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Cited by 85

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

Job embeddedness and voluntary turnover in the face of job insecurity

Peltokorpi, Vesa, Allen, David G.·2024·Journal of Organizational Behavior
DOI 10.1002/job.2728
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Abstract

Summary: Two important contributions to the understanding of voluntary turnover are the ideas that employees become embedded in a net or web of restraining forces on‐ and off‐the‐job and that they experience varying degrees of control and desire that yield proximal withdrawal states explaining turnover motivations. We build on these ideas in two multi‐wave studies to study job insecurity, one of the most common work stressors and top concerns among employees around the world. Study 1 demonstrates that job search mediates the positive relationship between job insecurity and voluntary turnover, and that employees higher in on‐the‐job embeddedness are less likely to search for jobs despite job insecurity. Study 2 demonstrates that turnover intention mediates the positive relationship between job insecurity and voluntary turnover, and that employees higher in on‐the‐job embeddedness are less likely to contemplate quitting despite job insecurity. However, off‐the‐job embeddedness had opposite interactive effects, exacerbating the relationship of job insecurity with turnover.

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Citations

Cites

Research works printed but not linked: 6

  1. Brislin R. W., 1980, Handbook of cross‐cultural psychology, 349
  2. 10.2307/258284 · DOI
  3. Hayes A. F., 2013, Introduction to mediation, moderation, and conditional process analyses: A regression‐based approach
  4. Hom P. W., 1995, Employee turnover
  5. 10.1037/0021-9010.86.5.837 · DOI · Paper page
  6. Yao X., 2004, Understanding employee retention and turnover, 153

Metadata

Authors
Peltokorpi, V., & Allen, D. G.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
2023-07-07
Volume
45
Issue
3
Pages
416-433
ISSN
  • 0894-3796
  • 1099-1379
DOI
10.1002/job.2728
Cited by
85
References
79
Language
en
Licence
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.