The Impact of Knowledge Management Dynamic Capabilities and Knowledge Sharing on Firm Performance: The Mediating Role of GAI Technology Innovation and Moderating Effect of Human-AI Interaction

This study investigates the relationship between knowledge management dynamic capabilities (KMDC), knowledge-based sharing (KBS), and organizational performance in Chinese digital firms. Drawing on dynamic capabilities theory and knowledge-based view, the research proposes a comprehensive model examining how generative artificial intelligence (GAI) technology innovation mediates this relationship and how Human-AI interaction moderates these effects. Using a mixed-methods approach combining structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA), Thus, we analyze data from 276 firms in China's internet digital industry. Results reveal that both KMDC and KBS positively influence organizational performance, with GAI technology innovation serving as a significant mediator. Furthermore, Human-AI interaction positively moderates these relationships. The findings provide theoretical contributions to knowledge management literature and practical implications for digital firms seeking to enhance performance through knowledge management initiatives and emerging technologies.