into being in November 2009
so that is the reason for there being no data entries before that time. There is evidence that in 2010 the average grant size fell
Derived from CCU Data Start Your Own Business Training A total of 18,899 individuals participated in SYOB soft support courses from 2005-2010 (data is unavailable for 2004.
Derived from CCU data The analysis conducted for this evaluation indicates that 80 per cent of financial supports are directed to start-up enterprises,
Precise data are not available to measure these attributes †however we have looked to job creation estimates for all grant aided firms as an indicator of the scale of impacts.
Derived from CCU data These metrics indicate that the CEBS have become more efficient over more recent years (Table 9. 24.
The survey data indicates a high start-up rate but unfortunately, the response from course participants from former years is too low to enable longevity to be assessed.
Precise data are not available to measure these attributes. However, the analysis indicates that over the seven year period under review approximately 5, 400 start-up companies received financial supports.
Analysis of the CEB activities for policy-making purposes requires data which are not currently being collected
Existing databases in the CEBS should be used to track the experience of grant recipients and course attendees so as to facilitate measurement of the impact of CEB activities.
and Collect and collate data required for programme evaluation, and in particular facilitate the delineation of activities/supports directed toward the stimulation of entrepreneurship and start-ups.
Open innovation in SMES has been examined in a few studies based on large quantitative databases 5. These pioneering articles have explored why SMES engage in open innovation activities,
To convert these minimal pressure differences into a convenient tool for recording weather data the metal cells were brought into contact with a liquid that reacts to these small differences accurately
Analysing empirical data for EU companies, the report 7 shows that â€oeinnovative companies are more likely to exportâ€,
published innovation performance data from the Innovation Union Scoreboard (IUS) 11 and the Regional Innovation Scoreboard (RIS) 12 has been used to benchmark performance against the EU-27 average and the UK.
albeit with older RIS data and against fewer indicators, the business community in Ireland tended to be better across the following metrics:
supporting the idea that a relatively large well-educated workforce is available to the ecosystem. •There is a gap in the data for financial organisations regarding venture capital in Northern ireland,
although recent analysis of BVCA data suggests that just over 2%of UK-wide VC investment between 1989 and 2010 was in Northern ireland. 13 From EU-wide metrics Ireland in 2011 lags
and the 2009 RIS uses data from 2004 and 2006 for all EU27 regions. 13 Northern ireland Science Park,
that of moderate innovator. 14 In the absence of data to assess the performance of each category of innovation actor,
The data on human resources help form a view on firms†absorptive capacity. A significant majority of past innovators (68%)said they possessed ambition to grow.
While there is limited data to benchmark their contribution, Intertradeireland research from 2009, on the design services sector on the island, suggested that such services were utilised under both because of lack of design companies (the sector is approximately one third the relative size of the UK€ s) and also a lack of understanding of the application and benefits
While data exists on trade balances for virtually all nations, data on the extent of export discounts
and import restricting (especially through non-tariff barri-ers) are difficult to obtain. Despite this
A database of entrepreneurs could be established and managed by the LEOS or Enterprise Ireland, as a national registry.
and monitor performance data to ensure that actions taken are showing positive results. Until now there has been designated no †entrepreneurship policy unit†within the Government system that seeks to coordinate response and programmes across government for startups.
The data for this information does exist; however, it is not accessible because of the variety of systems in
which the data is kept--between Revenue, the Company Registrations Office, and other sources. Use of up-to-date performance data to monitor startup levels will be important.
The Forum proposes the establishment of a †Startup Monitor†by the Department of Jobs,
The collation of appropriate metrics could be supported by relevant available data obtained from the Revenue Commissioners.
Entrepreneurial Networks & Mentoring 49 6. Access to Markets 50 6. 1 First time Exporters 50 6. 2 Clustering Programme 51 6. 3 Public
National Policy Statement on Entrepreneurship in Ireland14 CSO data indicates that in 2011 there were almost 190
%).This data suggests there is perhaps untapped potential amongst females, youth, seniors and migrants and that they should be encouraged to consider an entrepreneurial career.
