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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 thatuses a template in a taxonomy shape, executing some procedures and allowingan accurate identification and organizationof 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.
Citations
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5
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Authors (4)
-
Rodrigo Oliveira de Castro
- Australian Institute, Australia
-
Cesar Sanin
- Australian Institute, Australia
-
Andrew Levula
- Australian Institute, Australia
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2021 Informa UK Limited)
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
CYBERNETICS AND SYSTEMS
no. 52,
pages 461 - 476,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- de Castro R. O., Sanin C., Szczerbicki E., Levula A.: Where Did Knowledge Management Go?: A Comprehensive Survey// CYBERNETICS AND SYSTEMS -Vol. 52,iss. 5 (2021), s.461-476
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2020.1871223
- Verified by:
- Gdańsk University of Technology
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