Synopsis: Time & dates:


ART18.pdf

Received 11 march 2008 Received in revised form 6 april 2009 Accepted 15 july 2009 The sustainable transformation of infrastructure sectors represents a challenge of prime importance worldwide.

Due to long life times of infrastructures, strategic decision making has to explicitly consider uncertainties in context conditions,

The present paper argues that foresight informed strategic planning, allows addressing trade-offs related to context uncertainties,

2009 Elsevier Inc. All rights reserved. Keywords: Regional foresight Strategic planning Participation Infrastructure 1. Infrastructure planning and foresight In OECD countries, most infrastructure sectors such as electricity supply, water supply and sanitation were constructed over the 20th century by implementing a narrow

socio-technical paradigm of central generation plants with wide area distribution networks. The presumed superiority of this paradigm relied on a series of assumptions,

and the politically set criteria of effective, homogenous and affordable infrastructure services 2. It is fair to say that this socio-technical constellation has been highly successful over the past decades.

Nowadays infrastructure organizations are confronted with an increasing amount of future uncertainty 3 that calls for a fundamental reconsideration of the former success model, at least in three respects:(

Over the past decades, strategic planning in these sectors was focused mostly on narrowing down context uncertainties, value considerations and system configurations to reduce complexity and ease implementation 1, 4. Given the increased range of uncertainties,

these approaches are often deficient with regard to addressing the broad range of uncertainties associated with the long planning horizon (more extensively treated in 5). Technological forecasting & Social Change 76 (2009) 1150 1162 Corresponding

0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi: 10.1016/j. techfore. 2009.07.008 Contents lists available at Sciencedirect Technological forecasting

and suggesting implementation strategies 7. In the present paper, we want to build on foresight methods for improving strategic decision making in infrastructures through the method of Regional infrastructure foresight RIF.

In the present paper, we aim at explicating the contribution of the foresight approach to the identification of trade-offs.

Due to the long life time of their key technical components and the strong coupling between technological and institutional structures they exhibit strong path dependencies 11.

They are particularly strong in OECD countries where infrastructure networks have been established since decades. In the social science literature, the couplings have been described as socio-technical regimes.

Given the long life times of most infrastructures, strategic investment decisions will only take place every couple of decades.

For almost one hundred years in industrialized countries, infrastructure 1151 E. Störmer et al.//Technological forecasting & Social Change 76 (2009) 1150 1162 organizations have been optimizing to guarantee the provision of homogeneous and affordable services.

Today a balanced consideration of environmental, social and economic aspects is necessary 16. Strategic planning processes are a key for determining the appropriateness,

performance and sustainability impacts of infrastructures over their long life time. Changes in context conditions outside the considered range may entail very costly adaptation measures (see e g. 17),

a more elaborate and open approach to strategic planning seems very timely. 2. 2. Foresight supporting infrastructure planning Foresight methods have been developed over the past decades to explicitly address substantial uncertainties in technology development.

In line with this shift of attention, foresight was conceived mainly as an informing policy task until the 1970s,

Land use transportation scenario planning projects have been carried out since the late 1980s in the US 37. In particular metropolitan transportation has moved from a supply-side focus siting facilities to meet projected demands toward a more 1152 E. Störmer et al./

/Technological forecasting & Social Change 76 (2009) 1150 1162 integrated system-and demand-management perspective 38, p. 4. Some scenario projects show a variety of different land use

but is rather an important first step in an overall strategic planning process (Coates 1985 cited in 25).

and system alternatives for an infrastructure system in the time horizon of 25 years which is congruent with the expected average lifetime of central infrastructure components.

The RIF process typically runs for nine months during which several working groups interact in a highly structured way.

/Technological forecasting & Social Change 76 (2009) 1150 1162 actors. The core team selects approximately a dozen stakeholder representatives according to their influence and affectedness 61.

board minutes and stakeholder interviews, they identify the strength and weaknesses of the prevailing technical and organizational setup to address claims from customers, public, regulatory bodies and the affected environment 62.

and uncertain factors for further analysis. During the first stakeholder workshop the participants project different possible states of each of the factors in the year 2030+of each of the suggested influencing factors.