It is based on analysis of comprehensive data sets from more than 120 countries that marshal information about the â€oe3as†of development:
Altogether, the index construction integrates 31 variables, 16 from GEM and 15 from other data sources, into 14 pillars and three sub-indexes.
Ireland 19 61.8 Brazil 81 30.4 Puerto rico 20 61.7 Bangladesh 121 13.8 Using this entrepreneurship-related data to compare countries,
Using this data we will create an accurate picture of the entrepreneurship ecosystem in Ireland.
and data for Ireland compiled across international benchmarks. This analysis will reveal the particular conditions that are driving high
Data on take-up of the scheme is not yet available. National Policy Statement on Entrepreneurship in Ireland 27 2. 1. 3 Share Based Remuneration In private Companies Share based employee remuneration can significantly reduce fixed labour costs
according to CSO data for the period 2007 to 2012. This suggests there is a strong need to ensure that the framework conditions
including actuaries and statisticians for the purposes of developments in Big data and occupations in engineering, financial services,
KTI) KTI will create a searchable national database of licencing opportunities in order to increase the visibility of research opportunities to industry.
the DJEI will develop a simple open database to attract new mentors. A working group will implement changes to broaden its scope (particularly including mentoring to help enterprises scale),
Officehours. ie is a database of experienced Irish entrepreneurs who voluntarily give their time to advise startups.
-Create a simple mentors database to which new types of mentors (volunteer entrepreneurs or serving executives) would be attracted.
and awareness events and are supported in the development of a market plan for their priority target market. 6. 2 Clustering Programme Enterprise Ireland†s pilot clustering programme was established in 2012 to encourage groups of businesses to collaborate to achieve specific business objectives,
evidence based case for the viability of their proposed solution (for example a desk based feasibility study with some supporting practical work/data).
and advantages afforded by the digital economy. Some sectors, such as travel, accommodation, electronic goods and services, have already been transformed by digital trading.
The data for these indicators will collated by by DJEI in collaboration with the relevant agencies. The attached tables of indicators are not exhaustive
and data for Ireland compiled across international benchmarks. Many of the performance indicators listed below focus on output.
Rates for enterprise at 5 years CSO 48.4%The performance indicators identified above are not exhaustive (for example the data on startups
The data values for each variable are gathered from a wide range of sources. Appendix 3:
Historic post-recession economic data suggest that private-sector R&d spending will also increase in 2014.
according to historic data from the National Science Foundation. Research intensity has been correlated with macroeconomic growth, and has been the foundation of U s. technological innovation.
Forecasting must also accommodate updates and corrections to historic economic data. For example, this 2014 Forecast incorporates a revision of the NSF€ s 2011 baseline research expenditures1.
as well as the most recent data (2011) from the NSF€ s Business R&d and Innovation Survey (BRDIS.
which comprehensive data are available. Several institutions exceeded $1 billion in research that year, including Johns hopkins university (including the Applied Physics laboratory), the University of Michigan at Ann arbor, the University of Washington at Seattle,
and certain regulatory requirements like â€oemeaning-ful use†of electronic data will accelerate new markets and healthcare efficiency,
REFERENCES AND METHODOLOGY ENDNOTES RESOURCES 1 During 2013 the release of new data from NSF modified the historical data for industry
Economists David Autor and Mark Dugan argue that the SSDI eligibility application process should focus on objective data with specific maladies for
â€oethe evidence in these data is that hours of work are, as found in much of the previous work,
accessed October 15, 2013), http://dx. doi. org/10.1787/strd-data-en. 18. Luke A. Stewart and Robert D. Atkinson, â€oeuniversity Research Funding:
A Profile†(HFCA, July 2000), 12, http://www. cms. gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Thechartseries/Downloads/35chartbk. pdf
accessed October 15, 2013), http://dx. doi. org/10.1787/lfs-data-en. 41. Social security administration, Disability insurance Benefit Payments (annual benefits paid from the DI Trust fund;
Author calculations using data from SSDI website. See: Social security administration, 2013 OASDI Trustees Report (Table V. A3.
