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Cited by 546

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Alternative Conceptualizations of the Relationship Between Voluntary Turnover and Organizational Performance

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Shaw, Jason D., Gupta, Nina, Delery, John E.·2005·Academy of Management Journal
DOI 10.5465/amj.2005.15993112
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Abstract

We propose four alternative predictions regarding the relationship between voluntary turnover and workforce performance and develop the hypothesis that safety and productivity outcomes mediate that relationship. In two intraindustry studies, strong support emerged for curvilinearity: the relationship between voluntary turnover and workforce performance is negative, but it is attenuated as turnover increases. Some modest support for workforce performance as a mediator of the voluntary turnover and financial performance relationship emerged. Implications for organization-level theory and research are addressed.

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Metadata

Authors
Shaw, J. D., Gupta, N., & Delery, J. E.
Venue
Academy of Management Journal
Publisher
Academy of Management
Published
2005-02
Volume
48
Issue
1
Pages
50-68
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
DOI
10.5465/amj.2005.15993112
OpenAlex
W2100658058
Cited by
546
References
2
FWCI
27.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Alternative Conceptualizations of the Relationship Between Voluntary Turnover and Organizational Performance. https://app.cochat.ai/papers/10.5465/amj.2005.15993112
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Shaw, J. D., Gupta, N., & Delery, J. E. (2005). Alternative Conceptualizations of the Relationship Between Voluntary Turnover and Organizational Performance. Academy of Management Journal. https://doi.org/10.5465/amj.2005.15993112

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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.