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职场网络中诚实与不诚实行为的不均衡扩散

The Unequal Diffusion of Honesty and Dishonesty in Workplace Networks
Management Science · 2026 · Romain Ferrali

中文摘要

诚实与不诚实行为都可能在组织成员之间扩散。了解二者中哪一种传播得更快十分重要,因为这会影响管理者在多大程度上需要诉诸其他可能成本更高的手段来遏制不诚实行为。从实证上评估诚实行为与不诚实行为哪一种传播得更快具有挑战性,因为这需要对个体成员的社会关系和不诚实行为进行实地测量,而这既带来测量问题,也带来推断问题。我们考察了一个来自某大型公司的原创精细数据集,该数据集使我们能够识别可能不诚实的行为主体以及员工之间的互动,同时提供了一个自然实验,从而规避了识别同伴间扩散时固有的推断问题。我们发现:(1)不诚实行为会扩散,而诚实行为不会;(2)这种扩散很可能是通过传播有关串谋机会的信息实现的;(3)在人员流动率较高的环境中,在招聘时依据不诚实倾向进行筛选的政策可能是遏制不诚实行为的有效手段。本文由组织领域编辑 Lamar Pierce 接收。资助信息:R. Ferrali 感谢 Mamdouha S. Bobst 和平与正义中心 [Grant 2016-12-Bobst]、法国国家研究署 [Grant ANR-17-EURE-0020] 以及艾克斯-马赛大学 A*MIDEX [卓越计划] 的支持。补充材料:在线附录和数据文件可在 https://doi.org/10.1287/mnsc.2023.01981 获取。

Abstract

Honest and dishonest behaviors may both diffuse among the members of an organization. Knowing which of the two spreads faster is important because it impacts the extent to which managers will need to resort to other, potentially more costly solutions to curb dishonest behavior. Assessing empirically which of honest behavior or dishonest behavior spreads faster is challenging because this requires field measurements of social relationships and dishonest behavior of individual members, which poses both measurement and inference problems. We examine an original fine-grained data set from a large company that allows for identifying agents likely to be dishonest and interactions among employees while offering a natural experiment that circumvents the inference problems associated with identifying peer-to-peer diffusion. We find (1) that dishonest behavior diffuses, whereas honest behavior does not; (2) that diffusion likely operates through spreading information about opportunities for collusion; and (3) that policies that screen on dishonesty at hiring may be efficient to curb dishonest behavior in environments with high turnover. This paper was accepted by Lamar Pierce, organizations. Funding: R. Ferrali acknowledges support from the Mamdouha S. Bobst Center for Peace and Justice [Grant 2016-12-Bobst], the French National Research Agency [Grant ANR-17-EURE-0020], and Aix-Marseille University—A*MIDEX [Excellence Initiative]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.01981 .
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