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The impact of “soft” and “hard” TQM elements on quality management results

Fotopoulos, Christos B., Psomas, Evangelos L.·2009·International Journal of Quality & Reliability Management

Abstract

Purpose: The purpose of this paper is to explore the relationships between “soft” and “hard” TQM elements and quality management results. Design/methodology/approach: Empirical data were drawn from 370 Greek companies using the questionnaire method. Confirmatory Factor Analysis was used to examine constructs' reliability and validity, while the relationships between them were examined through Structural Equation Modelling. Findings: The study proved that quality improvement and the consolidation of the company's market position are influenced mainly by adopting “soft” TQM elements and secondarily “hard” TQM elements. Research limitations/implications: The fact that the study was based on quality managers' perceptions and the participation of companies from all sectors creates limitations, but also future research orientations. Practical implications: To achieve benefits and obtain a competitive advantage, which is of major importance for the sustainability of a company, quality design, control and improvement tools are not enough and the adoption of a TQM culture is primarily required. Originality/value: The study describes in a reliable and valid way a model which consists of “soft” and “hard” TQM elements and quality management results.

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Metadata

Authors
Fotopoulos, C. B., & Psomas, E. L.
Venue
International Journal of Quality & Reliability Management
Publisher
Emerald
Published
2009-01-30
Volume
26
Issue
2
Pages
150-163
ISSN
0265-671X (ISSN-L)
OpenAlex
W2013347256
Cited by
404
References
0
FWCI
34.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The impact of “soft” and “hard” TQM elements on quality management results. https://app.cochat.ai/papers/10.1108/02656710910928798
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Fotopoulos, C. B., & Psomas, E. L. (2009). The impact of “soft” and “hard” TQM elements on quality management results. International Journal of Quality & Reliability Management. https://doi.org/10.1108/02656710910928798

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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.