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Cited by 353

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

An Employment Systems Approach to Turnover: Human Resources Practices, Quits, Dismissals, and Performance

Batt, Rosemary, Colvin, Alexander J. S.·2011·Academy of Management Journal

Abstract

This study examines the relationship between alternative approaches to employment systems and quits, dismissals, and customer service, using cross-sectional, longitudinal data from nationally representative surveys of call center establishments. In results contrary to those of prior research, the antecedents and consequences of quits and dismissals are quite similar. We find that high-involvement work organization and long-term investments and inducements are associated with significantly lower quit and dismissal rates, but short-term performance-enhancing expectations are related to significantly higher quit and dismissal rates. Establishments with higher quit and dismissal rates have significantly lower customer service, as reported by managers.

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Metadata

Authors
Batt, R., & Colvin, A. J. S.
Venue
Academy of Management Journal
Published
2011-08
Volume
54
Issue
4
Pages
695-717
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2329962077
Cited by
353
References
82
FWCI
27.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Employment Systems Approach to Turnover: Human Resources Practices, Quits, Dismissals, and Performance. https://app.cochat.ai/papers/10.5465/amj.2011.64869448
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Batt, R., & Colvin, A. J. S. (2011). An Employment Systems Approach to Turnover: Human Resources Practices, Quits, Dismissals, and Performance. Academy of Management Journal. https://doi.org/10.5465/amj.2011.64869448

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.