They construct the context scenarios for the year 2030+discursively by describing coherent and plausible scenarios that are regional specific 63,64.

/Technological forecasting & Social Change 76 (2009) 1150 1162 For analyzing these trade-offs, we have developed two graphical representations of the assessment data.

This may indicate risks that have to be considered before implementing the solution. The lower circle calls for some caution in discarding these options

we introduce a second visual representation of the data (see Fig. 3). As a first dimension,

(i e. balanced) basis. The location of options in Fig. 3 may now be interpreted as follows: a coincidence of social and sustainability assessments is given

if points are located in the diagonal area pointing to the upper right corner. Points to the left of the diagonal indicate potential sustainability deficits as the option is more desirable from the average stakeholder groups'perspective than from a balanced sustainability perspective.

On the other hand, the vast amount of discursive material assembled during the nine month process is very difficult to grasp

/Technological forecasting & Social Change 76 (2009) 1150 1162 participate in the different stages of the process.

Connection rates of households to centralized wastewater treatment plants rose from form 15%in 1965 to 97%in 2005.

The assets built up during these decades amount to approximately 100 Billion euros 68. Today however, there is a high need for repair and renewal.

The sanitation system has limited flexibility to adapt to changing context conditions as its key technical components have a very long life time (e g. sewer system last 80 years,

wastewater treatment plants last 25 years 17). Communities own and operate most of the sanitation systems.

/Technological forecasting & Social Change 76 (2009) 1150 1162 Based on a national analysis of The swiss sanitation system 69 and a call for participation in innovative strategic planning processes,

These cases were run between late 2006 and early 2008. In the next section, we present the process

to 2. 5 full time equivalents each. The plant operating organizations are associations of communities,

and thus lack employees to guarantee 24 hour availability. Therefore, the idea of an organizational integration of the associations had been raised.

In the first workshop, the stakeholders elaborated four alternative scenarios describing context conditions in the year 2030+based on the set of influencing factors

/Technological forecasting & Social Change 76 (2009) 1150 1162 the prevailing technical structure and the autonomy of the existing organizations.

Environmental impact ranked only second in their priorities. In contrast, the industry's stakeholders favor besides low tariffs, additionally low levels of bureaucracy as well as voice and participation in the associations decision board. 4. 4. Exploring the trade-off landscape The virtual future stakeholder groups

/Technological forecasting & Social Change 76 (2009) 1150 1162 and a forceful coordination of regional sanitation services.

a transitory organization would be necessary to implement a stepwise decision process taking place over one or two decades.

One year later the political decision making process approved this plan that first foresees an intensified collaboration of joint human resource management leading to joint ownership of facilities

/Technological forecasting & Social Change 76 (2009) 1150 1162 The elaboration of a joint system representation by the different organizations in the Kiese catchment furthermore prepared the ground for intensified collaboration and shared visions.

options and timing aspects of a conjointly favorable course of action could be elaborated. At the same time, open issues associated with the merger option could be identified

In this process the result was a radically different solution compared to an earlier recommendation gained in a conventional planning process less than two years earlier:

and outlook In this present paper we developed and applied an explorative oriented approach to strategic decision making in infrastructure planning.

We argued that due to the long life times of key technical components of these sectors

Members of the core team had to invest about seven full days over a nine months period for participating in the RIF procedure.

The affiliations of the core team members in the decision making bodies guaranteed the persistence of the argumentative structure in later stages of the planning process.

/Technological forecasting & Social Change 76 (2009) 1150 1162 Acknowledgements The project Regional infrastructure foresight was funded by The swiss National science Foundation within the National research Program 54 Sustainable development of the Built Environment.

References 1 I. Dyner, E. R. Larsen, From planning to strategy in the electricity industry, Energy Policy 29 (13)( 2001) 1145 1154.2 D. Dominguez

Rev. 51 (2)( 2009) 30 50.3 OECD, Infrastructure to 2030: Telecom, Land Transport, Water and Electricity, OECD Publishing, Paris, 2006.4 B. Flyvbjerg, Policy and planning for large-infrastructure projects:

B 34 (2007) 578 597.5 D. Dominguez, B. Truffer, W. Gujer, Tackling uncertainty in infrastructure sectors through strategic planning.

