Artificial Intelligence and Enterprise Technological Innovation: Evidence From China

ABSTRACT This paper investigates the impact of artificial intelligence (AI) on the technological innovation (TI) of enterprises and explores its mechanisms of action based on data from Chinese enterprises. This study finds that AI significantly promotes enterprise TI. The reliability of these conclusions is validated through instrumental variable regression and robustness tests. Key mechanisms through which AI enhances enterprise innovation include total factor productivity (TFP) improvement, human capital structure optimization, and digital transformation. The level of internal R&D focus within enterprises plays a positive moderating role in the incentive effects of AI on TI. AI can not only enhance the quantity of technological innovation but also promote the diffusion of technology. Enterprises in the service industry exhibit stronger effects. Therefore, it is recommended that governments increase support for AI technologies, promote the integration of traditional industries, and improve talent training mechanisms. This would allow AI to play a more positive role in fostering enterprise TI and driving high‐quality economic development.

Authors

Institutions

Publication Details

Journal
Managerial and Decision Economics
Published
2025-06-24
DOI
https://doi.org/10.1002/mde.70002
Citations
1
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Enterprise Technological Innovation: Evidence From China

Haoyu Zhou, Yao‐Chien Alex Chang, Yang Zhang, Xiaolei Zhang
1 citations
Managerial and Decision Economics
Innovation Policy and R&D
3.13
article

Artificial Intelligence and Enterprise Technological Innovation: Evidence From China

Haoyu Zhou, Yao‐Chien Alex Chang, Yang Zhang, Xiaolei Zhang
article en
1 citations

Abstract

ABSTRACT This paper investigates the impact of artificial intelligence (AI) on the technological innovation (TI) of enterprises and explores its mechanisms of action based on data from Chinese enterprises. This study finds that AI significantly promotes enterprise TI. The reliability of these conclusions is validated through instrumental variable regression and robustness tests. Key mechanisms through which AI enhances enterprise innovation include total factor productivity (TFP) improvement, human capital structure optimization, and digital transformation. The level of internal R&D focus within enterprises plays a positive moderating role in the incentive effects of AI on TI. AI can not only enhance the quantity of technological innovation but also promote the diffusion of technology. Enterprises in the service industry exhibit stronger effects. Therefore, it is recommended that governments increase support for AI technologies, promote the integration of traditional industries, and improve talent training mechanisms. This would allow AI to play a more positive role in fostering enterprise TI and driving high‐quality economic development.

Managerial and Decision EconomicsVol. 46(7)
Nanjing University of Finance and Economics (CN), Guizhou University (CN), Bureau of Geology and Mineral Exploration and Development of Guizhou Province (CN)
Openalex Percentile: Top 8%
Innovation Policy and R&D
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.