Stakeholder compensation model based on decision analysis | Zendy

Rosqvist Tony | Zendy

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Stakeholder compensation model based on decision analysis

Author(s) -

Rosqvist Tony

Publication year - 2003

Publication title -

journal of multi‐criteria decision analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 47

eISSN - 1099-1360

pISSN - 1057-9214

DOI - 10.1002/mcda.359

Subject(s) - judgement , compensation (psychology) , stakeholder , decision maker , context (archaeology) , decision analysis , decision process , decision model , optimal decision , process (computing) , computer science , business , operations research , management science , economics , psychology , engineering , process management , political science , artificial intelligence , decision tree , social psychology , management , mathematical economics , law , paleontology , machine learning , biology , operating system

A prescriptive decision model of stakeholder compensation is presented. The supra decision‐maker (regulator) may derive the optimal compensation for redefining decision options in a decision context with unevenly distributed, uncertain, consequences in a way that reflects fairness among stakeholders with different representational weight and risk‐attitude. The derived compensation is used by the supra decision‐maker as a bargaining factor for committing stakeholders in a decision‐making process. Expert judgement is utilized for specifying the probability distributions related to the uncertain consequences. Copyright © 2004 John Wiley & Sons, Ltd.

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