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Managerial decision-making and AI: A decision canvas approach

Author

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  • Bagchi, Soumendra Narain
  • Sharma, Rajeev

Abstract

Given the undeniable fact that the quality of decisions significantly impacts organizational success and the careers of the decision-makers, in this article, we explore various categories of decisions that managers encounter and examine the existing literature for tools and frameworks that can enhance the decision-making process. Our search revealed a significant gap between the complexity of real-world problems and the capabilities of available decision-making tools. Current frameworks that rely on large language models (LLMs) like ChatGPT are still nascent and offer limited guidance. We propose using a decision canvas to harness the extensive capabilities of large language models. The decision canvas is structured using the organizational hierarchy and applicable operating principles. This canvas is designed to help decision-makers better comprehend their available options, tools, and frameworks. This canvas facilitates two broad approaches to decision-making: (1) developing a comprehensive understanding, starting from leaders’ personal philosophies toward the problem; and (2) a limited problem-solving approach to identify the possible solution.

Suggested Citation

  • Bagchi, Soumendra Narain & Sharma, Rajeev, 2026. "Managerial decision-making and AI: A decision canvas approach," Business Horizons, Elsevier, vol. 69(1), pages 55-66.
    • Handle: RePEc:eee:bushor:v:69:y:2026:i:1:p:55-66
    DOI: 10.1016/j.bushor.2024.12.001
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    References listed on IDEAS

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    1. Andrew D. Brown & Edmund R. Thompson, 2013. "A narrative approach to strategy-as-practice," Business History, Taylor & Francis Journals, vol. 55(7), pages 1143-1167, October.
    2. Mary Tripsas & Giovanni Gavetti, 2000. "Capabilities, cognition, and inertia: evidence from digital imaging," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1147-1161, October.
    3. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    4. Bakken, Bent & Gould, Janet & Kim, Daniel, 1992. "Experimentation in learning organizations: A management flight simulator approach," European Journal of Operational Research, Elsevier, vol. 59(1), pages 167-182, May.
    5. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    6. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
    7. R. Whittington & Ludovic Cailluet & B. Yakis-Douglas, 2011. "Opening Strategy: Evolution of a Precarious Profession," Post-Print halshs-00738389, HAL.
    8. March, James G. & Olsen, Johan P., 1983. "The New Institutionalism: Organizational Factors in Political Life," American Political Science Review, Cambridge University Press, vol. 78(3), pages 734-749, December.
    9. Rembrand Koning & Sharique Hasan & Aaron Chatterji, 2022. "Experimentation and Start-up Performance: Evidence from A/B Testing," Management Science, INFORMS, vol. 68(9), pages 6434-6453, September.
    10. Vincent, Vinod U., 2021. "Integrating intuition and artificial intelligence in organizational decision-making," Business Horizons, Elsevier, vol. 64(4), pages 425-438.
    Full references (including those not matched with items on IDEAS)

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