Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies

Authors
Xuan Zhang1, *
1School of Marxism, Guangdong University of Technology, Guangzhou, Guangdong, China
*Corresponding author. Email: zhangxuan-400@foxmail.com
Corresponding Author
Xuan Zhang
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_5How to use a DOI?
Keywords
Digital Information Technology; Digital Transformation; Productivity; Laborers; Capital Intensity; Innovation
Abstract

This paper examines the impact of digital transformation on labor productivity as firms drive digital transformation through the adoption of digital information technologies such as artificial intelligence, cloud computing, and big data, as well as the intermediate mechanisms and heterogeneity of this relationship. The results show that digital transformation improves firms’ labor productivity, and confirming that increased capital intensity and innovation investment are intermediate mechanisms for achieving this relationship, but that regional differences in development significantly weaken the positive impact of digital transformation on labor productivity. The results also show that the internal skill structure of employees and the external human capital environment have a significant impact on labor productivity when firms are actively engaged in digital transformation. We provide effective strategies for digital transformation and performance improvement of firms from a labor productivity perspective.

Copyright
© 2023 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 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
10.2991/978-94-6463-222-4_5
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_5How to use a DOI?
Copyright
© 2023 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  - Xuan Zhang
PY  - 2023
DA  - 2023/08/28
TI  - How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 50
EP  - 61
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_5
DO  - 10.2991/978-94-6463-222-4_5
ID  - Zhang2023
ER  -