Science mapping of intellectual structure of knowledge management using keyword network analysis

Authors: Salma M S, Dr. Prakasan P M

DOI: 10.18231/j.ijlsit.11604.1761800159

Keywords: Bradford’s Law, Bibliometrics Study, Biblioshiny R Software, Knowledge Management (KM), Keyword Network Analysis, TreeMap, Thematic Mapping Network, Word Frequency, Word Cloud.

Abstract: Knowledge Management (KM) practices are crucial for organizational success. This study uses science mapping and keyword analysis of the intellectual structure to visualize the concept of co-occurrence of keywords, co-citations, thematic mapping, and author and national collaboration networks. This paper identified 5 distinct clusters, each focusing on specific themes like Knowledge Management, Management, innovations, and performance. This paper tries to analyze keyword term frequency over time, revealing an increase in research domains from 2010 to 2023, with most appearing recently. Co-occurrence network analysis shows that clusters such as Knowledge Management, performance, innovation, impact, model, and Management are close and are consistent with the macro-level analysis of the co-occurrence network table categories. Thematic Mapping Network, TreeMap, and Word Cloud visualization identified prominent themes related to areas of Knowledge Management. The study tries to reveal the current focus areas in Knowledge Management and to improve knowledge mapping of the intellectual structure visualization patterns.