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Digital Transformation, Optimization of Supply Chain Resilience and Total Factor Productivity in Manufacturing

In: Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)

Author

Listed:
  • Fang Wang

    (Wuhan University of Technology, Hubei Provincial research Center for S & T Innovation and Economic Development)

  • Yuanli Chen

    (Wuhan University of Technology)

Abstract

This paper uses the data of A-share listed manufacturing enterprises in Shanghai and Shenzhen stock markets from 2010 to 2020 to study the effect of digital transformation on the total factor productivity of enterprises. The results show that digital transformation improves the total factor productivity of enterprises. Moreover, digital transformation optimizes dynamic capabilities from the perspectives of supply chain proactive ability, supply chain reactive ability, and comprehensive supply chain design quality ability, and enhances the total factor productivity of the manufacturing industry through four aspects, namely alleviating financing constraints, reducing asset specificity, improving the level of specialized division of labor, and promoting innovation synergy. Digital transformation has a greater effect on the total factor productivity of state-owned enterprises, non-high-tech enterprises, labor-intensive enterprises. The research conclusions provide factual support and policy implications for promoting digital transformation to assist in the high-quality development of enterprises.

Suggested Citation

  • Fang Wang & Yuanli Chen, 2025. "Digital Transformation, Optimization of Supply Chain Resilience and Total Factor Productivity in Manufacturing," Advances in Economics, Business and Management Research, in: Huaping Sun & Hang Luo & Vilas Gaikar & Natālija Cudečka-Puriņa (ed.), Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025), pages 567-577, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-734-2_63
    DOI: 10.2991/978-94-6463-734-2_63
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