Congressional Budget Office, Historical Budget Data Statistics (historical data on revenues, outlays, and the deficit or surplus for fiscal years 1973 to 2012;
for Big data 53 3. 4 Winning Abroad 55 3. 5 Integrated Licensing Application Service 56 3. 6 Local Enterprise Offices 57 3
%80,000 The latest CSO data, shows that 80,000 additional people are compared at work to Q1 2012
ï§launch of an Open Data Portal for access to public sector databases; ï§launch of an Energy efficiency Fund and other measures such as raising standards in the retrofitting of homes;
Benchmark metrics are supplemented with key data from the annual surveys of the Enterprise Agencies, such as employment, expenditure, sales,
with the CSO data indicating that some of the largest employment increases have been in the domestic economy 5 Framework for the Evaluation of Enterprise Supports (2011), Forfã¡
across a range of areas including ICT, data analytics, international sales, engineering and entrepreneurship in initiatives such as the ICT Skills Action Plan, Springboard and Momentum.
ï§Significant energy related developments such as the substantial number of data centres that are major users of energy with green credentials
and our recognised success in Big data and data analytics; ï§Grid integration of renewables, with associated †smart grid†components.
DJEI data indicates that currently 7 per cent of sales of indigenous firms is from new products and services,
including fit-for-purpose data infrastructure (see Section 3. 3 below). In 2014 Knowledge Transfer Ireland was launched
Manufacturing Step Change, National Health Innovation Hub, Competitive Ecosystem for Big data, Winning Abroad, Integrated Licensing Application Service, Local Enterprise Offices, Trading Online,
DJEI, D/Health, EI, Joint Agency Project Team, Oversight Group) 2015 ACTION PLAN FOR JOBS 53 3. 3 Competitive Ecosystem for Big data
Building world class data management infrastructure. The overall ambition of the Disruptive Reform is to build on existing enterprise strengths to make Ireland a leading country in Europe in the area of Big data and Data Analytics.
A number of significant initiatives and investments were progressed in 2013 and 2014 in partnership with the enterprise sector
On behalf of the Task force on Big data, DJEI commissioned a review of Ireland†s progress towards achieving this goal
and in 2014 the Government launched the Open Data Portal to act as the primary source of public sector datasets.
However in the face of strong European and international competition in this area the Task force has identified a number of new actions that will harness Big data for employment growth.
and develop a specific Big data agenda clarifying its leadership goals; 2. Building on our research strengths consolidate Ireland†s leadership position in Big data/Data Analytics within Horizon 2020
and continue to promote engagement by enterprise in Ireland; 3. Continue to implement the recommendations of the EGFSN€ s report â€oeassessing the demand for Big data and Analytics Skillsâ€;
4. Develop a coherent ecosystem to bridge the gap between R&d and innovation and take-up;
and 5. Develop an internationally competitive Data infrastructure. In light of the new policy actions required in 2015 the mission
and focus of the Big data Task force will be renewed to provide effective overarching coordination and monitoring to ensure that the strategic goals are achieved.
The Big data market is in an emerging phase of development and in order to achieve the benefits of data-driven innovation,
policy must take into account the full data value cycle and the role of all stakeholders. By focusing on developing a coherent ecosystem Ireland can bridge the gap between R&d
innovation and adoption and take the lead in developing concrete solutions and applications. An important element of the ecosystem for data-intensive companies operating in Ireland is the system of data protection
and the arrangements in place to ensure a robust approach to data protection consistent with EU law and international treaties.
and will progress a range of actions in 2015 (as set out below) in this regard. 54 2015 Actions Big data 86 Renew the mission
and focus of the Big data Taskforce with the goal to oversee progress towards the strategic goals of the Disruptive Reform.
