社会政治工作场所网络在非自愿员工流动中的作用

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2023-11-08 DOI:10.1016/j.socnet.2023.10.005
Theresa M. Floyd , Alexandra Gerbasi , Giuseppe (Joe) Labianca
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引用次数: 0

摘要

虽然表现不佳是员工被解雇的原因之一,但之前的研究表明,它在解释解雇方面的作用有限。我们认为,社会政治问题在决定谁被解雇方面发挥了作用。利用美国一家医疗保健公司的现场数据和具有管理经验的参与者的实验数据,我们展示了主管对重点员工的政治关注如何与解雇决定相关,这取决于主管-员工的政治关系及其在工作场所网络中的嵌入方式。我们不仅预计主管不太可能解雇他们视为政治盟友的员工,更有可能解雇对手,而且我们还认为,与员工有更少(更多)可选择盟友的主管解雇员工的可能性更小(更多)。此外,在自己的网络中有许多对手的主管在政治上更依赖于员工,这使得解雇员工的可能性更小,而如果员工有许多对手,主管有更大的自由来解雇员工。我们的发现有助于非自愿离职的研究,因为它表明,社会网络理解组织政治的方法有助于我们理解为什么特定的个人成为解雇的目标,而不仅仅是出于绩效考虑。
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The role of sociopolitical workplace networks in involuntary employee turnover

While poor performance is one reason employees are fired, previous research suggests it plays a limited role in explaining terminations. We argue that sociopolitical concerns play a role in determining who is terminated. Using field data from a U.S. health care company and experimental data using participants with supervisory experience, we show how the supervisor’s political concerns with the focal employee, which are contingent on the supervisor-employee political relationship and the way it is embedded within the workplace network, are related to dismissal decisions. Not only do we expect that a supervisor will be less likely to terminate an employee they see as a political ally and more likely to dismiss an adversary, but we also argue that a supervisor with fewer (more) alternative allies to the employee is less (more) likely to dismiss the employee. Additionally, a supervisor with numerous adversaries in their own network depends more heavily on the employee politically, making dismissal less likely, whereas if the employee has numerous adversaries, the supervisor has greater latitude to terminate the employee. Our findings contribute to research on involuntary turnover by showing that a social network approach to understanding organizational politics helps us understand why specific individuals are targeted for dismissal, above and beyond performance considerations.

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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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