Forecasting managerial turnover through e-mail based social network analysis
作者：
Highlights：
• Turnover can be predicted via email-based social network analysis.
• Collecting 18 months of emails, we analyzed social network metrics for 866 managers.
• Managers who quit have lower closeness centrality and less engaged conversations.
• After deciding to leave, managers tend to invert their communication behavior.
摘要
•Turnover can be predicted via email-based social network analysis.•Collecting 18 months of emails, we analyzed social network metrics for 866 managers.•Managers who quit have lower closeness centrality and less engaged conversations.•After deciding to leave, managers tend to invert their communication behavior.
论文关键词：Turnover,Communication,Human relations,Social network,E-mail network analysis,Semantic analysis
论文评审过程：Received 4 November 2016, Revised 3 February 2017, Accepted 5 February 2017, Available online 5 February 2017, Version of Record 11 February 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.02.017
