Knowledge‐sharing ties and equivalence in corporate online communities: A novel source to understand voluntary turnover

人事变更率 中心性 业务 知识共享 人际关系 知识管理 劳动力 计算机科学 心理学 经济 社会心理学 数学 管理 组合数学 经济增长
作者
Yuan Chen,Hsing Kenneth Cheng,Yang Liu,Jingchuan Pu,Liangfei Qiu,Ning Wang
出处
期刊:Production and Operations Management [Wiley]
卷期号:31 (10): 3896-3913 被引量:12
标识
DOI:10.1111/poms.13794
摘要

An increasing number of companies are using corporate online communities, a new information technology tool, to facilitate internal knowledge sharing. The corporate online community also offers companies a novel source to understand employee's behaviors such as voluntary turnover, an important part of workforce management. Little is known, however, about whether and to what extent an employee's voluntary turnover is related to their knowledge‐sharing activities in the corporate online community. In this study, we address this critical issue by jointly considering in‐degree ties (i.e., knowledge acquisition) and out‐degree ties (i.e., knowledge contribution), which we combine into two novel knowledge‐sharing indicators: (i) the existence of bidirectional (vs. unidirectional) knowledge‐sharing ties and (ii) the equivalence of knowledge‐sharing ties (i.e., the balance between in‐degree centrality and out‐degree centrality). We theorize the relationships between these two indicators and the likelihood of voluntary employee turnover, and we test our hypotheses by collaborating with a large company to collect official voluntary turnover records and a unique dataset of detailed knowledge‐sharing behaviors in its corporate online community. A survival model and a series of robustness checks consistently indicate that voluntary turnover is less likely among employees who establish bidirectional knowledge‐sharing ties (rather than unidirectional ties) and that voluntary turnover is less likely among those with a higher equivalence of knowledge‐sharing ties. In light of the critical role of workforce management and the extensive use of online communities, our study offers important managerial implications and can help companies better understand or predict employees’ voluntary turnover from their online knowledge‐sharing activities.
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