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Cited 23 time in webofscience Cited 33 time in scopus
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dc.contributor.authorSung-jin Kim-
dc.contributor.authorJong-yi Hong-
dc.contributor.authorSuh, EH-
dc.date.accessioned2016-03-31T08:36:21Z-
dc.date.available2016-03-31T08:36:21Z-
dc.date.created2013-03-29-
dc.date.issued2012-12-15-
dc.identifier.issn0957-4174-
dc.identifier.other2012-OAK-0000027342-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/15640-
dc.description.abstractThe concept of Communities of Practice (CoPs) has been highlighted as an effective method for knowledge sharing in Knowledge Management (KM) and strategically utilized by many organizations. Therefore, the need to diagnose knowledge sharing activities in CoPs has increased. Previous research on CoP strategies has generally suggested broad guidelines without diagnosing the current knowledge sharing status of individual CoPs. Furthermore, diagnosis methodologies are not connected to strategic direction and require too much time and effort to conduct regularly. The purpose of this paper is to develop a sustainable diagnosis framework for identifying knowledge sharing activities in CoPs using Social Network Analysis (SNA) and to suggest strategies for individual CoPs based on the proposed diagnosis framework. Finally, we apply the proposed diagnosis framework to an industry case. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfExpert Systems with Applications-
dc.subjectDiagnosis framework-
dc.subjectKnowledge sharing-
dc.subjectSocial Network Analysis-
dc.subjectSNA-
dc.subjectCoP-
dc.subjectSOCIAL NETWORK ANALYSIS-
dc.subjectMULTINATIONAL-CORPORATIONS-
dc.subjectPERFORMANCE-
dc.subjectPATTERNS-
dc.subjectDIVERSIFICATION-
dc.subjectCREATION-
dc.subjectSTRATEGY-
dc.titleA Diagnosis Framework for Identifying the Current Knowledge Sharing Activity Status in a Community of Practice-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1016/J.ESWA.2012.05.092-
dc.author.googleKim, SJ-
dc.author.googleHong, JY-
dc.author.googleSuh, EH-
dc.relation.volume39-
dc.relation.issue18-
dc.relation.startpage13093-
dc.relation.lastpage13107-
dc.contributor.id10070937-
dc.relation.journalExpert Systems with Applications-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationExpert Systems with Applications, v.39, no.18, pp.13093 - 13107-
dc.identifier.wosid000308684400003-
dc.date.tcdate2019-01-01-
dc.citation.endPage13107-
dc.citation.number18-
dc.citation.startPage13093-
dc.citation.titleExpert Systems with Applications-
dc.citation.volume39-
dc.contributor.affiliatedAuthorSuh, EH-
dc.identifier.scopusid2-s2.0-84865274553-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc16-
dc.description.scptc18*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthorDiagnosis framework-
dc.subject.keywordAuthorKnowledge sharing-
dc.subject.keywordAuthorSocial Network Analysis-
dc.subject.keywordAuthorSNA-
dc.subject.keywordAuthorCoP-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-

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서의호SUH, EUI HO
Dept of Industrial & Management Enginrg
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