The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Impact on Economic Performance of a Transformation in Workplace Relations
Abstract
This study examines how a transformation in patterns of conflict and cooperation affected economic performance in 25 work areas of a large, unionized manufacturing facility in the period 1984–87. Unlike most studies of industrial relations and economic performance, this study clearly distinguishes conflict from cooperation but evaluates the two together, rather than focusing on only one. An analysis of data collected from union and employer records and interviews strongly suggests that work areas with “traditional” labor-management relations, rooted in adversarial assumptions, had higher costs, more scrap, lower productivity, and a lower return to direct labor hours worked than work areas with “transformational” relations, characterized by increased cooperation and improved dispute resolution.
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Citations
Cites
Trist, E. L., & Bamforth, K. W. (1951) · Human Relations · doi:10.1177/001872675100400101 · Cited by 3,379
Cited by
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
(1992) · eCommons (Cornell University) · Cited by 44
Metadata
- Authors
- Cutcher-Gershenfeld, J.
- Venue
- ILR Review
- Publisher
- SAGE Publications
- Published
- 1991-01
- Volume
- 44
- Issue
- 2
- Pages
- 241-260
- ISSN
- 0019-7939 (ISSN-L)
- 2162-271X
- OpenAlex
- W2120181484
- Cited by
- 327
- References
- 1
- FWCI
- 35.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cutcher-Gershenfeld, J. (1991). The Impact on Economic Performance of a Transformation in Workplace Relations. ILR Review. https://doi.org/10.1177/001979399104400204
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.
