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Cited by 1,809

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Human Resource Bundles and Manufacturing Performance: Organizational Logic and Flexible Production Systems in the World Auto Industry

Macduffie, John Paul·1995·ILR Review
DOI 10.1177/001979399504800201
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Abstract

Using a unique international data set from a 1989–90 survey of 62 automotive assembly plants, the author tests two hypotheses: that innovative HR practices affect performance not individually but as interrelated elements in an internally consistent HR “bundle” or system; and that these HR bundles contribute most to assembly plant productivity and quality when they are integrated with manufacturing policies under the “organizational logic” of a flexible production system. Analysis of the survey data, which tests three indices representing distinct bundles of human resource and manufacturing practices, supports both hypotheses. Flexible production plants with team-based work systems, “high-commitment” HR practices (such as contingent compensation and extensive training), and low inventory and repair buffers consistently outperformed mass production plants. Variables capturing two-way and three-way interactions among the bundles of practices are even better predictors of performance, supporting the integration hypothesis.

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Cited by

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Metadata

Authors
Macduffie, J. P.
Venue
ILR Review
Publisher
SAGE Publications
Published
1995-01
Volume
48
Issue
2
Pages
197-221
ISSN
  • 0019-7939
  • 2162-271X
DOI
10.1177/001979399504800201
Cited by
1,809
References
2
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Human Resource Bundles and Manufacturing Performance: Organizational Logic and Flexible Production Systems in the World Auto Industry. https://app.cochat.ai/papers/10.1177/001979399504800201
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Macduffie, J. P. (1995). Human Resource Bundles and Manufacturing Performance: Organizational Logic and Flexible Production Systems in the World Auto Industry. ILR Review. https://doi.org/10.1177/001979399504800201

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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