The DOI matches its Crossref record.
An Alternative Approach: The Unfolding Model of Voluntary Employee Turnover
Abstract
The model of employee turnover described in this paper applies constructs and concepts from decision making, statistics, and social psychology to facilitate understanding and to redirect theory development and empirical research. The process of employee turnover is modeled by four distinctive decision paths; each decision path involves distinctive foci, psychological processes, and external events. Further, five specific contributions of the model are suggested, and recommendations for empirical testing and future research are offered.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Getting to the “COR”: Understanding the Role of Resources in Conservation of Resources Theory
Halbesleben, J. R. B., Neveu, J.-P., Paustian-Underdahl, S. C., & Westman, M. (2014) · Journal of Management · doi:10.1177/0149206314527130 · Cited by 3,356
WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNTARY TURNOVER.
Mitchell, T. R., Holtom, B. C., Lee, T. W., Sablynski, C. J., & Erez, M. (2001) · Academy of Management Journal · doi:10.2307/3069391 · Cited by 3,218
Self-citationThe Benefits of Climate for Inclusion for Gender-Diverse Groups
Nishii, L. H. (2013) · Academy of Management Journal · doi:10.5465/amj.2009.0823 · Cited by 1,354
Bonaccio, S., & Dalal, R. S. (2006) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2006.07.001 · Cited by 1,011
Sustainable careers: Towards a conceptual model
De Vos, A., Van der Heijden, B. I. J. M., & Akkermans, J. (2020) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2018.06.011 · Cited by 1,010
Metadata
- Authors
- Lee, T. W., & Mitchell, T. R.
- Venue
- The Academy of Management Review
- Publisher
- Academy of Management
- Published
- 1994-01
- Volume
- 19
- Issue
- 1
- Pages
- 51
- ISSN
- 0363-7425 (ISSN-L)
- OpenAlex
- W2150152123
- Cited by
- 1,483
- References
- 0
- FWCI
- 11.41
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Alternative Approach: The Unfolding Model of Voluntary Employee Turnover. https://app.cochat.ai/papers/10.2307/258835
- The paper
- Lee, T. W., & Mitchell, T. R. (1994). An Alternative Approach: The Unfolding Model of Voluntary Employee Turnover. The Academy of Management Review. https://doi.org/10.2307/258835
Data sources
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.