Inter-organizational knowledge sharing in the age of artificial intelligence: the mediating role of knowledge digitization and cross-language collaboration

Purpose The mode of inter-organizational knowledge sharing (IKS) in the age of artificial intelligence (AI) has undergone new changes, and AI technology provides new tools for improving the efficiency of inter-organizational knowledge sharing. This paper aims to investigate the impact of artificial intelligence generated content (AIGC) on inter-organizational knowledge sharing. Specifically, this paper seeks to uncover how AI technology can be leveraged to facilitate knowledge flow and innovation, and ultimately enhance the efficiency and competitiveness of inter-organizational collaborations. Design/methodology/approach The data comes from 323 members of digital groups with AI technology foundation and participating in inter-organizational cooperation or collaborative innovation activities across China. Using structural equation modeling, the chain-mediated relationship between AIGC, knowledge digitization (KD), cross-language collaboration (CLC) and inter-organizational knowledge sharing is examined. Findings The study findings indicate that AIGC has a significant positive impact on inter-organizational knowledge sharing, with knowledge digitization and cross-language collaboration playing a chain-mediated role. Originality/value This study bridges the gap in the literature regarding AIGC’s role in enhancing knowledge generation and flow among organizations. It introduces two mediating variables: knowledge digitization and cross-language collaboration. In addition, it develops a measurement scale for cross-language collaboration, addressing a quantitative research gap in this area.