The process of knowledge management encompasses knowledge creation, knowledge assessment, knowledge presentation, knowledge sharing, and knowledge application. With the advent of information technology and artificial intelligence (AI) in the 21st century, knowledge management has grown increasingly advanced and intricate. This research examines the current state and landscape of scientific output in AI within knowledge management, offering insights for future developmental and innovative research. The study population comprises scientific articles published in the Web of Science (WoS) database.
Moreover, the Vos Viewer software has been employed for the bibliometric analysis of these articles. The study's findings reveal that the United States has exhibited the highest scientific productivity and international collaboration in this domain. An analysis of frequently employed keywords by authors indicates that concepts such as management, decision-making, systems, big data, innovation, performance, modeling, quality, expertise systems, networks, and machine learning are intricately linked with AI and knowledge management. This suggests a substantial potential for addressing these topics in-depth. Furthermore, this article furnishes recommendations for future research endeavors. By offering a comprehensive assessment of research on AI in knowledge management through bibliometric analysis and visualization of interconnections, this paper assists authors in their appraisal of this burgeoning field.