I. Miles, M. Butter, G. Sainz, Global Foresight outlook 2007, Mapping Foresight in Europe and the rest of the World, EFMN, Manchester, 2007.7 E. A. Eriksson, K

Change 75 (4)( 2008) 462 482.8 A. Salo, K. Cuhls, Technology foresight past and future, J. Forecast. 22 (2 3)( 2003) 79 82.9 P

Technol. 49 (5 6)( 2004) 35 37.10 T. Larsen, W. Gujer, Waste design and source control lead to flexibility in wastewater management, Water Sci.

Technol. 43 (5)( 2001) 309 318.11 J. Markard, B. Truffer, Innovation processes in large technical systems:

Pol. 35 (5)( 2006) 609 625.12 A. Rip, R. Kemp, Technological change, in: S. Rayner, E. L. Malone (Eds.

, Futures 41 (2009) 80 86.14 F. W. Geels, The hygienic transition from cesspools to sewer systems (1840 1930:

Pol. 35 (7)( 2006) 1069 1082.15 C. R. Schwenk, The Essence of Strategic decision making, Lexington Books, Lexington, 1988.16 T. A. Larsen, W. Gujer

Technol. 35 (9)( 1997) 3 10.17 D. Dominguez, W. Gujer, Evolution of a wastewater treatment plant challenges traditional design concepts, Water Res. 40 (7

)( 2006) 1389 1396.18 I. Miles, J. Cassingena Harper, L. Georghiou, M. Keenan, R. Popper, The many faces of foresight, in:

Manag. 20 (3)( 2008) 369 387.21 J. F. Coates, Scenario planning from my perspective, Technol. Forecast.

Change 65 (1)( 2000) 115 123.22 M. Mannermaa, Futures research and social decision making: alternative futures as a case study, Futures 18 (5)( 1986) 658 670.23 L. Börjeson, M. Höjer, K. Dreborg, T. Ekvall, G. Finnveden, Scenario types

and techniques: towards a user's guide, Futures 38 (7)( 2006) 723 739.24 A. Marchais-Roubelat, F. Roubelat, Designing action based scenarios, Futures 40 (1)( 2008

) 25 33.25 K. Cuhls, From forecasting to foresight processes new participative foresight activities in Germany, J. Forecast. 22 (2 3)( 2003) 93 111.26 F. Berkhout

, J. Hertin, Foresight futures scenarios, Developing and Applying a Participative Strategic planning Tool, Greener Management International (37 Special issue on Foresighting for Development), 2002, pp. 37 52.27 G

. Wright, P. Goodwin, Future-focussed thinking: combining scenario planning with decision analysis, J. Multi-Criteria Decis.

Anal. 8 (1999) 311 321.28 M. P. e Cunha, P. Palma, N. G. da Costa, Fear of foresight:

knowledge and ignorance in organizational foresight, Futures 38 (8)( 2006) 942 955.29 W. Xiang, K c. Clarke, The use of scenarios in land-use planning, Environ.

Design 30 (6)( 2003) 885 909.30 B. Truffer, J. Voss, K. Konrad, Mapping expectations for system transformations:

Change 75 (9)( 2008) 1360 1372.31 A w. Müller, Strategic foresight Prozesse strategischer Trend-und Zukunftsforschung in Unternehmen, Universität Zürich, Zürich, Druckerei Zentrum, 2008.32

Future-oriented technology analysis Strategic intelligence for an Innovative economy, Springer, Berlin, 2008.34 D. Loveridge, P. Street, Inclusive foresight, Foresight 7 (3)( 2005) 31 47.35 H. A. Linstone, Multiple perspectives:

Pract. 2 (3)( 1989) 307 331.36 S. S. Gezelius, K. Refsgaard, Barriers to rational decision-making in environmental planning, Land use Policy 24 (2

)( 2007) 338 348.37 K. Bartholomew, Land use-transportation scenario planning: promise and reality, Transportation 34 (2007) 397 412.38 C. Zegras, J. Sussman, C. Conklin, Scenario planning for strategic regional transportation planning, J. Urban Plann.

