Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)

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Research on the Impact of Artificial Intelligence Development on the Innovation Efficiency of Enterprises

Authors
Jia Liu1, Jingyao Li1, Shuwei Wang2, *
1University of Business Studies, Qingdao University of Technology, Qingdao, Shandong, China
2Faculty of Economics and Management, Shandong University of Science and Technology, Qingdao, Shandong, China
*Corresponding author. Email: skd996371@sdust.edu.cn
Corresponding Author
Shuwei Wang
Available Online 26 June 2025.
DOI
10.2991/978-94-6463-770-0_9How to use a DOI?
Keywords
artificial intelligence; innovation efficiency; high quality development
Abstract

As a universal technology, artificial intelligence has a strong technology spillover effect, which can improve production efficiency, promote enterprise innovation and optimize factor allocation. Drawing upon the data pertaining to A-share listed companies in China from the period of 2017 to 2023, this research empirically examines the impact of artificial intelligence development on enterprise innovation efficiency by utilizing a double fixed-effects model. The results indicate that the progress of AI acts as a driving force in boosting enterprise innovation efficiency. Remarkably, this conclusion maintains its validity even after undergoing a comprehensive series of robustness checks and endogeneity tests. This study delves into the function of AI in enhancing enterprise innovation efficiency from a micro-level perspective, thereby enriching our comprehension and insight into AI at the enterprise level, and offering practical recommendations for enterprises to elevate their innovation efficiency.

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 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
26 June 2025
ISBN
978-94-6463-770-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-770-0_9How 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  - Jia Liu
AU  - Jingyao Li
AU  - Shuwei Wang
PY  - 2025
DA  - 2025/06/26
TI  - Research on the Impact of Artificial Intelligence Development on the Innovation Efficiency of Enterprises
BT  - Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)
PB  - Atlantis Press
SP  - 67
EP  - 75
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-770-0_9
DO  - 10.2991/978-94-6463-770-0_9
ID  - Liu2025
ER  -