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How Digital Transformation Enhances Quality Chain Value Co-Creation Efficiency in Manufacturing: Evidence from Beijing

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  • Zhiqiang Zhang

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Man Chen

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

Abstract

Enhancing the efficiency of value co-creation among multiple stakeholders in manufacturing quality chains under digital transformation is an urgent management issue that needs to be addressed. Grounded in the resource-based view and dynamic capability perspective, this study employs a dynamic QCA method, using 81 manufacturing enterprises in Beijing from 2020 to 2023 as the research sample, to explore the configurational effects of resource–capability influencing factors on the overall efficiency of quality chain value co-creation, multi-value creation efficiency, and value conversion efficiency over time. The findings reveal that no single factor is necessary for achieving high overall efficiency or two-stage efficiency levels. However, the necessity of digital infrastructure development increases annually, demonstrating a temporal effect. Four distinct pathways drive high-quality chain value co-creation efficiency, which can be categorized as follows: (1) the resource utilization multi-capability driven model; (2) the multi-capability driven model; (3) the government support multi-capability driven model; and (4) the resource utilization capability driven model. The driving effect of multi-factor resource–capability combinations on enhancing value co-creation efficiency in certain medical manufacturing, chemical raw materials, and chemical product manufacturing sectors is limited.

Suggested Citation

  • Zhiqiang Zhang & Man Chen, 2025. "How Digital Transformation Enhances Quality Chain Value Co-Creation Efficiency in Manufacturing: Evidence from Beijing," Sustainability, MDPI, vol. 17(12), pages 1-30, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5486-:d:1678896
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