Dev. Asce 130 (1)( 2004) 2 13.39 Y. Shiftan, S. Kaplan, S. Hakkert, Scenario building as a tool for planning a sustainable transportation system, Transport.

Res. Part D-Transport. Environ. 8 (5)( 2003) 323 342.40 K. Chatterjee, A. Gordon, Planning for an unpredictable future:

transport in Great britain in 2030, Transp. Policy 13 (3)( 2006) 254 264.41 Vision 2030 Consortium, Vision 2030 Final Report.

An Investigation into the Long-term challenges and Opportunities for the UK's Strategic Highway Network, Highway Agency for England, London, 2003.42 Office of Science and Technology, Intelligent Infrastructure Futures, Foresight Directorate

, London, 2006 Project Overview. 43 J. A. Paravantis, D. A. Georgakellos, Trends in energy consumption and carbon dioxide emissions of passenger cars and buses, Technol.

Forecast. Soc. Change 74 (5)( 2007) 682 707.44 L. Giorgi, Transport and mobility in an enlarged Europe 2020

in: European commission (Ed.),The European forseight monitoring network. Collection of EFMN Briefs Part 1, Office for Official Publications of the European commission, Luxembourg, 2008.45 I. Chatrie, J. Rachidie, AGORA 2020 Transport, housing, urbanism and risk, in:

European commission (Ed.),The European forseight monitoring network. Collection of EFMN Briefs Part 1, Office for Official Publications of the European commission, Luxembourg, 2008.46 H. Thenint, L. Lengrand, Démarche Prospective Transport 2050 For a better French

transport policy, in: European commission (Ed.),The European forseight monitoring network. Collection of EFMN Briefs Part 1, Office for Official Publications of the European commission, Luxembourg, 2008.47 H. J. van Zuylen, K. M. Weber, Strategies for European

Change 69 (9)( 2002) 929 951.48 H. Turton, Sustainable global automobile transport in the 21st century:

an integrated scenario analysis, Technol. Forecast. Soc. Change 73 (6)( 2006) 607 629.1161 E. Störmer et al./

/Technological forecasting & Social Change 76 (2009) 1150 1162 49 K. M. Hillman, B. A. Sandén, Exploring technology paths:

the development of alternative transport fuels in Sweden 2007 2020, Technol. Forecast. Soc. Change 75 (8)( 2008) 1279 1302.50 P. A. Steenhof, B c. Mcinnis,

A comparison of alternative technologies to decarbonize Canada's passenger transportation sector, Technol. Forecast. Soc.

Change 75 (8)( 2008) 1260 1278.51 P. Moriarty, D. Honnery, Low-mobility: the future of transport, Futures 40 (10)( 2008) 865 872.52 G. Munda, Social multi-criteria evaluation:

methodological foundations and operational consequences, Eur. J. Oper. Res. 158 (3)( 2004) 662 677.53 J. J. Winebrake, B. P. Creswick, The future of hydrogen fueling systems for transportation:

an application of perspective-based scenario analysis using the analytic hierarchy process, Technol. Forecast. Soc. Change 70 (4)( 2003) 359 384.54 O. Renn, Participatory processes for designing environmental policies, Land use Policy 23 (1)( 2006) 34 43.55 B. Truffer, Wissensintegration

in transdisziplinären Projekten, GAIA 1 (2007) 41 45.56 R. Barré, S&t Foresight as a Collective Learning process In view of Strategic decision making:

Overview and Interpretative Framework, European Science and Technology observatory (ESTO), Paris, 2001.57 I. Miles, Appraisal of Alternative methods and Procedures for Producing Regional foresight, EU Kommission, Brüssel, 2002.58 R. Popper,

How are selected foresight methods? Foresight 10 (6)( 2008) 62 89.59 M. Rask, Foresight balancing between increasing variety and productive convergence, Technol.

