Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61774
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dc.contributor.authorde Castro, Rodrigo Oliveiraen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.contributor.authorLevula, Andrewen
dc.date.accessioned2024-07-23T07:12:20Z-
dc.date.available2024-07-23T07:12:20Z-
dc.date.issued2021-07-
dc.identifier.citationCybernetics and Systems, 52(5), p. 461-476en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61774-
dc.description.abstract<p>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.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleWhere Did Knowledge Management Go?: A Comprehensive Surveyen
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2020.1871223en
local.contributor.firstnameRodrigo Oliveiraen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.contributor.firstnameAndrewen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage461en
local.format.endpage476en
local.peerreviewedYesen
local.identifier.volume52en
local.identifier.issue5en
local.title.subtitleA Comprehensive Surveyen
local.contributor.lastnamede Castroen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
local.contributor.lastnameLevulaen
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61774en
local.date.onlineversion2021-01-13-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleWhere Did Knowledge Management Go?en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorde Castro, Rodrigo Oliveiraen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.search.authorLevula, Andrewen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2021en
local.year.published2021en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/6c5f271f-1008-4d81-9379-539bc5ecd54een
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-26en
Appears in Collections:Journal Article
School of Science and Technology
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