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Cited by 640

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

The relationship between ‘high-performance work practices’ and employee attitudes: an investigation of additive and interaction effects

Macky, Keith, Boxall, Peter·2007·The International Journal of Human Resource Management

Abstract

In order to improve our understanding of mediating variables inside the ‘black box’ of the firm's labour management, this paper examines the relationship between high-performance work system (HPWS) practices and employee attitudes. Using a randomly selected, national population sample, clear evidence was found for a positive relationship between HPWS practices and the attitudinal variables of job satisfaction, trust in management, and organizational commitment, implying that HPWS can provide win-win outcomes for employees and employers. However, the study also tests – from an employee perspective – the ‘complementarities thesis’ and finds negative interaction effects among HPWS practices. This strengthens the argument that there are likely to be limits to the positive outcomes of HPWSs for employees. Evidence of sequencing in the employee attitudinal responses to HPWSs was also found, with job satisfaction as the key mediating variable.

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Metadata

Authors
Macky, K., & Boxall, P.
Venue
The International Journal of Human Resource Management
Published
2007-04
Volume
18
Issue
4
Pages
537-567
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W2033469199
Cited by
640
References
7
FWCI
37.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The relationship between ‘high-performance work practices’ and employee attitudes: an investigation of additive and interaction effects. https://app.cochat.ai/papers/10.1080/09585190601178745
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Macky, K., & Boxall, P. (2007). The relationship between ‘high-performance work practices’ and employee attitudes: an investigation of additive and interaction effects. The International Journal of Human Resource Management. https://doi.org/10.1080/09585190601178745

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.