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探索政策过度反应的过程:新冠疫情封锁决策

Exploring the Process of Policy Overreaction: The COVID-19 Lockdown Decisions.

作者信息

Hafsi Taieb, Baba Sofiane

机构信息

Holder of the Strategy and Society Chair, HEC Montréal.

Université de Sherbrooke.

出版信息

J Manag Inq. 2023 Apr;32(2):152-173. doi: 10.1177/10564926221082494. Epub 2022 Mar 7.

Abstract

Policy overreaction is a common phenomenon, especially in complex and emergency situations where politicians are led to make decisions fast. In these emergency decisions, emotions run generally high and cognitive processes are often impaired. The conditions of policy overreaction are in place as emotions overwhelm decision makers' rational processes. Drawing on the response patterns of three countries to the COVID-19 pandemic, we develop a process model of policy overreaction which describes the effects of negative emotions and institutional isomorphism on policy decision-making. Our model highlights four critical stages: negative emotions buildup, propagation of fear, isomorphic decision-making, and leading to an intractable crisis. This article shows precisely how the cascading effect of negative emotions, particularly fear, is contagious and spreads to generate crowd effects, which bend considerably policy makers' ability to make rational decisions. Our theory provides a better understanding of the process by which policy overreaction takes place.

摘要

政策过度反应是一种常见现象,尤其是在复杂和紧急情况下,政治家们被迫迅速做出决策。在这些紧急决策中,情绪通常高涨,认知过程往往受到损害。当情绪压倒决策者的理性过程时,政策过度反应的条件就具备了。借鉴三个国家对新冠疫情的应对模式,我们构建了一个政策过度反应的过程模型,该模型描述了负面情绪和制度同构对政策决策的影响。我们的模型突出了四个关键阶段:负面情绪积累、恐惧传播、同构决策,并导致棘手的危机。本文精确展示了负面情绪,尤其是恐惧的连锁效应是如何具有传染性并扩散以产生群体效应的,这极大地影响了政策制定者做出理性决策的能力。我们的理论有助于更好地理解政策过度反应发生的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d347/9936179/a119ecf8c9cc/10.1177_10564926221082494-fig1.jpg

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