The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
An Empirical Investigation of the Malcolm Baldrige National Quality Award Causal Model
Abstract
The objective of this research is to test the theory and causal performance linkages implied by the Malcolm Baldrige National Quality Award (MBNQA). The survey instrument used a comprehensive set of 101 questions that were directly tied to specific criteria in the 1995 MBNQA Criteria. Results reported here represent the first published article that tests the MBNQA performance relationships and causal model using comprehensive measurement and structural models. In general, our research concludes that (1) The underlying theory of the MBNQA is supported that “leadership drives the system that causes results”; (2) Leadership is the most important driver of system performance; (3) Leadership has no direct effect on Financial Results but must influence overall performance “through the system”; (4) Information and Analysis is statistically the second most important Baldrige category; (5) the Baldrige category, Process Management, is twice as important when predicting customer satisfaction as when predicting financial results; and (6) a modified “within system” set of five Baldrige causal relationships is a good predictor of organizational performance.
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Cites
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Cited by
The relationship between total quality management practices and their effects on firm performance
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Sadikoglu, E., & Zehir, C. (2010) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.02.013 · Cited by 600
Nair, A. (2006) · Journal of Operations Management · doi:10.1016/j.jom.2005.11.005 · Cited by 593
A replication and extension of quality management into the supply chain
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Metadata
- Authors
- Wilson, D. D., & Collier, D. A.
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2000-06
- Volume
- 31
- Issue
- 2
- Pages
- 361-383
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2103264985
- Cited by
- 440
- References
- 27
- FWCI
- 33.04
- Type
- journal article
- Language
- en
- Open access
- closed
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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.