Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)

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Digital Transformation of Manufacturing Enterprises, Dual Network Embedding, and Innovation Efficiency

Authors
Yue Wu1, *, Li Wei1, *
1School of Economics and Management, Lanzhou University of Technology, Lanzhou, Gansu, China
*Corresponding author. Email: 328573777@qq.com
*Corresponding author. Email: vivian_0416@126.com
Corresponding Authors
Yue Wu, Li Wei
Available Online 30 December 2024.
DOI
10.2991/978-94-6463-638-3_56How to use a DOI?
Keywords
Digital transformation; Dual network embedding; Innovation efficiency
Abstract

How digital transformation allocates resources in manufacturing enterprises and ensures the enhancement of innovation efficiency has become an important issue in this cutting-edge research topic. Using unbalanced panel data from A-share listed manufacturing enterprises in China from 2013 to 2021, this paper introduces dual network embedding as a mediating variable to construct a theoretical model that clarifies the impact mechanism between digital transformation of manufacturing enterprises and innovation efficiency. The results indicate that digital transformation in manufacturing enterprises significantly enhances innovation efficiency, and dual network embedding plays a mediating role between digital transformation and innovation efficiency. Ultimately, this paper provides feasible suggestions for manufacturing enterprises to strengthen dual network embedding through digital transformation with a focus on innovation efficiency.

Copyright
© 2024 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 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
30 December 2024
ISBN
978-94-6463-638-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-638-3_56How to use a DOI?
Copyright
© 2024 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  - Yue Wu
AU  - Li Wei
PY  - 2024
DA  - 2024/12/30
TI  - Digital Transformation of Manufacturing Enterprises, Dual Network Embedding, and Innovation Efficiency
BT  - Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)
PB  - Atlantis Press
SP  - 566
EP  - 573
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-638-3_56
DO  - 10.2991/978-94-6463-638-3_56
ID  - Wu2024
ER  -