The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Meta‐analysis of the relationship between quality management practices and firm performance—implications for quality management theory development
Abstract
Quality management (QM) has received a high degree of attention in extant literature. Several research papers attribute superior firm performance to adoption of QM practices. The availability of a large number of research papers that investigate the impact of QM practices on performance provide an ideal setting for theory extension and refinement using meta‐analysis techniques. In this paper a meta‐analytic study is presented that fulfills two objectives. First, the paper formalizes performance implications of adopting QM practices and present hypothesized relationship between QM practices and performance. Second, a meta‐analysis of correlation (Hunter and Schmidt, 1990) approach is used to examine the empirical research in QM to determine which QM practices are positively related to improved performance. The study also examines the presence of moderating factors in the association between QM practices and performance. The results support many hypothesized relationships and also point towards the presence of moderating factors in almost all QM practice–performance relationships. A discussion of the findings is presented and directions for further development of QM theory are proposed.
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Cites
(1979) · Medical Entomology and Zoology · Cited by 11,252
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Deming, W. E. (1982) · Medical Entomology and Zoology · Cited by 7,297
Organizational innovation: A meta-analysis of effects of determinants and moderators
Damanpour, F. (1991) · Academy of Management Journal · doi:10.2307/256406 · Cited by 6,542
Quasi-experimentation: Design and analysis issues for field settings
Shrout, P. E. (1980) · Evaluation and Program Planning · doi:10.1016/0149-7189(80)90063-4 · Cited by 6,010
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Primary, Secondary, and Meta-Analysis of Research
GLASS, G. V. (1976) · Educational Researcher · doi:10.3102/0013189x005010003 · Cited by 4,890
Lean manufacturing: context, practice bundles, and performance
Shah, R., & Ward, P. T. (2003) · Journal of Operations Management · doi:10.1016/s0272-6963(02)00108-0 · Cited by 2,897
Building the Learning Organization
Marquardt, M. J. (1995) · Cited by 2,767
Ambiguity and Choice in Organizations.
Perrow, C., March, J. G., & Olsen, J. P. (1977) · Contemporary Sociology · doi:10.2307/2064777 · Cited by 2,704
Cited by
Knowledge transfer and organizational innovation: Impacts of quality and environmental management
Hamdoun, M., Chiappetta Jabbour, C. J., & Ben Othman, H. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.05.031 · Cited by 163
Marin-Garcia, J. A., & Bonavia, T. (2015) · International Journal of Production Research · doi:10.1080/00207543.2014.975852 · Cited by 133
Using Lean Six Sigma to Reduce Patient Cycle Time in a Nonprofit Community Clinic
Kovach, J. V., & Ingle, D. (2019) · Quality Management in Health Care · doi:10.1097/qmh.0000000000000215 · Cited by 18
Metadata
- Authors
- Nair, A.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2005-12-13
- Volume
- 24
- Issue
- 6
- Pages
- 948-975
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W1041534704
- Cited by
- 593
- References
- 80
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
