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Cited by 440

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

Wilson, Darryl D., Collier, David A.·2000·Decision Sciences

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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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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CoChat. (2026). Citation check: An Empirical Investigation of the Malcolm Baldrige National Quality Award Causal Model. https://app.cochat.ai/papers/10.1111/j.1540-5915.2000.tb01627.x
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Wilson, D. D., & Collier, D. A. (2000). An Empirical Investigation of the Malcolm Baldrige National Quality Award Causal Model. Decision Sciences. https://doi.org/10.1111/j.1540-5915.2000.tb01627.x

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.