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https://hdl.handle.net/1959.11/61755
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DC Field | Value | Language |
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dc.contributor.author | de Castro, Rodrigo Oliveira | en |
dc.contributor.author | Sanin, Cesar | en |
dc.contributor.author | Levula, Andrew | en |
dc.contributor.author | Szczerbicki, Edward | en |
dc.date.accessioned | 2024-07-23T00:21:05Z | - |
dc.date.available | 2024-07-23T00:21:05Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Proceedings of the International Conference on Industrial Engineering and Engineering Management, p. 1599-1605 | en |
dc.identifier.uri | https://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.language | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers | en |
dc.relation.ispartof | Proceedings of the International Conference on Industrial Engineering and Engineering Management | en |
dc.title | A Comprehensive Investigation of Knowledge Management Publications | en |
dc.type | Conference Publication | en |
dc.relation.conference | IEEM 2021: IEEE International Conference on Industrial Engineering and Engineering Management | en |
dc.identifier.doi | 10.1109/IEEM50564.2021.9672957 | en |
local.contributor.firstname | Rodrigo Oliveira | en |
local.contributor.firstname | Cesar | en |
local.contributor.firstname | Andrew | en |
local.contributor.firstname | Edward | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | cmaldon3@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 13th to 16th of December, 2021 | en |
local.conference.place | Singapore | en |
local.publisher.place | United States of America | en |
local.format.startpage | 1599 | en |
local.format.endpage | 1605 | en |
local.peerreviewed | Yes | en |
local.contributor.lastname | de Castro | en |
local.contributor.lastname | Sanin | en |
local.contributor.lastname | Levula | en |
local.contributor.lastname | Szczerbicki | en |
dc.identifier.staff | une-id:cmaldon3 | en |
local.profile.orcid | 0000-0001-8515-417X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61755 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | A Comprehensive Investigation of Knowledge Management Publications | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.conference.details | IEEM 2021: IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 13th to 16th of December, 2021 | en |
local.search.author | de Castro, Rodrigo Oliveira | en |
local.search.author | Sanin, Cesar | en |
local.search.author | Levula, Andrew | en |
local.search.author | Szczerbicki, Edward | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2021 | en |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-08-09 | en |
Appears in Collections: | Conference Publication School of Science and Technology |
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