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dc.contributor.authorWu, Ji-Weien_US
dc.contributor.authorTseng, Judy C. R.en_US
dc.contributor.authorYu, Wen-Deren_US
dc.contributor.authorYang, Jyh-Binen_US
dc.contributor.authorLee, Shun-Minen_US
dc.contributor.authorTsai, Wen-Nungen_US
dc.date.accessioned2014-12-08T15:23:06Z-
dc.date.available2014-12-08T15:23:06Z-
dc.date.issued2012-07-01en_US
dc.identifier.issn0926-5805en_US
dc.identifier.urihttp://hdl.handle.net/11536/16255-
dc.description.abstractMore and more construction organizations have adopted Knowledge Management (KM) to enhance their engineering services. However, most of the traditional KM methods suffer from their "reactive mode" of problem solving. To cope with this problem, a newly developed model, the Integrated Proactive Knowledge Management Model (IPKMM), is proposed in this paper. A leading engineering consulting firm in Taiwan was selected as a case study to implement the proposed model. The system implementation of IPKMM, the Integrated Proactive Knowledge Management System (IPKMS), is verified with real world cases. A novel Business Intelligence Index (BII) is also proposed in this paper to evaluate the relative competitiveness of different KM models. It is confirmed from the case study that IPKMM can significantly improve the efficiency of problem-solving and the competitiveness of an engineering consulting firm in the service market. This study demonstrates that IPKMM has great potential in enhancing emergent problem-solving for engineering consultants. (C) 2012 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectEngineering consultingen_US
dc.subjectKnowledge managementen_US
dc.subjectProactive problem-solvingen_US
dc.subjectBusiness intelligenceen_US
dc.titleAn integrated proactive knowledge management model for enhancing engineering servicesen_US
dc.typeArticleen_US
dc.identifier.journalAUTOMATION IN CONSTRUCTIONen_US
dc.citation.volume24en_US
dc.citation.issueen_US
dc.citation.epage81en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000304494800009-
dc.citation.woscount2-
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