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dc.contributor.authorKanapeckienė, Loreta
dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorSeniut, Mark
dc.date.accessioned2023-09-18T17:53:12Z
dc.date.available2023-09-18T17:53:12Z
dc.date.issued2010
dc.identifier.issn0952-1976
dc.identifier.other(BIS)VGT02-000021540
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/126945
dc.description.abstractIn the past there has been no structured approach to learning from construction projects once they are completed. Now, however, the construction industry is adapting concepts of tacit and explicit knowledge management to improve the situation. Top managers generally assume that professionals in enterprises already possess tacit knowledge and experience for specific types of projects. Such knowledge is extremely important to organisations because, once a project is completed, professionals tend to forget it and start something new. Therefore, knowledge multifold utilisation is a key factor in productively executing a construction project. This paper discusses the benefits of knowledge management to construction industry organisations and projects and emphasises the significance of tacit knowledge. The main purpose of this paper is to present the integrated knowledge management model for the construction industry as well as system architecture and system of the Knowledge Based Decision Support System for Construction Projects Management (KDSS-CPM) which the authors of this paper have developed. Different knowledge management models that are presented in scientific literature are discussed and compared, and the proposed new, KDSS-CPM model, as developed by this paper's authors, is introduced.eng
dc.formatPDF
dc.format.extentp. 1200-1215
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScienceDirect
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttp://www.sciencedirect.com/science/article/pii/S0952197610000710
dc.titleIntegrated knowledge management model and system for construction projects
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references54
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.facultyVilniaus Gedimino technikos universitetas / Vilniaus Gedimino technikos universitetas
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.enKnowledge management
dc.subject.enTacit and explicit knowledge
dc.subject.enConstruction projects management
dc.subject.enMultiple criteria and multivariant analysis
dc.subject.enCOPRAS method
dcterms.sourcetitleEngineering applications of artificial intelligence
dc.description.issueiss. 7
dc.description.volumeVol. 23
dc.publisher.cityElsevier
dc.identifier.doi10.1016/j.engappai.2010.01.030
dc.identifier.elaba3916950


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