Keywords
Innovation Performance
Organizational Learning Capability
Environmental Dynamism
Dynamic Capability Theory
How to Cite
Accepted 2025-01-16
Published 2025-03-17
Abstract
Based on dynamic capability theory, this study investigates the mechanism through which artificial intelligence (AI) adoption affects firm Using panel data from 634 Chinese listed manufacturing firms during 2018-2023, we find that: (1) AI adoption has a significant positive effect on firm innovation performance; (2) organizational learning capability partially mediates the relationship between AI adoption and firm innovation performance. positive effect on firm innovation performance; (2) organizational learning capability partially mediates the relationship between AI adoption and innovation performance; (3) environmental dynamism positively moderates the relationship between AI adoption and organizational learning capability, such that the positive effect of AI adoption and organizational learning capability is not only on firm innovation performance, but also on firm innovation performance. capability, such that the positive effect of AI adoption on organizational learning capability becomes stronger when environmental dynamism is higher. This study not only enriches the application of dynamic capability theory in the context of digital transformation but also provides important implications for firms to implement AI. This study not only enriches the application of dynamic capability theory in the context of digital transformation but also provides important implications for firms to implement AI strategy and enhance innovation capability.
References
Teece, D. J. (2023). "Dynamic capabilities and digital transformation: An integrative framework." Strategic Management Journal, 44(1), 89-117.
Li, X., et al. (2023). "Artificial Intelligence Adoption and Firm Innovation: Evidence from Chinese Manufacturing Firms." Research Policy, 52(5), 104711.
Zhang, W., et al. (2024). "The Role of Organizational Learning in AI-enabled Innovation." Journal of Management Studies, 61(2), 298-325.
Wang, Y., et al. (2023). "Environmental Dynamism and Technology Adoption: A Meta-analysis." Academy of Management Journal, 66(4), 1256-1289.
Liu, J., et al. (2023). "Dynamic Capabilities in the Digital Age: A Review and Future Research Agenda." Journal of Management, 49(5), 1289-1320.
Tang J, Cao Y D, Wei T, et al. The Impact of Artificial Intelligence on Economic Development: A Systematic Review: the impact of artificial intelligence on economic development[J]. intelligence on economic development[J]. International Theory and Practice in Humanities and Social Sciences, 2024, 1(1): 130-143.
Yuan C H, Wang X, Yan Z, et al. Beyond Sentiment Exploring the Dynamics of AIGC-Generated Sports Content and User Engagement on Xiaohongshu[J]. International Theory and Practice in Humanities and Social Sciences, 2024, 1(1): 162-177.
Liu, J., & Li, H. (2023). "Artificial intelligence capability and firm performance: the mediating role of organizational learning." Journal of Business Research, 158, 113654 .
Wang, Y., & Chen, L. (2023). "Environmental dynamism and technological innovation: a meta-analysis." Strategic Management Journal, 44(3), 642-671.
Teece, D. J. (2023). "Dynamic capabilities and digital transformation: a research agenda." Industrial and Corporate Change, 32(1), 11-31.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2025 KaiFei Li (Author); YuLe Cai, YuTing Pei, ChunHong Yuan (Co-Authors)