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Article: Developing a decision support system for building project procurement

TitleDeveloping a decision support system for building project procurement
Authors
Issue Date2001
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenv
Citation
Building And Environment, 2001, v. 36 n. 3, p. 337-349 How to Cite?
AbstractThe growing need for improved construction procurement and managerial systems, point to the usefulness of a knowledge-based advisory system to help optimise such decisions, amidst the multiplicity of project variables. This new system would harness lessons learnt from past and present research and practice. A Hong Kong based study on a sample of different building projects and professionals, has yielded 'knowledge' that has been analysed and structured into pilot/sample core modules of a proposed knowledge-based decision support system. Results from statistical analysis of the data and an Artificial Neural Network model confirmed the value of the proposed system. An extended study to gather more data/knowledge is recommended to further develop the proposed system, using the methodology presented in this paper. © 2000 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/71535
ISSN
2015 Impact Factor: 3.394
2015 SCImago Journal Rankings: 2.121
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKumaraswamy, MMen_HK
dc.contributor.authorDissanayaka, SMen_HK
dc.date.accessioned2010-09-06T06:32:52Z-
dc.date.available2010-09-06T06:32:52Z-
dc.date.issued2001en_HK
dc.identifier.citationBuilding And Environment, 2001, v. 36 n. 3, p. 337-349en_HK
dc.identifier.issn0360-1323en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71535-
dc.description.abstractThe growing need for improved construction procurement and managerial systems, point to the usefulness of a knowledge-based advisory system to help optimise such decisions, amidst the multiplicity of project variables. This new system would harness lessons learnt from past and present research and practice. A Hong Kong based study on a sample of different building projects and professionals, has yielded 'knowledge' that has been analysed and structured into pilot/sample core modules of a proposed knowledge-based decision support system. Results from statistical analysis of the data and an Artificial Neural Network model confirmed the value of the proposed system. An extended study to gather more data/knowledge is recommended to further develop the proposed system, using the methodology presented in this paper. © 2000 Elsevier Science Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenven_HK
dc.relation.ispartofBuilding and Environmenten_HK
dc.titleDeveloping a decision support system for building project procurementen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0360-1323&volume=36 &issue=3&spage=337 &epage= 349&date=2001&atitle=Developing+a+Decision+Support+System+for+Building+Project+Procurementen_HK
dc.identifier.emailKumaraswamy, MM:mohan@hkucc.hku.hken_HK
dc.identifier.authorityKumaraswamy, MM=rp00126en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0360-1323(00)00011-1en_HK
dc.identifier.scopuseid_2-s2.0-0034744971en_HK
dc.identifier.hkuros62474en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034744971&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume36en_HK
dc.identifier.issue3en_HK
dc.identifier.spage337en_HK
dc.identifier.epage349en_HK
dc.identifier.isiWOS:000166887300006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridKumaraswamy, MM=35566270600en_HK
dc.identifier.scopusauthoridDissanayaka, SM=7801627307en_HK

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