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

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

Authors
Fang Wang1, Yuanli Chen2, *
1Wuhan University of Technology, Hubei Provincial research Center for S & T Innovation and Economic Development, Wuhan, 430070, China
2Wuhan University of Technology, Wuhan, 430070, China
*Corresponding author. Email: yuanlc06@126.com
Corresponding Author
Yuanli Chen
Available Online 27 May 2025.
DOI
10.2991/978-94-6463-734-2_63How to use a DOI?
Keywords
Digital Transformation; Manufacturing Industry; Total Factor Productivity of Enterprises
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
27 May 2025
ISBN
978-94-6463-734-2
ISSN
2352-5428
DOI
10.2991/978-94-6463-734-2_63How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Fang Wang
AU  - Yuanli Chen
PY  - 2025
DA  - 2025/05/27
TI  - Digital Transformation, Optimization of Supply Chain Resilience and Total Factor Productivity in Manufacturing
BT  - Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)
PB  - Atlantis Press
SP  - 567
EP  - 577
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-734-2_63
DO  - 10.2991/978-94-6463-734-2_63
ID  - Wang2025
ER  -