Decision Making Under Risk and Uncertainty in Performance Management
VerifiedAdded on 2020/07/22
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Report
AI Summary
This report provides a comprehensive analysis of how risk and uncertainty impact decision-making processes within performance management. It begins with an introduction to performance management and its dependence on effective decision-making, which is often complicated by inherent business risks. The report defines and differentiates between risk and uncertainty, illustrating their effects with examples. It then delves into various types of risk, including risk-seeking, risk-averse, and risk-neutral behaviors. Furthermore, the report evaluates different decision-making approaches under uncertainty, such as Maximin, Maximax, and Minimax-regret, and when probabilities of outcomes are available, the expected value approach is also discussed. The report concludes by summarizing the significant influence of risk and uncertainty on business decisions and the importance of considering these factors in management strategies. The report references several academic sources to support its arguments.
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