Task force on Big data, DJEI) 88 Monitor progress annually, based on the KPIS, and produce a report updating/revising the main actions.
Task force on Big data, DJEI) 89 Oversee the implementation of the actions arising from the IDC review
Task force on Big data, DJEI) 90 The Task force on Big data will review the opportunities for Ireland arising from the Internet of things
Task force on Big data, DJEI, IDA) 91 Establish interdepartmental committee on data protection issues and related structures.
The RFT reflected the requirements of licensing authorities including managing licence application forms, registration of licensees, managing licence applications and renewals, remittance of licence fees, transmission and security of data
The digital economy represents 5 per cent of GDP, is growing at approximately 20 per cent per year
and examined on a monthly basis granular data from both the Bank of Ireland and the AIB.
It is important to recognise that in relation to commercial entities the type of data available varies in terms of both quality
and data and as such part of the work of the SME State Bodies group will involve engaging with commercial entities around the issue of improving the provision of data on SME lending.
and monitor data, including Central bank data, on lending to SMES from both bank and non-bank sources, including the full range of state sponsored initiatives and report on this issue to the Cabinet Committee on Economic Recovery and Jobs twice yearly.
SME State Bodies Group) 105 Detailed data from AIB and Bank of Ireland will be collated and examined, on a monthly basis ensuring a more informed understanding of the SME bank lending environment,
with a particular focus on new lending. D/Finance, Credit Review Office) 106 Following the passing of the appropriate primary legislation implement
This data suggest that 70 per cent of Irish SMES and large corporates use trade credit.
The latest available data shows that exports of Irish goods and services have risen to a record â 184 billion in 2013
EI) 143 Build on Phase One of the Pilot Industry-led clustering initiative involving fifty companies by implementing the recommendations of the clustering Review carried out in 2014.
ï§Improved efficiency and accuracy of internal business processes as a result of improved accuracy and consistency of databases across public and private sectors;
which will improve logistical efficiency, the accuracy of databases across both the public and private sector and planning and analysis capabilities in both sectors.
DAFM) 242 A Memorandum of Understanding covering enhanced data cooperation between Revenue and the CSO to produce wider and deeper statistical analyses will reduce the administrative burden on businesses arising from CSO surveys.
su Theref Health to wor with th Two si betwe manag first pr â€oepatien patien data fr develo is targe throug
ï§targeted support for the beef sector via the highly innovative Beef Data and Genomics Programme;
Arts Council of Ireland, DAHG) 319 Continue to develop cultural digitisation initiatives in order to enhance Ireland's roots tourism offering.
The initial phase of the project will advance the digitisation of a significant part of the Schools'Collection in time for the centenary of the 1916 Rising.
Iot will generate huge volumes of data though smart connected objects leading to challenges around quality and interoperability that will have to be addressed.
In 2015 the Taskforce on Big data will assess the most appropriate policy response to this new and emerging opportunity
and job creation. 2015 Actions Internet of things 352 The Task force on Big data will review the opportunities for Ireland arising from the Internet of things
Task force on Big data, DJEI, IDA) 11.5 Innovative/Advanced Manufacturing By 2020 manufacturing will be different from
and ï§Big data in manufacturing: better use if data is derived from process and product analytics.
In addition, the existing Principle Investigators in NIBRT are developing a research plan to get started in ADC manufacturing in collaboration with other centres such as SSPC (Synthesis
-Intellectual Property in Enterprise 3. 3-Competitive Ecosystem for Big data 10-RD&I 11-New Sources of Growth 7. 2 Increase researchers employed in industry Foreign
BPFI Banking & Payments Federation Ireland BRIC Brazil, Russia, India and China CCMA County and City managers Association Ceadar Centre for Applied Data Analytics Research
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