Forecast. Soc. Change 75 (8)( 2008) 1157 1175.60 J. Galla, U. Kopp, A. Martinuzzi, E. Störmer, Focus on actors initial experiences with system constellations in theory-based evaluations, Z. Eval. 7 (1)( 2008) 35 73.61 J. Mayers, Stakeholder power

analysis. Power tools series, International Institute for Environment and Development, London, 2005.62 E. Störmer, Greening as strategic development in industrial change why companies participate in eco-networks, Geoforum 39 (1)( 2008) 32 47.63 J. Gausemeier,

A. Fink, O. Schlake, Scenario management: an approach to develop future potentials, Technol. Forecast. Soc.

Change 59 (2)( 1998) 111 130.64 A. Fink, O. Schlake, A. Siebe, Erfolg durch Szenario-Management:

Prinzip und Werkzeuge der strategischen Vorausschau, 2. Auflage, Campus, Frankfurt New york, 2002.65 Bundesamt für Statistik, Bundesamt für Umwelt, Wald und

, E. Scheider, K. Zöller, Abfallwirtschaft 2005. Bürger planen ein regionales Abfallkonzept. Teil 1: Projektbeschreibung, Nomos Verlagsgesellschaft, Baden-Baden, 1999.67 O. Renn, H. Kastenholz, P. Schild, U. Wilhelm, Abfallpolitik im kooperativen Diskurs.

Internationale Standortbestimmung für den Wasser-und Abwassersektor, GWA (9)( 2006) 733 742.69 A. Herlyn, M. Maurer, Status quo der Schweizer Abwasserentsorgung:

Kosten, Zustand und Investitionsbedarf, GWA (3)( 2007) 171 176. Eckhard Störmer is a project leader at the Social science Research Department Cirus (innovation research in utility sectors) at The swiss Federal Institute of Aquatic Science and Technology (Eawag.

/Technological forecasting & Social Change 76 (2009) 1150 1162


ART19.pdf

Integrating future-oriented technology analysis and risk assessment methodologies Raija Koivisto, Nina Wessberg, Annele Eerola, Toni Ahlqvist, Sirkku Kivisaari, Jouko Myllyoja, Minna Halonen VTT Technical research Centre of Finland

Received 17 november 2008 Received in revised form 11 june 2009 Accepted 15 july 2009 This paper examines the potential of integrating future-oriented technology analysis (FTA) with risk assessment methodologies and tools,

suggesting new ways to evolve the modular design when integrating FTA and risk assessment methodologies and tools. 2009 Elsevier Inc. All rights reserved.

The context, emphasis and time horizons of examination vary, however. For instance, risk assessment in the context of industrial process safety aims to predict the risk caused by a failure, deviation,

The time horizon considered typically is a couple of years maximum referring to the practice to revise the analysis every three to five years.

In an ideal situation the risk analysis is performed continuously to check all appearing changes and situations.

The time horizon varies from some five to fifty years, depending on the issues examined and the purpose of the foresight exercise.

whereas in foresight exercises the positive developments like innovation possibilities has Technological forecasting & Social Change 76 (2009) 1163 1176 Corresponding author.

0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi: 10.1016/j. techfore. 2009.07.012 Contents lists available at Sciencedirect Technological forecasting

Hence, somehow the link between these two research traditions is in essence present, but in practice the researches, research projects

A systematic, participatory, future intelligence gathering and medium-to-long-term visionbuilldin process aimed at present-day decisions and mobilising joint action.

/Technological forecasting & Social Change 76 (2009) 1163 1176 Both the SECI and SLC model emphasize the shared knowledge making.

/Technological forecasting & Social Change 76 (2009) 1163 1176 interviews. Megatrends and weak signals are also the crucial targets of the examination:

and space technology in the 1960s 13. These fields are renowned for their complicated systems, where possible accidents may have far-reaching consequences.

During the 1970s, a worldwide trend of increasing accidental losses in factories was recognised 14. Process industrial operations also became more complex and larger volumes of chemicals were used at higher pressures than previously.

Various major accidents in the process industry in the 1970s (e g. Flixborough, 1974; Seveso, 1976;

A systematic and Fig. 2. A systemic framework for methods 10.1 For instance, the TA studies carried out by the US Office of Technology (OTA) in 1974 1995 primarily served to inform Congress

/Technological forecasting & Social Change 76 (2009) 1163 1176 analytic way to assess and manage risks in a complex context was rapidly showing its success. The number of industrial accidents

A systematic risk analysis typically starts, after the data gathering, with the identification of hazards and the associated hazardous scenarios according to a specific procedure defined by the selected risk analysis method.

