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Cited by 1,018

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Research and theory on high‐performance work systems: progressing the high‐involvement stream

Boxall, Peter, Macky, Keith·2009·Human Resource Management Journal

Abstract

The notion of a high‐performance work system (HPWS) constitutes a claim that there exists a system of work practices for core workers in an organisation that leads in some way to superior performance. In this article, we dissect this fuzzy notion and examine its companion terminology: high‐involvement work systems and high‐commitment management. We argue that a focus on the high‐involvement stream usefully grounds HPWS studies in an important area of workplace change in the current context and takes us away from eclectic and contentious selections of ‘best practices’. We review research models and findings in this stream. The path to better research lies in examining the underpinning processes experienced by workers when management seeks to pursue high‐involvement systems, and charting their links to employee and operational outcomes.

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Crossref · 10.1111/j.1748-8583.2008.00082.x

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Metadata

Authors
Boxall, P., & Macky, K.
Venue
Human Resource Management Journal
Publisher
Wiley
Published
2008-12-23
Volume
19
Issue
1
Pages
3-23
ISSN
  • 0954-5395 (ISSN-L)
  • 1748-8583
OpenAlex
W2073509778
Cited by
1,018
References
65
FWCI
46.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Research and theory on high‐performance work systems: progressing the high‐involvement stream. https://app.cochat.ai/papers/10.1111/j.1748-8583.2008.00082.x
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Boxall, P., & Macky, K. (2009). Research and theory on high‐performance work systems: progressing the high‐involvement stream. Human Resource Management Journal. https://doi.org/10.1111/j.1748-8583.2008.00082.x

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.