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Alternative quality improvement practices and organization performance

Adam, Everett E.·1994·Journal of Operations Management

Abstract

Quality improvement is a highly desired objective in the fiercely competitive international business world, yet it remains elusive to many US organizations. This study relates alternative quality improvement approaches to actual operating and financial performance. Productivity improvement approaches are also investigated and related to performance to define better the relationship between quality and productivity. In this study, multiple quality and productivity approaches are correlated to eight quality, three operating, and three financial performance measures for 187 US business firms. Results indicate a strong relationship between a quality improvement approach and performance quality. The relationship between a quality improvement approach and operating or financial performance is weaker, but significant. Productivity improvement approaches also help predict quality, operating, and financial performance — often similarly to quality improvement approaches. This study suggests that the profile of quality and productivity improvement approach should vary, depending upon whether the firm is most interested in performance quality, operating improvement, or financial performance.

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Metadata

Authors
Adam, E. E.
Venue
Journal of Operations Management
Publisher
Wiley
Published
1994-10
Volume
12
Issue
1
Pages
27-44
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2164384370
Cited by
233
References
0
FWCI
7.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Alternative quality improvement practices and organization performance. https://app.cochat.ai/papers/10.1016/0272-6963(94)90004-3
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Adam, E. E. (1994). Alternative quality improvement practices and organization performance. Journal of Operations Management. https://doi.org/10.1016/0272-6963(94)90004-3

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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.