In recent years the approach towards more comprehensive and holistic risk management has strengthened. Approaches like inherent safety 26 in process design as well as resilience engineering 27 in process operating address the complex nature of industrial process.

/Technological forecasting & Social Change 76 (2009) 1163 1176 the resilient ecosystem dynamics, the resilience engineering stands for an industrial process

Risk management is based not on a striving for perfection from the start nor even on systematic surveillance of deviances for the purpose of correcting them,

research period 2006 2009. The aim was to study the possibilities of proactive risk assessment and management of critical infrastructures based on the integration of risk assessment and scenario development methods.

The time frame of the study was the year 2015. The study addresses that the more the scope of risk analysis is moving into a not-so-well-known field the more the risk identification becomes the crucial part of the process 28.

/Technological forecasting & Social Change 76 (2009) 1163 1176 The INNORISK Managing opportunities, risks and uncertainties project is a 3-year (2006 2009) joint research project between the Corporate Foresight

a medium-size company offering control systems for high-tech companies, a medium-size technology company and a large-size technology company. 2 The back-pocket roadmap starts

as well as the drivers and bottlenecks of the ongoing business in a defined time perspective 29.

in order to evaluate their business potential after 5 10 years in a medium-size company. One opportunity was selected for more thorough concept development including iterative steps of idea generation and enrichment,

Risks, Potential and Adaptation (CES, time frame 2007 2010. The project aims at assessing the development of the Nordic electricity system for the next 20 30 years.

It will address how the conditions for production of renewable energy in the Nordic area might change due to global warming.

the general risk assessment procedure, guidelines for gathering the background information, the seasonal plan, risk identification model

The seasonal plan, for instance, aims at stimulating the risk identification process by listing the normal seasonal routines of the hydropower plant,

e g. spring floods or ice cover freezing over the river in the 2 E-mail discussions with Pasi Valkokari in INNORISK project March 6th 2009.3 E-mail discussions with Pasi Valkokari in INNORISK project March 6th

/Technological forecasting & Social Change 76 (2009) 1163 1176 autumn. Potential climate change effects are added then to the seasonal plan

and changes to the normal seasonal routines can be noticed; the future is linked in that way to present situation.

Risk assessment procedure in CES is designed on the basis of brainstorming sessions between power plant operators and managers as well as climate change experts.

Background information contains, for instance, the modelling of the changes in the river flows based on the climate change scenarios.

/Technological forecasting & Social Change 76 (2009) 1163 1176 The positioning of the case projects in the Fig. 4 can be explained by the types of projects:

CES project, for example, stresses the operational level risk assessment whereas the INNORISK project's starting point is corporate strategic decision making.

risk analysis expert may know e g. roadmapping method, but does not understand that it is the most usable only in the prescription phase of the foresight process.

for example related to resource allocation or the formation of strategic partnerships/joint actions. o Informative outcomes refer to the use of foresight to improve the understanding of present and future challenges of the innovation system and its parts.

Fixed vs. autonomous management o Fixed management can be characterised as centralised approach in which co-ordinators fix the scope and methods of the exercise at the outset and control the process,

/Technological forecasting & Social Change 76 (2009) 1163 1176 Fig. 1. However, the normal monitoring and evaluation actions are conducted

Fig. 5 also shows that the assessment of new emerging risks demands longer time-frame and a more contingent examination approach.

and risk assessment traditions in emerging risk assessment would then help in applying the more contingent and holistic approach in more fixed and short time risk assessment exercises.

Fig. 5. The relationships between risk assessment and FTA METHODS according to the time frame and approach. 1172 R. Koivisto et al./

/Technological forecasting & Social Change 76 (2009) 1163 1176 4. 3. Lessons learned from the case projects The basic lessons learned from the case projects are shown in Table 1. The case projects of this paper (IRRIIS, INNORISK,

which is constantly present. The second benefit may come from the participatory and networking approach of different expert analyses.

and to create knowledge to help decision making in defining management strategies concerning the changes the future may cause.

