Instruments to measure Foresight

  • Dirk Meissner


Foresight is a powerful tool that is frequently applied in response to major challenges facing science, technology, and innovation policy. With the use of Foresight studies, policy makers give a clear indication to the science, technology, and innovation community that policy making is considering a bottom-up approach rather than a purely top-down one. Foresight exercises go beyond simple predictions to become anticipatory intelligence, based on a wide diversity of viewpoints, and knowledge sources. Due to the varying nature and characteristics of Foresight studies, there is no “one indicator that fits all” – different motivations and objectives, different methods and techniques, imply different outputs and outcomes. Hence the indicators we use to describe the studies may take on different meanings – even quantitative indicators can require a great deal of interpretation. Furthermore, the longer-term impacts of the work cannot be assessed in the immediate aftermath of the work. But while many indicators are tailor-made for specific Foresight studies, and are not necessarily fully comparable with those of other different Foresight studies, it is possible to learn from experience and use the indicators and indicator frameworks of earlier Foresight exercises in later ones.


Concentration Index Technology Field Patent Statistic Delphi Study Delphi Survey 
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  1. Alsan A, Oner AM (2004) Comparison of national Foresight studies by integrated Foresight management model. Futures 36:889–902CrossRefGoogle Scholar
  2. Battistella C, De Toni AF (2011) A methodology of technological Foresight: a proposal and field study. Technol Forecast Soc Change 78:1029–1048CrossRefGoogle Scholar
  3. Berkhout F, Green K (2002) Managing innovation for sustainability: the challenge of integration and scale. Int J Innov Manage 6(3):227–232CrossRefGoogle Scholar
  4. Bezold C (2010) Lessons from using scenarios for strategic Foresight. Technol Forecast Soc Change 77:1513–1518CrossRefGoogle Scholar
  5. Blind K (2003) Patent pools – a solution to patent conflicts in standardisation and an instrument of technology transfer. In: Jakobs K, Krechmer K, Gyedi T (eds) Proceedings of the 3rd IEEE conference on standardisation and innovation in information technology, Delft, pp 27–35Google Scholar
  6. Blind K (2004) The economics of standards – theory, evidence, policy. Edward Elgar, CheltenhamGoogle Scholar
  7. Boaventura JMG, Fischmann AA (2008) Is your vision consistent? A method for checking, based on scenario concepts. Futures 40:597–612CrossRefGoogle Scholar
  8. Brandes F (2009) The UK technology Foresight programme: an assessment of expert estimates. Technol Forecast Soc Change 76:869–879CrossRefGoogle Scholar
  9. Burmsteir K, Neef A (2005) In the long run. Oekom, MunichGoogle Scholar
  10. De Moor K, Saritas O, Schuurman D (2010) Future-oriented user involvement in living labs drawing on innovation Foresight. In: Huizingh KRE, Conn S, Torkkeli M, Bitran I (eds) The XXI ISPIM conference on dynamics of innovation, proceedings of the XXI ISPIM conference (CD-ROM), Bilbao, 6–9 June 2010, p 11Google Scholar
  11. Drew SAW (2006) Building technology Foresight: using scenarios to embrace innovation. Eur J Innov Manage 9(3):241–257CrossRefGoogle Scholar
  12. Erdmann L, Behrendt S (2006) From technology-driven roadmapping towards sustainability-oriented roadmapping: development and application of an integrated method. Second international Seville seminar on future-oriented technology analysis, Seville, 28–29 Sept 2006. At Last visited 5 Nov 2009
  13. Gokhberg L, Fursov K, Miles I, Perani G (2013) Developing and using indicators of emerging and enabling technologies. In: Fred G (ed) Handbook of innovation indicators and measurement. Elgar, Cheltenham/Northampton, Ch. 15Google Scholar
  14. Gavigan JP, Scapolo F (1999) A comparison of national Foresight exercises. Foresight 1(6):495–517CrossRefGoogle Scholar
  15. Georghiou L (2001) Third generation Foresight – integrating the socio-economic dimension. In: Proceedings of the international conference on technology Foresight – the approach to and potential for new technology Foresight, NISTEP Tokyo, JapanGoogle Scholar
