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Mitigating Cognitive Bias to Improve Organizational Decisions: An Integrative Review, Framework, and Research Agenda
Journal of Management ( IF 9.3 ) Pub Date : 2024-10-22 , DOI: 10.1177/01492063241287188
Barbara Fasolo, Claire Heard, Irene Scopelliti

The detrimental influence of cognitive biases on decision-making and organizational performance is well established in management research. However, less attention has been given to bias mitigation interventions for improving organizational decisions. Drawing from the judgment and decision-making (JDM) literature, this paper offers a clear conceptualization of two approaches that mitigate bias via distinct cognitive mechanisms—debiasing and choice architecture—and presents a comprehensive integrative review of interventions tested experimentally within each approach. Observing a lack of comparative studies, we propose a novel framework that lays the foundation for future empirical research in bias mitigation. This framework identifies decision, organizational, and individual-level factors that are proposed to moderate the effectiveness of bias mitigation approaches across different contexts and can guide organizations in selecting the most suitable approach. By bridging JDM and management research, we offer a comprehensive research agenda and guidelines to select the most suitable evidence-based approach for improving decision-making processes and, ultimately, organizational performance.

中文翻译:


减轻认知偏差以改善组织决策:综合审查、框架和研究议程



认知偏差对决策和组织绩效的有害影响在管理研究中得到了充分证实。然而,对用于改进组织决策的偏倚缓解干预措施的关注较少。本文借鉴判断与决策 (JDM) 文献,对通过不同的认知机制减轻偏见的两种方法(消除偏见和选择架构)进行了清晰的概念化,并对每种方法中经过实验测试的干预措施进行了全面的综合回顾。观察到缺乏比较研究,我们提出了一个新的框架,为未来减少偏差的实证研究奠定了基础。该框架确定了决策、组织和个人层面的因素,这些因素旨在调节不同情况下偏见缓解方法的有效性,并可以指导组织选择最合适的方法。通过将 JDM 和管理研究联系起来,我们提供全面的研究议程和指南,以选择最合适的循证方法来改进决策过程,并最终改善组织绩效。
更新日期:2024-10-22
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