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Is the future a political economy? Functional analysis of three leading foresight and futures studies journals

Author

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  • Steffen Roth

    (ESC Rennes School of Business - ESC [Rennes] - ESC Rennes School of Business)

  • Jari Kaivo-Oja

    (University of Turku)

Abstract

This article tests whether the field of foresight and futures studies shows significant variable selection biases in the modelling of the future in general and the impact of function systems in particular. We performed a word frequency analysis to measure the relative importance of the political system, the economy, science, art, religion, law, sport, health, education, and the mass media to three pertinent journals in the field of futures studies and foresight. The results show that Futures, Long Range Planning, and Technological Forecasting and Social Change have different and changing preferences for the above function systems, an information which authors may find helpful in supporting decisions on where to submit. Our results also show that all journals feature a highly significant bias to the triple helix systems – the political system, the economy, and science. While the latter bias may be adequate to scientific journals, the dominant focus on the political system and the economy as well as the corresponding neglect of the other systems points at implicit presumptions about the importance of the individual systems that may not be in line with their importance to the larger society. Highlights: This article • Shows that present visions of futures are predominantly visions of political economies, and how to change this. • Suggests that solutions to future political and economic key problems might also be in the so-far neglected further function systems. • Proposes a new systematic set of key variables for consideration and inclusion in models and simulations of futures.

Suggested Citation

  • Steffen Roth & Jari Kaivo-Oja, 2016. "Is the future a political economy? Functional analysis of three leading foresight and futures studies journals," Post-Print hal-01475083, HAL.
  • Handle: RePEc:hal:journl:hal-01475083
    DOI: 10.1016/j.futures.2015.10.002
    Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-01475083
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    References listed on IDEAS

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    1. Steffen Roth, 2014. "Booties, bounties, business models: a map to the next red oceans," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 22(4), pages 439-448.
    2. Soyer, Emre & Hogarth, Robin M., 2012. "The illusion of predictability: How regression statistics mislead experts," International Journal of Forecasting, Elsevier, vol. 28(3), pages 695-711.
    3. Loet Leydesdorff & Henry Etzkowitz, 1996. "Emergence of a Triple Helix of university—industry—government relations," Science and Public Policy, Oxford University Press, vol. 23(5), pages 279-286, October.
    4. Bretschneider, Stuart & Gorr, Wilpen, 1992. "Economic, organizational, and political influences on biases in forecasting state sales tax receipts," International Journal of Forecasting, Elsevier, vol. 7(4), pages 457-466, March.
    5. Pasi Rikkonen & Jyrki Aakkula & Jari Kaivo-oja, 2004. "How can future long-term changes in finnish agriculture and agricultural policy be faced? defining strategic agendas on the basis of a delphi study," European Planning Studies, Taylor & Francis Journals, vol. 14(2), pages 147-168, September.
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    Cited by:

    1. Kaivo-oja, Jari & Roth, Steffen & Westerlund, Leo, 2016. "Futures of robotics. Human work in digital transformation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 73(4), pages 176-205.
    2. Roth, Steffen & Clark, Carlton & Trofimov, Nikolay & Mkrtichyan, Artur & Heidingsfelder, Markus & Appignanesi, Laura & Pérez-Valls, Miguel & Berkel, Jan & Kaivo-oja, Jari, 2017. "Futures of a distributed memory. A global brain wave measurement (1800–2000)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 307-323.

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