人工智能对企业创新绩效的影响研究：现状、框架与展望

Research on the Impact of AI on Firm Innovation Performance: Current Situation, Framework and Prospects

摘要:

系统梳理并归纳人工智能（AI）对企业创新绩效的影响研究，旨在为企业数智化转型与创新的理论与实践提供参考依据。结合科学计量分析和系统文献综述法，对2018－2023年51篇英文文献和18篇中文文献进行分析，挖掘该领域的文献分布特征与主题演进脉络。研究发现：该领域研究正处于爆发式增长的起点，“AI因素—路径机制—绩效产出”三大核心主题形成均衡发展的态势；中英文文献呈现出鲜明的互补性，英文文献侧重于探讨AI从辅助工具向创新主体的角色演化及创新范式重构，展现出较强的理论前瞻性；中文文献则更倾向于将AI嵌入具体场景，通过大样本实证验证本土管理情境下的复杂因果路径。基于此，构建整合研究框架，并提出未来研究议题。

Abstract:

This study systematically reviews and synthesizes research on the impact of AI on firm innovation performance, aiming to provide theoretical and practical guidance for digital transformation and innovation management. Utilizing bibliometrics and systematic literature review method, this study quantitatively processes 51 English and 18 Chinese articles published between 2018 and 2023 to map the field’s publication trends and thematic evolution. The findings reveal that research in this field is at the beginning of explosive growth, and the three core themes of “AI factors-process paths-performance output” have formed a balanced development pattern. The Chinese and English literature exhibit distinct complementary characteristics. English literature focuses on exploring the evolution of AI from a “supportive tool” to an “innovative agent” and the restructuring of innovation paradigms, demonstrating strong theoretical foresight; Chinese literature, on the other hand, tends to embed AI into specific contexts, using large-sample empirical studies to verify complex causal pathways in local management settings. On this basis, this study constructs an integrated framework and proposes an agenda for future research.