/Technological forecasting & Social Change 76 (2009) 1163 1176 than the FTA PROCESS. In turn, there is a shift towards a more contingent approach also in risk assessment as is in FTA APPROACH.

which is more common nowadays, for instance, in FTA APPROACH. Either way, both approaches may benefit methodologically from each other in developing better methods for assessing the futures.

which are more capable of taken into consideration the longer time frames than have been common in risk analysis tradition before.

This may, for example, concern integration of theories of networks or organisational culture in risk management more solidly.

In the Book‘Future-oriented technology analysis Strategic intelligence for an Innovative economy',Springer, Berlin, Heidelberg, 2008, pp. 25 40.2 T.,Könnölä, T.,Ahlqvist, A.,Eerola, S.,Kivisaari, R.,Koivisto

Technology analysis & Strategic management 21 (3)( 2009) 381 405.3 R. Smits, S. Kuhlmann, The rise of systemic instruments in innovation policy, Int. J. Foresight Innov.

Policy 1 (1)( 2004) 4 32.4 K. Smith, Innovation as a systemic phenomenon: rethinking the role of policy, Enterp.

Studies 1 (9)( 2000) 73 102. Table 2 The main characteristics, differences, similarities and future expectations.

Time horizon 0 5 years 5 50 years Phases Scope definition, risk identification, risk estimation (probability, consequences), risk evaluation The pre foresight phase

/Technological forecasting & Social Change 76 (2009) 1163 1176 5 European commission, Thinking, Debating and Shaping the Future:

Foresight for Europe, Final Report of the High level Expert Group for the European commission, April 24, 2002, European commission, Brussels, 2002.6 A. Eerola, E. Väyrynen, Developing technology forecasting and technology assessment

available on website http://www. vtt. fi/inf/pdf/tiedotteet/2002/T2174. pdf read 7. 8. 08). 7 A. Eerola, B. H. Jørgensen

I. Miles, M. Butter, G. Sainz de la Fuenta, Global Foresight outlook GFO 2007. Mapping Foresight in Europe and the Rest of the World.

EFMN European foresight monitoring Network, 2009, Available at http://www. foresight-network. eu/files/reports/efmn mapping 2007. pdf (Read July 8th 2009.

Agency, 1993 2004, Available at: http://reports. eea. europa. eu/GH-07-97-595-EN-C2/en/riskindex. html (read June 12th 2008.

13 T. A. Kletz, The origins and history of loss prevention, Trans ICHEME 77b (1999) 109 116.14 F. P. Lees, Loss Prevention in the Process

Industries Hazard Identification, Assessment and Control, vol. 1, 2nd ed. Butterworth-Heinemann, Oxford, 1996,357 pp. 15 E. Homberger, G. Reggiani, J

1995. Dependability Management. Part 3: Application Guide. Section 9: Risk analysis of Technological Systems, Geneva, Switzerland, 1995.21 Center for Chemical process Safety (CCPS), Guidelines for Hazard Evaluation Procedures, 2nd Ed. AICHE, New york, USA, 1992

with worked examples, 461 pp. 22 J. Suokas, V. Rouhiainen (Eds. Quality Management of Safety and Risk analysis, Elsevier Science Publishers B. V.,Amsterdam, 1993, pp. 25 43.23 J. Tixier, G. Dussere, O. Salvi

, D. Gaston, Review of 62 risk analysis methodologies of industrial plants, Journal of Loss Prevention in the Process Industries, vol. 15, Elsevier Science Ltd.

2002, s. 291 303.24 N. Wessberg, R. Molarius, J. Seppälä, S. Koskela, J. Pennanen, Environmental risk analysis for accidental emissions, J. Chem.

2008) January/February 2008. doi-link: http://dx. doi. org/10.1016/j. jchas. 2007.07.001 (Read June 12th 2008.

25 International Electrotechnical Commission (IEC), IEC 61882: 2001. Hazard and Operability Studies (HAZOP Studies) Application Guide, Geneva, Switzerlaand 2001.26 T. A. Kletz, Plant Design for Safety:

A User-friendly Approach, Hemisphere Publishing Corporation, New york, 1991.27 E. Hollnagel, Resilience the challenge of the unstable, in:

Concepts and Precepts, Ashgate Publishing Ltd, Hampshire, 2006, pp. 9 17,2006. 28 T. Uusitalo, R. Koivisto and W. Schmit, Proactive risk assessment of critical infrastructures.

