“Embedded” at hire? Predicting the voluntary and involuntary turnover of new employees
Keywords
biodata; embeddedness; retention; selection
Abstract
Embeddedness theory has been invoked to describe factors that constrain employee turnover, such as fit with the environment, interpersonal links, and potentially sacrificed benefits. In contrast with previous assumptions that embeddedness requires considerable time to develop on the job, we extend theory by demonstrating how biographical characteristics (i.e., biodata), assessed at or before the point of hire, are related to individual's propensity to be embedded, while also showing how such characteristics predict one's future turnover likelihood. Beyond voluntary turnover, we also build embeddedness-based theoretical explanations for involuntary turnover (i.e., terminations). To test these ideas, we conducted two studies at and before employees' point of hire, respectively: Study 1 examined how assessed biodata items of new employees relate to established embeddedness measures, whereas Study 2 linked the same biodata items assessed during the application process to employees' future involuntary, avoidable voluntary, and unavoidable voluntary turnover. Study 1 results revealed various biodata items predicted embeddedness in two distinct samples. In Study 2, results showed that biodata predicted turnover forms in unique ways. Our study highlights the utility of point-of-hire embeddedness propensity as a means to explain organizational exit, thereby demonstrating how organizations can use embeddedness tenets for employee recruitment and selection purposes.
Publication Date
3-1-2019
Publication Title
Journal of Organizational Behavior
Volume
40
Issue
3
Number of Pages
342-359
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1002/job.2335
Copyright Status
Unknown
Socpus ID
85056330339 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85056330339
STARS Citation
Rubenstein, Alex L.; Kammeyer-Mueller, John D.; Wang, Mo; and Thundiyil, Tomas G., "“Embedded” at hire? Predicting the voluntary and involuntary turnover of new employees" (2019). Scopus Export 2015-2019. 10680.
https://stars.library.ucf.edu/scopus2015/10680