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
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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Cites
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
THE IMPACT OF HUMAN RESOURCE MANAGEMENT ON ORGANIZATIONAL PERFORMANCE: PROGRESS AND PROSPECTS.
BECKER, B., & GERHART, B. (1996) · Academy of Management Journal · doi:10.2307/256712 · Cited by 3,152
The Human Resource Architecture: Toward a Theory of Human Capital Allocation and Development
Lepak, D. P., & Snell, S. A. (1999) · The Academy of Management Review · doi:10.2307/259035 · Cited by 2,855
The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines
Ichniowski, C., Shaw, K. L., & Prennushi, G. (1997) · American Economic Review · Cited by 2,512
Riding the waves of culture: Understanding cultural diversity in business
(1993) · Long Range Planning · doi:10.1016/0024-6301(93)90118-y · Cited by 2,430
Organizational Social Capital and Employment Practices
Leana, C. R., & van Buren, H. J. (1999) · The Academy of Management Review · doi:10.5465/amr.1999.2202136 · Cited by 2,063
Macduffie, J. P. (1995) · ILR Review · doi:10.1177/001979399504800201 · Cited by 1,809
HIGH-INVOLVEMENT WORK PRACTICES, TURNOVER, AND PRODUCTIVITY: EVIDENCE FROM NEW ZEALAND.
Guthrie, J. P. (2001) · Academy of Management Journal · doi:10.2307/3069345 · Cited by 1,737
Manufacturing Advantage: Why High-Performance Work Systems Pay Off
Levine, D. I., Appelbaum, E., Bailey, T., Berg, P., & Kalleberg, A. L. (2001) · Industrial and Labor Relations Review · doi:10.2307/2696195 · Cited by 1,544
MANAGING CUSTOMER SERVICES: HUMAN RESOURCE PRACTICES, QUIT RATES, AND SALES GROWTH.
Batt, R. (2002) · Academy of Management Journal · doi:10.2307/3069383 · Cited by 1,414
Cited by
Human resource management and employee well-being: towards a new analytic framework
Guest, D. E. (2017) · Human Resource Management Journal · doi:10.1111/1748-8583.12139 · Cited by 1,362
Kramar, R. (2014) · The International Journal of Human Resource Management · doi:10.1080/09585192.2013.816863 · Cited by 960
Alfes, K., Shantz, A. D., Truss, C., & Soane, E. C. (2013) · The International Journal of Human Resource Management · doi:10.1080/09585192.2012.679950 · Cited by 770
Guerci, M., Longoni, A., & Luzzini, D. (2016) · The International Journal of Human Resource Management · doi:10.1080/09585192.2015.1065431 · Cited by 589
A High Performance Work Practices Taxonomy: Integrating the Literature and Directing Future Research
Posthuma, R. A., Campion, M. C., Masimova, M., & Campion, M. A. (2013) · Journal of Management · doi:10.1177/0149206313478184 · Cited by 478
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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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.