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Journal ArticleDOI

Total quality management as competitive advantage: A review and empirical study

Thomas C. Powell
- 01 Jan 1995 - 
- Vol. 16, Iss: 1, pp 15-37
TLDR
In this paper, the authors examine TQM as a potential source of sustainable competitive advantage, review existing empirical evidence, and report findings from a new empirical study of TQLM's performance consequences.
Abstract
Total Quality Management (TQM) has become, according to one source, ‘as pervasive a part of business thinking as quarterly financial results,’ and yet TQM's role as a strategic resource remains virtually unexamined in strategic management research. Drawing on the resource approach and other theoretical perspectives, this article examines TQM as a potential source of sustainable competitive advantage, reviews existing empirical evidence, and reports findings from a new empirical study of TQM's performance consequences. The findings suggest that most features generally associated with TQM—such as quality training, process improvement, and benchmarking—do not generally produce advantage, but that certain tacit, behavioral, imperfectly imitable features—such as open culture, employee empowerment, and executive commitment—can produce advantage. The author concludes that these tacit resources, and not TQM tools and techniques, drive TQM success, and that organizations that acquire them can outperform competitors with or without the accompanying TQM ideology.

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References
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Book ChapterDOI

Firm Resources and Sustained Competitive Advantage

TL;DR: In this article, the authors examined the link between firm resources and sustained competitive advantage and analyzed the potential of several firm resources for generating sustained competitive advantages, including value, rareness, imitability, and substitutability.
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Diffusion of Innovations

TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
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TL;DR: In this paper, a general formula (α) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test, therefore an estimate of the correlation between two random samples of items from a universe of items like those in the test.
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Applied multiple regression/correlation analysis for the behavioral sciences

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A Resource-Based View of the Firm

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