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The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey

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  • Keller, Jonas
  • von der Gracht, Heiko A.

Abstract

Information and communication technology (ICT) tools are increasingly being used to implement foresight exercises. Until now, it has not been analyzed how this development affects the quality and structure of foresight processes. In this paper, a Delphi study is conducted to analyze the future path of ICT in foresight and to identify channels by which ICT drives progress in foresight and where there are limitations to this development. Using a real-time variant of the method, we posed 20 projections about ICT in 2020 to 177 foresight experts. In analyzing both quantitative and qualitative results of the study, we reveal that ICT will likely promote a shift in the focus of foresight exercises from scanning and data retrieval to more qualitative steps, such as interpretation, decision-making and implementation. In a growing foresight market, ICT should contribute to more efficient and accurate foresight processes with better accessibility to information, easy-to-use collaboration tools, data and knowledge linkages, quantitative modeling tools and process optimization. However, the qualitative nature of the discipline, value-driven challenges, as well as technological and competitive barriers should assure that foresight will remain a creative and human-centered activity with ICT tools only serving as supportive tools.

Suggested Citation

  • Keller, Jonas & von der Gracht, Heiko A., 2014. "The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 81-92.
    • Handle: RePEc:eee:tefoso:v:85:y:2014:i:c:p:81-92
    DOI: 10.1016/j.techfore.2013.07.010
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    1. Maris Goldmanis & Ali Hortaçsu & Chad Syverson & Önsel Emre, 2010. "E-Commerce and the Market Structure of Retail Industries," Economic Journal, Royal Economic Society, vol. 120(545), pages 651-682, June.
    2. Berg, Joyce & Forsythe, Robert & Nelson, Forrest & Rietz, Thomas, 2008. "Results from a Dozen Years of Election Futures Markets Research," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 80, pages 742-751, Elsevier.
    3. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.
    4. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    5. Kerr, Norbert L. & Tindale, R. Scott, 2011. "Group-based forecasting?: A social psychological analysis," International Journal of Forecasting, Elsevier, vol. 27(1), pages 14-40, January.
    6. von der Gracht, Heiko A. & Darkow, Inga-Lena, 2010. "Scenarios for the logistics services industry: A Delphi-based analysis for 2025," International Journal of Production Economics, Elsevier, vol. 127(1), pages 46-59, September.
    7. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    8. Kerr, Norbert L. & Tindale, R. Scott, 2011. "Group-based forecasting?: A social psychological analysis," International Journal of Forecasting, Elsevier, vol. 27(1), pages 14-40.
    9. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    10. F. Scapolo & A. L. Porter, 2008. "New Methodological Developments in FTA," Springer Books, in: Cristiano Cagnin & Michael Keenan & Ron Johnston & Fabiana Scapolo & Rémi Barré (ed.), Future-Oriented Technology Analysis, chapter 11, pages 149-162, Springer.
    11. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    12. Georghiou, Luke & Cassingena Harper, Jennifer, 2013. "Rising to the challenges—Reflections on Future-oriented Technology Analysis," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 467-470.
    13. Heger, Tobias & Rohrbeck, René, 2012. "Strategic foresight for collaborative exploration of new business fields," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 819-831.
    14. Delen, Dursun & Cogdell, Douglas & Kasap, Nihat, 2012. "A comparative analysis of data mining methods in predicting NCAA bowl outcomes," International Journal of Forecasting, Elsevier, vol. 28(2), pages 543-552.
    15. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    16. Gunasekaran, A. & Ngai, E. W. T., 2004. "Information systems in supply chain integration and management," European Journal of Operational Research, Elsevier, vol. 159(2), pages 269-295, December.
    17. Sniezek, Janet A. & Henry, Rebecca A., 1989. "Accuracy and confidence in group judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(1), pages 1-28, February.
    18. Alessandra Colecchia & Paul Schreyer, 2002. "ICT Investment and Economic Growth in the 1990s: Is the United States a Unique Case? A Comparative Study of Nine OECD Countries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 408-442, April.
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