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A Practical Approach to Address Uncertainty in Stakeholder Deliberations

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  • Robin Gregory
  • Ralph L. Keeney

Abstract

This article addresses the difficulties of incorporating uncertainty about consequence estimates as part of stakeholder deliberations involving multiple alternatives. Although every prediction of future consequences necessarily involves uncertainty, a large gap exists between common practices for addressing uncertainty in stakeholder deliberations and the procedures of prescriptive decision‐aiding models advanced by risk and decision analysts. We review the treatment of uncertainty at four main phases of the deliberative process: with experts asked to describe possible consequences of competing alternatives, with stakeholders who function both as individuals and as members of coalitions, with the stakeholder committee composed of all stakeholders, and with decisionmakers. We develop and recommend a model that uses certainty equivalents as a theoretically robust and practical approach for helping diverse stakeholders to incorporate uncertainties when evaluating multiple‐objective alternatives as part of public policy decisions.

Suggested Citation

  • Robin Gregory & Ralph L. Keeney, 2017. "A Practical Approach to Address Uncertainty in Stakeholder Deliberations," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 487-501, March.
  • Handle: RePEc:wly:riskan:v:37:y:2017:i:3:p:487-501
    DOI: 10.1111/risa.12638
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    References listed on IDEAS

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    Cited by:

    1. Ayedh Almutairi & John P. Wheeler & David L. Slutzky & James H. Lambert, 2019. "Integrating Stakeholder Mapping and Risk Scenarios to Improve Resilience of Cyber‐Physical‐Social Networks," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 2093-2112, September.
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    4. Kelly F. Robinson & Mark R. DuFour & Jason L. Fischer & Seth J. Herbst & Michael L. Jones & Lucas R. Nathan & Tammy J. Newcomb, 2023. "Lessons Learned in Applying Decision Analysis to Natural Resource Management for High-Stakes Issues Surrounded by Uncertainty," Decision Analysis, INFORMS, vol. 20(4), pages 326-342, December.

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