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 经济增长 组合数学 管理
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
冷静的黎云完成签到,获得积分20
1秒前
科研通AI6.2应助111采纳,获得10
1秒前
1秒前
2秒前
晶晶完成签到,获得积分10
2秒前
2秒前
zhiqing完成签到 ,获得积分10
2秒前
hahahaman完成签到,获得积分10
2秒前
1520701744发布了新的文献求助10
2秒前
song完成签到,获得积分10
2秒前
高高高完成签到,获得积分10
2秒前
ZDTT完成签到,获得积分10
2秒前
shgd完成签到,获得积分10
3秒前
hoshi发布了新的文献求助10
3秒前
随梦而飞发布了新的文献求助10
3秒前
4秒前
wzx完成签到,获得积分10
4秒前
SUN完成签到 ,获得积分10
4秒前
Owen应助欧耶耶采纳,获得10
4秒前
5秒前
RY发布了新的文献求助10
5秒前
5秒前
linzhy完成签到,获得积分10
5秒前
amberzyc完成签到,获得积分0
5秒前
万能图书馆应助每天100次采纳,获得10
5秒前
飘逸抽屉发布了新的文献求助10
5秒前
song发布了新的文献求助10
6秒前
Iris99完成签到,获得积分10
7秒前
青柠发布了新的文献求助10
8秒前
cc关注了科研通微信公众号
8秒前
沙特完成签到,获得积分20
8秒前
星辰大海应助123采纳,获得10
8秒前
顽石发布了新的文献求助10
9秒前
9秒前
充电宝应助Min采纳,获得10
9秒前
9秒前
9秒前
高屋建瓴发布了新的文献求助10
9秒前
9秒前
小不点mark完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6519691
求助须知:如何正确求助?哪些是违规求助? 8312499
关于积分的说明 17775850
捐赠科研通 5621673
什么是DOI,文献DOI怎么找? 2926742
邀请新用户注册赠送积分活动 1903642
关于科研通互助平台的介绍 1764215