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Abstract
Recent trends in knowledge management (KM) have increasingly indicated a lack of agreement, integration and classification between different KM domains. As such, experts are inadequately equipped when attempting to classify KM into their specific areas that could effectively contribute to a technocratic approach behind the organizational strategy. This paper illustrates a method of classifying KM publications by using a scheme that assists technocratic developments to explicitly expresses knowledge using a clearly defined approach. A classification method is applied using a taxonomy template to perform procedures and as a result offers an alternative approach for the classification and organization of KM publications. A series of 180 KM publications produced over the past 15 years was analyzed using the proposed taxonomy framework. The results highlighted that there were two key categories: Conceptual and Empirical which helps to explain the existing discrepancies found in KM. This enables the reuse and sharing of this new classification approach to provide guidance for academics and practitioners.
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Authors (4)
-
Rodrigo Oliveira de Castro
- Australian Institute ogf Higher Education, Australia
-
Cesar Sanin
- Australian Institute ogf Higher Education, Australia
-
Andrew Levula
- Australian Institute ogf Higher Education, Australia
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/IEEM50564.2021.9672957
- License
- Copyright (2021 IEEE)
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) strony 1599 - 1605
- Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- de Castro R. O., Sanin C., Levula A., Szczerbicki E.: A Comprehensive Investigation of Knowledge Management Publications// 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)/ : , 2022, s.1599-1605
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/ieem50564.2021.9672957
- Verified by:
- Gdańsk University of Technology
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