AI for Organizational Learning, Innovation and Research: A Bibliometric Perspective

AI is increasingly becoming a transformational technology for businesses and organizations. AI may be useful to a business organization for quite wide of areas, particularly regarding organizational learning, innovation, and research. This research perform a systematic literature review of AI in organizational learning, innovation, and research relating to past research, emerging trends, keywords, and research gaps available within the field. The basis for this study has been done through research using 116 articles from Scopus, dated between 2016 and 2024. The results of the study have indicated that AI is a basic technology that enhances processes to learn, innovate, and research. Therefore, there is more automation and personalization in employee training and effectiveness in data analysis for creating innovations. This indicated how much AI intervention contributes to changing the way an enterprise learns, innovates, or simply carries out research. Based on this study, areas concerned with the measurement gaps, the technical perspective, and the ethical point of view involve increased research. Results from this study contribute to a more specific understanding of what drives the evolution of AI in the processes of organizational learning, innovation, and research and, therefore, inform academics and practitioners how to integrate AI technologies into learning, innovation, and research programs.