Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61755
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dc.contributor.authorde Castro, Rodrigo Oliveiraen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorLevula, Andrewen
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-23T00:21:05Z-
dc.date.available2024-07-23T00:21:05Z-
dc.date.issued2021-
dc.identifier.citationProceedings of the International Conference on Industrial Engineering and Engineering Management, p. 1599-1605en
dc.identifier.urihttps://hdl.handle.net/1959.11/61755-
dc.description.abstract<p>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.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofProceedings of the International Conference on Industrial Engineering and Engineering Managementen
dc.titleA Comprehensive Investigation of Knowledge Management Publicationsen
dc.typeConference Publicationen
dc.relation.conferenceIEEM 2021: IEEE International Conference on Industrial Engineering and Engineering Managementen
dc.identifier.doi10.1109/IEEM50564.2021.9672957en
local.contributor.firstnameRodrigo Oliveiraen
local.contributor.firstnameCesaren
local.contributor.firstnameAndrewen
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference13th to 16th of December, 2021en
local.conference.placeSingaporeen
local.publisher.placeUnited States of Americaen
local.format.startpage1599en
local.format.endpage1605en
local.peerreviewedYesen
local.contributor.lastnamede Castroen
local.contributor.lastnameSaninen
local.contributor.lastnameLevulaen
local.contributor.lastnameSzczerbickien
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:1959.11/61755en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Comprehensive Investigation of Knowledge Management Publicationsen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsIEEM 2021: IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 13th to 16th of December, 2021en
local.search.authorde Castro, Rodrigo Oliveiraen
local.search.authorSanin, Cesaren
local.search.authorLevula, Andrewen
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-09en
Appears in Collections:Conference Publication
School of Science and Technology
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