Research on the impact of generative artificial intelligence (GenAI) on enterprise innovation performance: a knowledge management perspective

Purpose This study aims to investigate the impact of generative artificial intelligence (GenAI) on enterprise innovation performance, particularly from the perspective of knowledge management. It addresses key challenges in GenAI adoption – such as data biases, information overload and technological dependence – and proposes strategies to overcome these obstacles to enhance innovation. Design/methodology/approach Adopting a theoretical approach, this research analyzes the role of knowledge management in bridging the gap between GenAI and enterprise innovation. A structured framework based on four essential knowledge management processes – knowledge creation, retrieval and storage, transfer and sharing and…