When Talent Loss Poses the Greatest Risk: Understanding the Effects of Departure Sequencing, Clustering, and Timing on Organizational Performance
by John Hausknecht and Jacob A. Holwerda, Cornell University
Funded: October 2012 Expected Completion: October 2014
Losing top talent poses substantial risk to organizational health and survival. The purpose of this study is to test a process model of employee turnover at the work unit level that directly addresses the sequencing, clustering, and timing of departures, and their effects on work unit operational performance. A partner organization has been identified to supply the relevant data, which will be analyzed using random coefficient modeling. Study results can provide finer-grained metrics that HR practitioners can use to diagnose and mitigate turnover-related risk.
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