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
2秒前
晴朗泥泞完成签到,获得积分10
2秒前
香蕉君达完成签到,获得积分10
3秒前
曲书文完成签到,获得积分10
3秒前
ding应助cerberus采纳,获得10
3秒前
4秒前
5秒前
呆萌的鑫完成签到,获得积分10
5秒前
SCI的李发布了新的文献求助30
6秒前
8秒前
研友_8WqW7n发布了新的文献求助10
8秒前
呆萌的鑫发布了新的文献求助10
9秒前
cerberus完成签到,获得积分10
10秒前
雪宝宝发布了新的文献求助10
12秒前
臻灏完成签到,获得积分10
16秒前
坡坡大王发布了新的文献求助10
18秒前
黄小鱼儿发布了新的文献求助10
18秒前
打打应助Ting采纳,获得30
18秒前
18秒前
lll完成签到 ,获得积分10
19秒前
lmr发布了新的文献求助10
20秒前
chrono发布了新的文献求助10
20秒前
共享精神应助HQ采纳,获得10
20秒前
发表更好文章完成签到,获得积分10
21秒前
娇气的涵柏完成签到,获得积分10
22秒前
小c发布了新的文献求助10
24秒前
温柔以冬发布了新的文献求助10
24秒前
27秒前
Bill完成签到,获得积分10
27秒前
丘比特应助谦让的沛蓝采纳,获得10
27秒前
28秒前
sheetung完成签到,获得积分10
28秒前
长情笑柳完成签到 ,获得积分10
28秒前
29秒前
Hello应助狐狸采纳,获得10
29秒前
现代苑博完成签到 ,获得积分10
29秒前
30秒前
30秒前
时光发布了新的文献求助10
30秒前
OK应助Prof.Z采纳,获得50
31秒前
高分求助中
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
CLSI M27M44S Performance Standards for Antifungal Susceptibility Testing of Yeasts Fourth Edition 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7119582
求助须知:如何正确求助?哪些是违规求助? 8771920
关于积分的说明 18548670
捐赠科研通 6693016
什么是DOI,文献DOI怎么找? 3147586
关于科研通互助平台的介绍 2265869
邀请新用户注册赠送积分活动 2122050