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Cited by 240

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Correlates and consequences of high involvement work practices: the role of competitive strategy

Guthrie, James P., Spell, Chester S., Nyamori, Robert Ochoki·2002·The International Journal of Human Resource Management

Abstract

Illustrative of world-wide trends, New Zealand has undergone drastic product and labour market reforms in an attempt to stimulate economic growth and national competitiveness. Towards this goal, firms have been urged to emphasize differentiation strategies in their approach to their markets and also to become more progressive in their management of human resources. This study finds that whereas more intensive use of high involvement work practices promotes firm effectiveness, this effect depends on the competitive strategy being pursued. The use of high involvement work practices is positively associated with performance in firms competing on the basis of differentiation and shows no relationship in firms pursuing a strategy of cost leadership.

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Crossref · 10.1080/09585190110085071

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Metadata

Authors
Guthrie, J. P., Spell, C. S., & Nyamori, R. O.
Venue
The International Journal of Human Resource Management
Published
2002-01
Volume
13
Issue
1
Pages
183-197
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W2100814926
Cited by
240
References
1
FWCI
23.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Correlates and consequences of high involvement work practices: the role of competitive strategy. https://app.cochat.ai/papers/10.1080/09585190110085071
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Guthrie, J. P., Spell, C. S., & Nyamori, R. O. (2002). Correlates and consequences of high involvement work practices: the role of competitive strategy. The International Journal of Human Resource Management. https://doi.org/10.1080/09585190110085071

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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.