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Where Did Knowledge Management Go? A Comprehensive Survey

  • Rodrigo Oliveira de Castro
  • , Cesar Sanin
  • , Edward Szczerbicki
  • , Andrew Levula

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)461-476
JournalCybernetics and Systems
Volume52
Issue number5
Early online date13 Jan 2021
DOIs
Publication statusPublished - 31 Jul 2021

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