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The QM evolution: Behavioral quality management as a firm’s strategic resource

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  • Cho, Young Sik
  • Jung, Joo Y.
  • Linderman, Kevin

Abstract

Firms implement various quality management (QM) practices to improve process quality. Scholars recognize that QM practices consist of both technical and behavioral oriented practices. The relationship of technical and behavioral oriented practices on performance has led to paradoxical relationships. Improving quality performance necessitates understanding the relationship between technical and behavioral orientated practices. This study empirically examines the relationship between technical and behavioral quality practices by collecting survey data from both US-based (N = 152) and China-based (N = 222) firms. The analysis uses the structural equation modeling technique, and shows that behavioral QM practices fully mediate the relationship between technical QM practices and firm performance. This implies that behavioral QM practices act as a strategic resource which helps generate a competitive advantage. The results contribute to understanding how quality management practices can lead to a competitive advantage.

Suggested Citation

  • Cho, Young Sik & Jung, Joo Y. & Linderman, Kevin, 2017. "The QM evolution: Behavioral quality management as a firm’s strategic resource," International Journal of Production Economics, Elsevier, vol. 191(C), pages 233-249.
    • Handle: RePEc:eee:proeco:v:191:y:2017:i:c:p:233-249
    DOI: 10.1016/j.ijpe.2017.05.002
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    References listed on IDEAS

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    Cited by:

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    4. Laith Walid Fatafta & Shaker Habis Nawafleh & Heba Eid Al Darwaish, 2019. "Reviewing the Mediating Role of Quality Management Capabilities on the Effect of Information Technology on Organizational Performance," Journal of Business & Management (COES&RJ-JBM), , vol. 7(3), pages 234-251, July.
    5. Liu, Junjun & Hu, Houbao & Tong, Xun & Zhu, Qinghua, 2020. "Behavioral and technical perspectives of green supply chain management practices: Empirical evidence from an emerging market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    6. Debmallya Chatterjee & Amol S. Dhaigude, 2020. "An Integrated Fuzzy Cognitive Map Approach in Modelling Factors of Management Quality in Banking Performance," Global Business Review, International Management Institute, vol. 21(3), pages 763-779, June.
    7. Cho, Young Sik & Linderman, Kevin, 2019. "Metacognition-based process improvement practices," International Journal of Production Economics, Elsevier, vol. 211(C), pages 132-144.
    8. de Moraes, Celso Francisco & Silva, Messias Borges, 2018. "Framework for conformity assessment based on an analogy with the Uncertainty Principle of Quantum Mechanics (FCAUP)," International Journal of Production Economics, Elsevier, vol. 203(C), pages 394-403.
    9. Ladinig, Thomas B. & Vastag, Gyula, 2021. "Mapping quality linkages based on tacit knowledge," International Journal of Production Economics, Elsevier, vol. 233(C).

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