Artificial Intelligence Adoption, Innovation Efficiency, and Governance Mechanisms: Evidence from China

The rapid development of artificial intelligence (AI) is reshaping innovation models and enterprises’ competitive advantages. However, existing research has not systematically examined whether AI adoption enhances enterprise innovation or identified its influencing factors. Using panel data from Chinese A-share listed companies between 2012 and 2023, this study constructed an index measuring the extent of AI adoption based on annual report texts and analyzed its impact on enterprise innovation efficiency and underlying mechanisms. The results indicate that AI adoption significantly improves innovation efficiency. Further analysis shows that institutional ownership, executives’ digital background (EDB), and media attention positively moderate this effect. This study provides new evidence for the governance boundaries of AI-driven innovation, enriches enterprise innovation theory in the context of digital transformation, and offers managerial insights for enterprises seeking to realize the value of digital technologies.

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Publication Details

Journal
Systems
Published
2025-11-24
DOI
https://doi.org/10.3390/systems13121062
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24

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article

Artificial Intelligence Adoption, Innovation Efficiency, and Governance Mechanisms: Evidence from China

Shanyue Jin, Feng Xue
1 citations
Systems
Digital Transformation in Industry
1.24
article

Artificial Intelligence Adoption, Innovation Efficiency, and Governance Mechanisms: Evidence from China

Shanyue Jin, Feng Xue
article en
1 citations

Abstract

The rapid development of artificial intelligence (AI) is reshaping innovation models and enterprises’ competitive advantages. However, existing research has not systematically examined whether AI adoption enhances enterprise innovation or identified its influencing factors. Using panel data from Chinese A-share listed companies between 2012 and 2023, this study constructed an index measuring the extent of AI adoption based on annual report texts and analyzed its impact on enterprise innovation efficiency and underlying mechanisms. The results indicate that AI adoption significantly improves innovation efficiency. Further analysis shows that institutional ownership, executives’ digital background (EDB), and media attention positively moderate this effect. This study provides new evidence for the governance boundaries of AI-driven innovation, enriches enterprise innovation theory in the context of digital transformation, and offers managerial insights for enterprises seeking to realize the value of digital technologies.

SystemsVol. 13(12)
Gachon University (KR)
Gachon University
Openalex Percentile: Top 14%
Digital Transformation in Industry
1.24
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