{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T01:31:32Z","timestamp":1773883892959,"version":"3.50.1"},"reference-count":90,"publisher":"Emerald","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,26]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>This study bridges the gap in the literature regarding AIGC\u2019s 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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/jkm-12-2024-1423","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T08:07:15Z","timestamp":1749802035000},"page":"2724-2744","source":"Crossref","is-referenced-by-count":12,"title":["Inter-organizational knowledge sharing in the age of artificial intelligence: the mediating role of knowledge digitization and cross-language collaboration"],"prefix":"10.1108","volume":"29","author":[{"given":"Qiang","family":"Cheng","sequence":"first","affiliation":[{"name":"Southwest Petroleum University School of Economics and Management, , Chengdu,","place":["China."]}]},{"given":"Shuangyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Southwest Petroleum University School of Economics and Management, , 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