Theory, Methods and Applications, Taylor & francis Group, London, 2009, ISBN 978-0-415-48513-5. 29 J. Paasi, P. Valkokari, P. Maijala

2006 http://www. flickr. com/photos/51072101@N00/91829174/(read 13.12.2007). 32 H. Weinrich, The TOWS matrix:

a tool for situational analysis, J. Long Range Plann. 15 (2)( 1982) 12 14.33 M. Reunanen, Potential problem analysis, in:

Quality Management of Safety Analysis, Elsevier, Amsterdam, 1993, pp. 71 78.34 SME Risk management Toolkit. SME vulnerability analysis, Booklet, http://www. pk-rh. com/(Read 5. 4. 2007), VTT, 2002.35 J. Paasi, P. Valkokari, P. Maijala

, T. Luoma, S. Toivonen, Managing uncertainty in the front end of radical innovation development, Proc. of IAMOT 2007 16th International Conference on Management of Technology, May 13 17,2007, Florida

, USA, International Association for the Management of Technology, 2007, pp. 1306 1324.36 T. Luoma, J. Paasi, H. Nordlund.

Managing commercialisation risks in innovation development: linking front end and commercialisation. In: K. R. E. Huizingh, M. Torkkeli, S. Conn and I. Bitran (eds.

Tours, France, 15 18 june 2008. ISPIM, 2008.37 R. Molarius, N. Wessberg, J. Keränen, J. Schabel, Creating a climate change risk assessment procedure hydropower plant case, Finland,

XXV Nordic Hydrological Conference Northern Hydrology and its Global Role (NHC-2008), Reykjavík, Iceland. 11 13,august 2008, 2008.38 B. Walker, D. Salt, Resilience Thinking.

towards a new safety paradigm, Journal of Risk Research 10 (7)( 2007) 959 975 October 2007.

1999.42 JRC and IPTS FOR-LEARN On-line Foresight guide in http://forlearn. jrc. ec. europa. eu/guide/4 methodology/framework. htm (read May 28th 2009).

43 Arlington Institute. http://www. arlingtoninstitute. org/(read May 28th 2009. 44 H. H. Willis, Using Risk analysis to Inform Intelligence Analysis. RAND Infrastructure, Safety and Environment,,

2007 http://www. rand. org/pubs/working papers/WR464/.(/Read May 28th 2009. 45 Futuríbles, THE Strategic Environment for Companies:

Guideline Scenarios General Summary, 2004 http://www. futuribles. com/pdf/Strategicenvironment. pdf. Read 28th 2009.

Prof. Raija Koivisto has over twenty years experience in safety, security, risk assessment and foresight related research at VTT.

Her current research interests include emerging risks and critical infrastructure protection, among others. She also holds a docent position in the University of Oulu

She graduated in environmental engineering (M. Sc. 1996) and in environmental policy (M. Sc. 1997, Lic.

2000 and D. Sc. 2007. She was first working as an environmental policy researcher at the University of Tampere.

In 1999 she joined VTT to work in developing the management of environmental risks. In 2007 she entered VTT's Technology foresight and technology assessment team.

Dr. Annele Eerola is Senior Research scientist and Deputy Technology manager of the knowledge centre‘Organisations, Networks and Innovation systems'at VTT.

/Technological forecasting & Social Change 76 (2009) 1163 1176 Dr. Toni Ahlqvist is Senior Research scientist and Team Leader of Technology foresight and Technology assessment team at VTT.

Minna Halonen (MSC) has been working as Research scientist at VTT Technical research Centre of Finland since 2004.

She graduated in applied geography from the University of Rome La Sapienza in 2003. Her main research interests concern technology foresight, service research and sustainable development. 1176 R. Koivisto et al./

/Technological forecasting & Social Change 76 (2009) 1163 1176


< Back - Next >


Overtext Web Module V3.0 Alpha
Copyright Semantic-Knowledge, 1994-2011