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Cited by 337

The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.

Human Resource Flexibility as a Mediating Variable Between High Performance Work Systems and Performance

Open access
Beltrán-Martín, Inmaculada, Roca-Puig, Vicente, Escrig-Tena, Ana, Bou-Llusar, Juan Carlos·2008·Journal of Management

Abstract

Much of the human resource management literature has demonstrated the impact of high performance work systems (HPWS) on organizational performance. A new generation of studies is emerging in this literature that recommends the inclusion of mediating variables between HPWS and organizational performance. The increasing rate of dynamism in competitive environments suggests that measures of employee adaptability should be included as a mechanism that may explain the relevance of HPWS to firm competitiveness. On a sample of 226 Spanish firms, the study's results confirm that HPWS influences performance through its impact on the firm's human resource (HR) flexibility.

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Metadata

Authors
Beltrán-Martín, I., Roca-Puig, V., Escrig-Tena, A., & Bou-Llusar, J. C.
Venue
Journal of Management
Published
2008-05-20
Volume
34
Issue
5
Pages
1009-1044
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2036092623
Cited by
337
References
139
FWCI
14.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human Resource Flexibility as a Mediating Variable Between High Performance Work Systems and Performance. https://app.cochat.ai/papers/10.1177/0149206308318616
The paper
Beltrán-Martín, I., Roca-Puig, V., Escrig-Tena, A., & Bou-Llusar, J. C. (2008). Human Resource Flexibility as a Mediating Variable Between High Performance Work Systems and Performance. Journal of Management. https://doi.org/10.1177/0149206308318616

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.