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Scenario planning with a sociological eye: Augmenting the intuitive logics approach to understanding the Future of Scotland and the UK

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  • MacKay, R. Bradley
  • Stoyanova, Veselina

Abstract

This paper draws on a social theory-informed understanding of causality to illustrate how notions of agent–structure interactions can enhance the intuitive logics (IL) approach to scenario planning. It incorporates concepts such as the ‘subjective’ predispositions of agency, ‘objective’ structures of social systems, activity dependence, unintended consequences of action and event-time temporality in the IL method to augment causal analysis in the scenario development process. The paper illustrates the social theory-informed IL framework through its application to a scenario exercise undertaken in the lead-up to the Scottish referendum on independence from the United Kingdom on September 18th, 2014. The central thesis of the paper is that agent–structure interactions underpin the unfolding of futures in social systems by both constraining and enabling the range of possible futures that can emerge

Suggested Citation

  • MacKay, R. Bradley & Stoyanova, Veselina, 2017. "Scenario planning with a sociological eye: Augmenting the intuitive logics approach to understanding the Future of Scotland and the UK," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 88-100.
    • Handle: RePEc:eee:tefoso:v:124:y:2017:i:c:p:88-100
    DOI: 10.1016/j.techfore.2016.08.026
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    References listed on IDEAS

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    Cited by:

    1. Bezjian, James & Stoyanova, Veselina & McKiernan, Peter & MacKay, R. Bradley, 2020. "Synthesizing scenario planning and industry recipes through an analysis of the Hollywood film industry," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    2. Metz, Ashley & Hartley, Paul, 2020. "Scenario development as valuation: Opportunities for reflexivity," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    3. Chen, Kaihua & Ren, Zhipeng & Mu, Shijun & Sun, Tara Qian & Mu, Rongping, 2020. "Integrating the Delphi survey into scenario planning for China's renewable energy development strategy towards 2030," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    4. Ramirez, R. & Bhatti, Y. & Tapinos, E., 2020. "Exploring how experience and learning curves decrease the time invested in scenario planning interventions," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Kishita, Yusuke & Mizuno, Yuji & Fukushige, Shinichi & Umeda, Yasushi, 2020. "Scenario structuring methodology for computer-aided scenario design: An application to envisioning sustainable futures," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    6. Giulia Parola, 2020. "Escape from parents? basement? Post COVID-19 scenarios for the future of youth employment in Italy," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 2020(111), pages 51-71.

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