Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61774
Title: Where Did Knowledge Management Go?: A Comprehensive Survey
Contributor(s): de Castro, Rodrigo Oliveira (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author); Levula, Andrew (author)
Publication Date: 2021-07
Early Online Version: 2021-01-13
DOI: 10.1080/01969722.2020.1871223
Handle Link: https://hdl.handle.net/1959.11/61774
Abstract: 

Knowledge Management (KM) research outputs have been expanding exponentially in the past years, generating diversified topics, which lack integration and classification. It has been challenging for experts to classify KM because of its versatile open fields, and in our view, it contributes to the technocratic approach remaining behind the organizational approach. This paper highlights a way to classify KM publications through a pattern that will support technocratic developments representing knowledge in a more explicit form. This study uses a classification method that uses a template in a taxonomy shape, executing some procedures and allowing an accurate identification and organization of KM research outputs. The proposed taxonomy method is proven on a set of 150 different KM publications from the last 15 years. This scheme is grouped into two main categories: Conceptual and Empirical which could enable academics and practitioners alike to better understand the current gaps that are prevalent in KM.

Publication Type: Journal Article
Source of Publication: Cybernetics and Systems, 52(5), p. 461-476
Publisher: Taylor & Francis Inc
Place of Publication: United States of America
ISSN: 1087-6553
0196-9722
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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