正确的朋友在正确的地方:理解网络结构作为自愿离职的预测因子。

Gary A. Ballinger, Rob Cross, Brooks Holtom
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引用次数: 31

摘要

关于社交网络和员工留任之间关系的研究几乎完全集中在直接联系的数量上,并且通常发现,拥有更多的联系会降低员工离职的可能性。目前的研究超越了网络中心性的简单测量,研究了社会资本和自愿流动的两个额外的、理论上不同的方面之间的关系。在2个组织中,我们发现了一致的证据,表明声誉与自愿离职之间存在负相关关系,这是通过与高度寻找的其他人的关系(传入特征向量中心性)来衡量的。此外,我们发现经纪(结构漏洞)与离职之间存在显著的负相关关系,但仅适用于高层员工。本文讨论了扩大社会资本措施套件以理解自愿离职的理论和实践意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The right friends in the right places: Understanding network structure as a predictor of voluntary turnover.
Research examining the relationship between social networks and employee retention has focused almost exclusively on the number of direct links and generally found that having more ties decreases the likelihood of turnover. The present research moves beyond simple measures of network centrality to investigate the relationship between 2 additional, and theoretically distinct, facets of social capital and voluntary turnover. In 2 organizations, we found consistent evidence of a negative relationship between reputation, as measured by relationships with highly sought-out others (incoming eigenvector centrality) and voluntary turnover. Further, we found that the negative relationship between brokerage (structural holes) and turnover is significant, but only for higher-level employees. The theoretical and practical implications of expanding the suite of social capital measures to understand voluntary turnover are discussed.
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