How Discriminative Artificial Intelligence Drives Scenario Planning: A Systematic Literature Review and Research Agenda

Laura M. Berensmeier, Valentin J. Schmitt and Martin G. Moehrle

Futures & Foresight Science, 2025, vol. 7, issue 3

Abstract: This article explores the potential of discriminative Artificial Intelligence (AI) to enhance scenario planning, a widely used methodology in strategic planning. Like others, scenario planning also faces the challenge of efficiently integrating available information. We address this challenge by investigating two research questions: First, how is discriminative AI currently applied in scenario planning? Second, how could discriminative AI techniques additionally be used to support the stakeholders of scenario planning? A systematic literature review identifies 58 relevant documents that illustrate the application of discriminative AI in several stages of the scenario process. We present six key findings in relation to the purpose of discriminative AI, the data used and the spectrum of topics. We then formulate seven research propositions that serve as a research agenda and highlight further potential for the utilization of discriminative AI. Our contribution to science is that we show how the roles of stakeholders are going to change. For management, we demonstrate the numerous opportunities offered by discriminative AI to improve the quality of scenario planning.

Date: 2025
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https://doi.org/10.1002/ffo2.70021

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Persistent link: https://EconPapers.repec.org/RePEc:wly:fufsci:v:7:y:2025:i:3:n:e70021

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