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Identification of the Critical Factors of TQM*

Black, Simon A., Porter, Leslie J.·1996·Decision Sciences

Abstract

Current concepts in the field of Total Quality Management (TQM) are largely based upon case studies, anecdotal evidence and the prescriptions of leading “gurus.” Consequently, there is little consensus on which factors are critical to the success of the approach. Few attempts have been made to scientifically synthesise frameworks for measuring quality management practices, and a methodology for examining the issue has yet to be established. This has meant that current TQM models, such as the Malcolm Baldrige Award, have not been constructed or validated by empirical means. This paper presents a research methodology that can be used to improve self‐assessment frameworks, such as the Baldrige Award, to better inform organisations in the development of Total Quality Systems. The research extracts a series of items from the Baldrige model and established literature. These items formed the basis of a questionnaire sent to over 200 managers. Data was examined using several well‐established analytical techniques that identified 10 critical factors of TQM. These factors were shown to be reliable and valid, and offer new insights into our understanding of TQM.

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Crossref · 10.1111/j.1540-5915.1996.tb00841.x

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Metadata

Authors
Black, S. A., & Porter, L. J.
Venue
Decision Sciences
Publisher
Wiley
Published
1996-03
Volume
27
Issue
1
Pages
1-21
ISSN
  • 0011-7315 (ISSN-L)
  • 1540-5915
OpenAlex
W2037042994
Cited by
1,021
References
0
FWCI
30.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identification of the Critical Factors of TQM*. https://app.cochat.ai/papers/10.1111/j.1540-5915.1996.tb00841.x
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Black, S. A., & Porter, L. J. (1996). Identification of the Critical Factors of TQM*. Decision Sciences. https://doi.org/10.1111/j.1540-5915.1996.tb00841.x

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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.