Mapping the Landscape of Knowledge Management Research: 2020–2025
This bibliometric analysis explores the evolving landscape of knowledge management (KM) research from 2020 to 2025, aiming to identify key trends, influential contributions, and collaborative networks within the field. Despite the rapid growth and application of KM across various disciplines, a comprehensive understanding of its research trajectory in recent years remains limited. Addressing this gap, the study employed a systematic approach using Scopus Analyser for data extraction, OpenRefine for data cleaning and normalisation, and VOSviewer for visualising co-authorship, keyword co-occurrence, and citation networks. A total of 1,789 English-language journal articles published between 2020 and 2025 were analysed. The findings reveal a significant upward trend in KM publications, with a peak in 2024, indicating an increasing interest in both academic and practical aspects. China, the United States, and the United Kingdom emerged as the most prolific contributors, with notable collaborations from Malaysia, India, and several European and Middle Eastern countries. Keyword analysis highlighted dominant themes, including innovation, sustainability, digital transformation, organisational performance, and artificial intelligence, signalling the interdisciplinary and dynamic nature of KM research. Co-authorship patterns indicate a growing global research network, although disparities remain between high- and low-income countries. The results demonstrate how KM has become an integral element in enhancing decision-making, competitiveness, and adaptability in complex organisational environments. This study provides valuable insights for academics, policymakers, and practitioners by outlining the intellectual structure of KM research and identifying potential areas for future exploration and collaboration.
Authors
- Norhazren Izatie Mohd (ORCID: https://orcid.org/0000-0003-3003-8205)
- Zafira Nadia Maaz (ORCID: https://orcid.org/0000-0002-9482-753X)
- Muhamad Syafiq Kamalruzaman
Publication Details
- Journal
- International Journal of Research and Innovation in Social Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47772/ijriss.2025.90700098
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00