How does artificial intelligence empower enterprise technological innovation: from the perspective of knowledge management capability

作者：Bin Li, L. Wang, Shuaishuai Fu, Jiayu Wan · 发表于：Journal of Knowledge Management · 年份：2025 · DOI：10.1108/jkm-03-2025-0345 · 被引用次数：13 · 研究领域：Digital Transformation in Industry、AI in Service Interactions、Innovation and Knowledge Management

Purpose This paper aims to construct a systematic theoretical analysis framework from the perspective of knowledge management capabilities, and to explore the empowering effect and the underlying theoretical mechanisms of artificial intelligence (AI) technology application on enterprise technological innovation, thereby providing theoretical references and empirical evidence for policymaking and management practices. Design/methodology/approach This paper selects the operation data and technical invention patent data of Chinese listed companies from 2012 to 2023 to deeply explore the empowering effect of AI on enterprise technological innovation. This paper uses a fixed-effects model to perform regression analysis on the samples, and conducts systematic robustness tests, heterogeneity analysis and extensibility analysis. Findings This study finds that the application of AI technology can systematically enhance enterprises’ knowledge management capabilities (including knowledge acquisition, integration, application and transformation), thereby empowering technological innovation. This conclusion remains robust after a series of robustness checks. Moreover, compared with logical AI technologies, learning AI technologies exhibit a more pronounced empowering effect on enterprise’s technological innovation. The heterogeneity analysis reveals that the empowering effect of AI technology on technological innovation is stronger in enterprises with low financing constraints, high human...