  16. Georghiou L, Keenan M, Miles I (2010) Assessing the impact of the UK’s evolving national Foresight programme. Int J Foresight Innov Policy 6(1–3):131–150CrossRefGoogle Scholar
  17. Grupp H, Linstone HA (1999) Foresight activities around the globe: resurrection and new paradigms. Technol Forecast Soc Change 60:85–94CrossRefGoogle Scholar
  18. Hanney S, Henkel M, von Walden Laing D (2001) Making and implementing Foresight policy to engage the academic community: health and life scientists’ involvement in, and response to, development of the UK’s technology Foresight programme. Res Policy 30:1203–1219CrossRefGoogle Scholar
  19. Huss I (1987) Scenario planning: what style should you use? Long Range Plann 20:21–29CrossRefGoogle Scholar
  20. Jensen MB, Johnson B, Lorenz E, Lundvall BA (2007) Forms of knowledge and modes of innovation. Res Policy 36:680–693CrossRefGoogle Scholar
  21. Lizaso F, Reger G (2004) Linking roadmapping and scenarios as an approach for strategic technology planning. Int J Technol Intell Plann 1(1):68–86Google Scholar
  22. Major E, Asch D, Cordey-Hayes M (2001) Foresight as a core competence. Futures 33:91–107CrossRefGoogle Scholar
  23. Malanowski N, Zweck A (2007) Bridging the gap between Foresight and market research: integrating methods to assess the economic potential of nanotechnology. Technol Forecast Soc Change 74:1805–1822CrossRefGoogle Scholar
  24. Martin B (1995) Foresight in science and technology. Technol Anal Strateg Manage 7(2)Google Scholar
  25. Martin B, Johnston R (1999) Technology Foresight for wiring up the national innovation system. Experiences in Britain, Australia, and New Zealand. Technol Forecast Soc Change 60(2):37–54CrossRefGoogle Scholar
  26. Metcalfe JS, De Liso N (1998) Innovation, capabilities and knowledge: the epistemic connection. In: Coombs R, Green K, Richards A, Walsh V (eds) Technological change and organization. Edward Elgar, CheltenhamGoogle Scholar
  27. Moed HF, Glänzel W, Schmoch U (eds) (2004) Handbook of quantitative science and technology research. Kluwer, DordrechtGoogle Scholar
  28. Nelson RR (2004) The market economy and the scientific commons. Res Policy 33:455–471CrossRefGoogle Scholar
  29. Nonaka I, Takeuchi H (1995) The knowledge-creating company: how Japanese companies create the dynamics of innovation. Oxford University Press, New YorkGoogle Scholar
  30. Roveda C, Vecchiato R (2008) Foresight and innovation in the context of industrial clusters: the case of some Italian districts. Technol Forecast Soc Change 75:817–833CrossRefGoogle Scholar
  31. Ruff F (2004) Society and technology Foresight in the context of a multinational company. EU–US Seminar: New Technology Foresight, Forecasting & Assessment Methods, SevilleGoogle Scholar
  32. Salo A, Cuhls K (2003) Technology Foresight: past and future. J Forecast 22(2/3):79–82CrossRefGoogle Scholar
  33. Saritas O, Aylen J (2010) Using scenarios for roadmapping: the case of clean production. Technol Forecast Soc Change 77:1061–1075CrossRefGoogle Scholar
  34. Saritas O, Nugroho Y (2012) Mapping issues and envisaging futures: an evolutionary scenario approach. Technol Forecast Soc Change 79:509–529CrossRefGoogle Scholar
  35. Saritas O, Oner AO (2004) Systemic analysis of UK Foresight results – joint application of integrated management model and roadmapping. Technol Forecast Soc Change 71:27–65CrossRefGoogle Scholar
  36. Schmoch U, Laville F, Patel P, Frietsch R (2003) Linking technology areas to industrial sectors. Final report to the European Commission, DG Research, KarlsruheGoogle Scholar
  37. Schwartz P (1991) The art of the long view: planning for the future in an uncertain world. Doubleday Currency, New YorkGoogle Scholar
  38. van der Meulen B (1999) The impact of Foresight on environmental science and technology policy in the Netherlands. Futures 31:7–23CrossRefGoogle Scholar
  39. van der Steen M, van der Duin P (2012) Learning ahead of time: how evaluation of Foresight may add to increased trust, organizational learning and future oriented policy and strategy. Futures 44:487–493CrossRefGoogle Scholar
  40. Woods DD (2009) Escaping failures of Foresight. Safety Sci 47:498–501CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute for Statistical Studies and Economics of KnowledgeNational Research University - Higher School of Economics (HSE)MoscowRussia

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