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Cited by 396

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

An instrument for measuring TQM implementation for Chinese manufacturing companies

Zhang, Zhihai, Waszink, Ab, Wijngaard, Jacob·2000·International Journal of Quality & Reliability Management

Abstract

Abstract From an extensive review of the literature in the field of total quality management (TQM), 11 constructs of TQM implementation were identified. An instrument measuring these constructs was developed. The reliability and validity of the instrument were tested and validated using data from 212 Chinese manufacturing companies. Various methods were employed for this test and validation. Comparisons between this instrument and the three other quality management instruments were made. It was concluded finally that the instrument presented in this paper was reliable and valid. Researchers will be able to use this instrument for developing quality management theory. Industrial practitioners will be able to use this instrument to evaluate their TQM implementation so as to target improvement areas.

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Crossref · 10.1108/02656710010315247

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Metadata

Authors
Zhang, Z., Waszink, A., & Wijngaard, J.
Venue
International Journal of Quality & Reliability Management
Publisher
Emerald
Published
2000-10
Volume
17
Issue
7
Pages
730-755
ISSN
0265-671X (ISSN-L)
OpenAlex
W2090240996
Cited by
396
References
25
FWCI
6.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An instrument for measuring TQM implementation for Chinese manufacturing companies. https://app.cochat.ai/papers/10.1108/02656710010315247
The paper
Zhang, Z., Waszink, A., & Wijngaard, J. (2000). An instrument for measuring TQM implementation for Chinese manufacturing companies. International Journal of Quality & Reliability Management. https://doi.org/10.1108/02656710010315247

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.