HOW ORGANIZATIONAL FOUNDATIONS SHAPE CHINESE AI INNOVATION PERFORMANCE

dc.contributor.authorYu Zhao
dc.contributor.authorPaitoon Pimdee
dc.contributor.authorAukkapong Sukkamart
dc.date.accessioned2026-05-08T19:26:47Z
dc.date.issued2026-4-14
dc.description.abstractChinese AI firms do not just need to spend on technology. They also need to turn organizational resources into real innovation ability. We tested a model linking organizational learning (OL), knowledge management (KM), human capital (HC), and social capital (SC) to innovation capability (IC) and innovation performance (IP). Using survey data from 362 managers across China's three main AI clusters, we found that OL, KM, and HC boost IC — but SC does not. For IP, OL, HC, SC, and IC all help, while KM does not directly matter. The mediation story is nuanced: OL and HC work both directly and indirectly through IC; KM works only indirectly; SC works directly, bypassing IC entirely. Our findings suggest that in China's AI industry, innovation capability is a selective bridge, not a universal one.
dc.identifier.doi10.18623/rvd.v23.5758
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/20798
dc.publisherVeredas do Direito Direito Ambiental e Desenvolvimento Sustentável
dc.subjectInnovation and Knowledge Management
dc.subjectIntellectual Capital and Performance Analysis
dc.subjectKnowledge Management and Sharing
dc.titleHOW ORGANIZATIONAL FOUNDATIONS SHAPE CHINESE AI INNOVATION PERFORMANCE
dc.typeArticle

Files

Collections