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The Driving Mechanism of Artificial Intelligence Applications on Firm Ambidextrous Innovation: The Mediating Role of Organizational Learning and the Moderating Effect of Knowledge Integration Capability

In: Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)

Author

Listed:
  • Jingyi Wang

    (Tianjin University of Finance and Economics)

  • Hao Xue

    (Tianjin University of Finance and Economics)

  • Qinhe Yu

    (Tianjin University of Finance and Economics)

  • Minghan He

    (Tianjin University of Finance and Economics)

  • Heshi Zhang

    (Tianjin University of Finance and Economics)

Abstract

This study investigates how artificial intelligence (AI) applications drive firm ambidextrous innovation, focusing on the mediating role of organizational learning and the moderating effect of knowledge integration capability. Drawing on organizational learning theory and the knowledge-based view, we develop a moderated mediation model that conceptualizes AI as cognitive infrastructure reshaping organizational learning pathways. Based on two-phase survey data from 414 Chinese firms, we employ structural equation modeling to test our hypotheses. The results reveal that AI applications positively influence both exploitative innovation (β = 0.347, p

Suggested Citation

  • Jingyi Wang & Hao Xue & Qinhe Yu & Minghan He & Heshi Zhang, 2026. "The Driving Mechanism of Artificial Intelligence Applications on Firm Ambidextrous Innovation: The Mediating Role of Organizational Learning and the Moderating Effect of Knowledge Integration Capability," Advances in Economics, Business and Management Research, in: Joanna Rak & Md Rabiul Islam & Noralina Omar & Dragana Ostic (ed.), Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026), pages 593-604, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-701-9_61
    DOI: 10.2991/978-94-6239-701-9_61
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