Analyzing the Evolution of Personal Knowledge Management and its Integration With Artificial Intelligence Technology: A Bibliometric Analysis
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Abstract
This research aims to present the knowledge structure, directions, and trends of research in personal knowledge management (PKM) and its integration with artificial intelligence (AI). The study employed bibliometric analysis of journal articles, proceedings, book chapters, and books on PKM and AI integration published in the Scopus database between 1988 and February 2024. Keyword analysis and co-word analysis were utilized to interpret the data. The findings reveal three main concepts: knowledge management, artificial intelligence, and the science and technologies involved in integrating PKM and AI. The knowledge structure of PKM and AI research is divided into five clusters: knowledge worker development, knowledge sharing, artificial intelligence, knowledge management systems, and information management. The research also identifies AI as a promising area for supporting PKM, particularly in knowledge acquisition, sharing and transfer.
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