Employee Turnover and Firm Performance: Large-Sample Archival Evidence
Qin Li (),
Ben Lourie (),
Alexander Nekrasov () and
Terry Shevlin ()
Additional contact information
Qin Li: Hong Kong Polytechnic University, Hong Kong, China
Ben Lourie: Merage School of Business, University of California, Irvine, California 92697
Alexander Nekrasov: University of Illinois at Chicago, Chicago, Illinois 60607
Terry Shevlin: Merage School of Business, University of California, Irvine, California 92697
Management Science, 2022, vol. 68, issue 8, 5667-5683
Abstract:
Employee turnover is a significant cost for businesses and a key human capital metric, but firms do not disclose this measure. We examine whether turnover is informative about future firm performance using a large panel of turnover data extracted from employees’ online profiles. We find that turnover is negatively associated with future financial performance (one-quarter ahead return on assets and sales growth). The negative association between turnover and future performance is stronger for small firms, for young firms, for firms with low labor intensity, when the local labor market is tight, and when the firm is trying to replace departing employees. The negative association disappears when turnover is very low, suggesting that a certain amount of turnover can be beneficial. Consistent with the concern that turnover increases operational uncertainty, we find a positive association between turnover and the uncertainty of future financial performance. Finally, we find a significant association between turnover and future stock returns, suggesting that investors do not fully incorporate turnover information. Our findings answer the call from the Securities and Exchange Commission to determine the importance of turnover disclosure.
Keywords: human capital; employee turnover; retention; employee disclosure; firm performance; uncertainty; stock returns (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2021.4199 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:68:y:2022:i:8:p:5667-5683
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().