TY - JOUR
T1 - Artificial Intelligence Technology, Organizational Learning Capability, and Corporate Innovation Performance
T2 - Evidence from Chinese Specialized, Refined, Unique, and Innovative Enterprises
AU - Han, Shumei
AU - Zhang, Di
AU - Zhang, Hongfeng
AU - Lin, Shuaijun
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/3
Y1 - 2025/3
N2 - In the context of global economic digital transformation and technological innovation, the application of AI Technology has a profound impact on corporate innovation and development. Existing research has primarily focused on the direct effect of AI Technology on Corporate Innovation Performance, while there is limited exploration of its interaction with organizational learning mechanisms. Based on the Dynamic Capabilities Theory, this study constructs a framework of “Technology—Individual Learning Capability—Team Learning Capability—Innovation Performance”, analyzing how AI Technology enhances learning capabilities to drive improvements in innovation performance and explores the moderating role of Organizational Learning Capability. Through empirical analysis of data from Specialized, Refined, Unique, and Innovative Enterprises in China, the study finds that AI Technology significantly enhances Corporate Innovation Performance, with Organizational Learning Capability playing a critical moderating role. Additionally, heterogeneity analysis indicates that factors such as production factors, industry characteristics, and firm size significantly influence the effectiveness of AI Technology in enhancing innovation performance. This research reveals the pathway through which AI Technology optimizes organizational learning mechanisms to improve innovation performance, offering both theoretical support and practical guidance for corporate strategic decision-making.
AB - In the context of global economic digital transformation and technological innovation, the application of AI Technology has a profound impact on corporate innovation and development. Existing research has primarily focused on the direct effect of AI Technology on Corporate Innovation Performance, while there is limited exploration of its interaction with organizational learning mechanisms. Based on the Dynamic Capabilities Theory, this study constructs a framework of “Technology—Individual Learning Capability—Team Learning Capability—Innovation Performance”, analyzing how AI Technology enhances learning capabilities to drive improvements in innovation performance and explores the moderating role of Organizational Learning Capability. Through empirical analysis of data from Specialized, Refined, Unique, and Innovative Enterprises in China, the study finds that AI Technology significantly enhances Corporate Innovation Performance, with Organizational Learning Capability playing a critical moderating role. Additionally, heterogeneity analysis indicates that factors such as production factors, industry characteristics, and firm size significantly influence the effectiveness of AI Technology in enhancing innovation performance. This research reveals the pathway through which AI Technology optimizes organizational learning mechanisms to improve innovation performance, offering both theoretical support and practical guidance for corporate strategic decision-making.
KW - artificial intelligence technology
KW - corporate innovation performance
KW - innovative enterprises
KW - organizational learning capability
KW - refined
KW - specialized
KW - unique
UR - http://www.scopus.com/inward/record.url?scp=105000931839&partnerID=8YFLogxK
U2 - 10.3390/su17062510
DO - 10.3390/su17062510
M3 - Article
AN - SCOPUS:105000931839
SN - 2071-1050
VL - 17
JO - Sustainability
JF - Sustainability
IS - 6
M1 - 2510
ER -