商业化
知识管理
业务
组织学习
实证研究
知识创造
知识共享
知识价值链
透视图(图形)
经验证据
技术管理
信息技术
知识整合
组织文化
知识体系
创新管理
考试(生物学)
个人知识管理
组织绩效
知识经济
知识获取
组织结构
机制(生物学)
开放式创新
知识工程
数据收集
作者
Xifeng Lu,Wang Shen,F F Li
标识
DOI:10.1108/jkm-12-2025-1774
摘要
Purpose With the unprecedented advancement of artificial intelligence (AI), its integration into corporate operations has become an irreversible trend. The purpose of this study, from the perspective of knowledge creation, is to explore the relationship between AI–human intelligence (AI–HI) collaboration and firms’ technology commercialization, aiming to identify the mechanisms through which AI–HI collaboration can enhance technology commercialization in the current AI-driven context. Design/methodology/approach Data was collected through a questionnaire survey. To mitigate the potential risk of common method bias, a two-wave data collection design was adopted. Hierarchical Linear Analysis was subsequently used to test the proposed research hypotheses. Findings Based on samples obtained from the two-wave survey, empirical analysis reveals that both AI–HI collaboration and knowledge creation exert a significant positive impact on technology commercialization. Importantly, knowledge creation plays a mediating role in the relationship between AI–HI collaboration and technology commercialization. Furthermore, managers’ AI-related knowledge background positively moderates the effect of AI–HI collaboration on knowledge creation. Originality/value First, grounded in socio-technical theory, this study clarifies the influence mechanism of AI–HI collaboration on firms’ technology commercialization, thereby deepening the academic understanding of effective strategies for promoting technology commercialization in the AI era. Second, drawing on knowledge management theory, this study elaborates on the indirect pathway through which AI–HI collaboration affects technology commercialization, with knowledge creation serving as the core mediating link. Finally, this study identifies two contextual factors – managers’ AI knowledge background and organizational digital culture – and examines their moderating effects on the relationship between AI–HI collaboration and knowledge creation.
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