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The evolution of the use of Foresight methods: a scientometric analysis of global FTA research output

Author

Listed:
  • Ozcan Saritas

    (National Research University
    University of Manchester)

  • Serhat Burmaoglu

    (Katip Celebi University)

Abstract

An increasing number of quantitative and qualitative methods have been used for future-oriented technology analysis (FTA) to develop understanding of situations, enable creativity, engage experts, and provide interaction. FTA practitioners have used frequently one or a suitable mixture of these methods for their activities. Changing policy and strategy making contexts as well as enabling technologies increased the need and possibility for performing adaptive Foresight studies in order to improve decision making about the future and using making better use of limited resources. This study performs a scientometric analysis of the publications in the major FTA journals with the aim of understanding the dynamics of using Foresight methods across time. Among the other branches of FTA, including forecasting, futures, and technology assessment, a special emphasis is given on Foresight as a systematic and inclusive way of exploring long term futures, developing visions and formulating policies for action. The study aims at detecting the key Trends and Weak Signals regarding the use of existing methods and emerging ones with potential uses for Foresight activities. Further implications will be achieved with the generation of networks for quantitative and qualitative methods. This will demonstrate the most frequently combined Foresight methods by researchers and practitioners. Where possible the methods will also be cross-fertilised with the key thematic areas to illustrate the relationships between policy domains and industrial sectors covered by the scope of study with methodological choice. This output is considered to be taken as a methodological guide for any researchers, practitioners or policy makers, who might embark upon or involved in a Foresight activity. Further outputs of the study will include the identification of centres of excellence in the use of Foresight methods and collaboration networks between countries, institutions and policy domains. Overall, the paper demonstrates how scientometric tools can be used to understand the dynamics of evolution in a research field. Thus, it provides an overview of the use of methods in Foresight, and how it is distinguished from the other FTA activities; the evolutionary characteristics of methodological design and factors influencing the choice of methods; and finally a discussion on the future potentials for new cutting-edge approaches.

Suggested Citation

  • Ozcan Saritas & Serhat Burmaoglu, 2015. "The evolution of the use of Foresight methods: a scientometric analysis of global FTA research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 497-508, October.
  • Handle: RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1671-x
    DOI: 10.1007/s11192-015-1671-x
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    References listed on IDEAS

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    1. van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Dirk Meissner & Leonid Gokhberg & Alexander Sokolov (ed.), 2013. "Science, Technology and Innovation Policy for the Future," Springer Books, Springer, edition 127, number 978-3-642-31827-6, October.
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    Cited by:

    1. A. E. Rodríguez Salazar & M. A. Domínguez-Crespo & A. M. Torres-Huerta & A. I. Licona-Aguilar & A. Nivón-Pellón & V. N. Orta-Guzmán, 2021. "Analysis of the Dynamical Capabilities into the Public Research Institutes to Their Strategic Decision-Making," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    2. Xiaoyu Liu & Alan L. Porter, 2020. "A 3-dimensional analysis for evaluating technology emergence indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 27-55, July.
    3. Marcin Olkiewicz, 2018. "Quality improvement through foresight methodology as a direction to increase the effectiveness of an organization," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(1), March.
    4. Daria A. Pavlova & Yulia V. Milshina & Konstantin O. Vishnevskiy & Ozcan Saritas, 2018. "The Role Of Wild Cards Analysis In Foresight Studies: The Case Of Russia," HSE Working papers WP BRP 89/STI/2018, National Research University Higher School of Economics.
    5. Rezaeian, M. & Montazeri, H. & Loonen, R.C.G.M., 2017. "Science foresight using life-cycle analysis, text mining and clustering: A case study on natural ventilation," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 270-280.
    6. Ozcan Saritas & Derrick Ababio Anim, 2017. "The Last and Next 10 Years of Foresight," HSE Working papers WP BRP 77/STI/2017, National Research University Higher School of Economics.
    7. Lu, Louis Y.Y. & Hsieh, Chih-Hung & Liu, John S., 2016. "Development trajectory and research themes of foresight," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 347-356.

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