From Digitalization to Knowledge Innovation: Integrated Model of AI Knowledge Agility and Organizational Learning Culture

The purpose of this study was to develop and validate an integrated model explaining how AI-enabled knowledge integration and digital ecosystem connectivity influence knowledge innovation capability through the mediating role of knowledge agility and the moderating roles of digital trust and organizational learning culture. Grounded in the Knowledge-Based View (KBV) and Dynamic Capability Theory (DCT), this research seeks to understand how technological and cultural enablers jointly drive exploratory, exploitative, and adaptive innovation. A quantitative cross-sectional research design was employed, and data were collected from 243 professionals working in knowledge-intensive organizations. Measurement scales were adapted from previous studies, and data analysis was conducted through structural equation modeling, using SmartPLS 4. Reliability, validity, and path analyses were performed to test the hypothesized relationships among constructs. The results indicated that AI-enabled knowledge integration and digital ecosystem connectivity significantly enhance knowledge agility, which in turn positively affects knowledge innovation capability. The mediation tests confirmed the role of knowledge agility, while digital trust and organizational learning culture were confirmed to strengthen the relationship between knowledge agility and innovation capability. This study contributes to theory by integrating technological, organizational, and cultural perspectives into a unified model of digital innovation. Practically, it guides organizations in leveraging AI systems, digital connectivity, and learning culture to foster sustainable innovation.