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- W1536698726 abstract "Although a relatively new discipline, Knowledge Management (KM) is an area with a wide range of theoretical concepts and practical implications. The applicability of KM in different environments, and the vast value and benefits of its application, have led to great developments within the discipline over the last few years. The interdisciplinary nature of KM has also provided the opportunity for contributions by people from different disciplines, which in turn has lead to the rapid advancement of KM boundaries. This paper aims to examine the subject structure of the KM discipline through keyword analysis of documents in the Web of Science, using a hierarchical clustering approach and an inclusion index. Within the Web of categories, according to the findings, the three categories of Management, Systems and Information Library Science claim the highest number of documents in this area. Of 5570 author keywords, 96 keywords are identified as keywords. Three hierarchical clusters (dendrograms) are formed from co-occurrence analysis of highly used keywords in the three categories. A comparison of these dendrograms indicates that six clusters, including a total of 16 keywords, are common in the three categories. Looking at clusters of the three categories revealed that two categories Management and Library have 14 common/shared clusters, and therefore the highest degree of similarities. However, the category of Computer Systems, with 28 unique clusters, Iranian Research Institute for and Technology ISSN 2251-8223" @default.
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- W1536698726 date "2015-09-15" @default.
- W1536698726 modified "2023-10-16" @default.
- W1536698726 title "A STUDY OF SUBJECT OVERLAP BETWEEN THE MAIN CATEGORIES OF KNOWLEDGE MANAGEMENT WITHIN THE WEB OF SCIENCE" @default.
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