在团队中压倒一切:信念、社会形象和性别的作用

Manag. Sci. Pub Date : 2022-06-13 DOI:10.1287/mnsc.2022.4434
Joy Guo, María P. Recalde
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引用次数: 2

摘要

为了阐明在工作场所的团队中影响谁会直言不讳的因素,我们研究了在有人提出意见后直言不讳的意愿。我们把表达不同意见称为压倒一切,并在实验室实验中研究这种行为,参与者成对地回答多项选择题。在对照治疗中,参与者匿名互动。在照片处理中,两个参与者在小组任务开始时都看到了与他们匹配的人的照片。通过一系列的激励任务,我们引出了对一个问题的每个可能答案选项是正确的可能性的信念。这使我们能够衡量分歧,并梳理出分歧与偏好在团队中推翻想法的决定中的作用。结果表明匿名增加了覆盖。这种治疗效果是由社会形象成本驱动的。对性别行为异质性的分析显示,男性和女性的覆盖可能性没有差异。然而,我们发现一些证据表明男性和女性受到不同的对待;当参与者不同意他们的伴侣时,他们更有可能无视女性而不是男性。偏好似乎在一定程度上解释了男女受到的不同待遇。通过对团队绩效的研究,我们发现压倒性对团队绩效的平均帮助,而团队的性别构成对团队绩效没有影响。本文被闫晨、行为经济学和决策分析等学科接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overriding in Teams: The Role of Beliefs, Social Image, and Gender
To shed light on the factors that affect who speaks up in teams in the workplace, we study willingness to speak up after someone has raised an opinion. We call voicing disagreement overriding and study this behavior in a laboratory experiment where participants answer multiple choice questions in pairs. In a control treatment, participants interact anonymously. In a photo treatment, both participants see the photo of the person they are matched with at the beginning of the group task. Using a series of incentivized tasks, we elicit beliefs about the likelihood that each possible answer option to a question is correct. This allows us to measure disagreement and to tease apart the role of disagreement versus preferences in the decision to override ideas in teams. Results show that anonymity increases overriding. This treatment effect is driven by social image costs. Analysis of heterogeneity in behavior by gender reveals no differences between the likelihood that men and women override. However, we find some evidence that men and women are treated differently; when participants disagree with their partner, they are more likely to override a woman than a man. Preferences seem to in part explain the differential treatment of men and women. Studying group performance, we find that overriding helps groups on average, while the gender composition of teams does not affect team performance. This paper was accepted by Yan Chen, behavioral economics and decision analysis.
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