File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A fuzzy gap analysis model for evaluating the performance of engineering consultants

TitleA fuzzy gap analysis model for evaluating the performance of engineering consultants
Authors
KeywordsConsultant performance
Fuzzy membership functions
Gap analysis
Performance evaluation
Issue Date2007
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autcon
Citation
Automation In Construction, 2007, v. 16 n. 4, p. 425-435 How to Cite?
AbstractEvaluating the performance of Engineering Consultants (ECs) is a major challenge as the process involves a number of subjective elements. However, as performance is an important dimension for prequalifying and selecting ECs, it would be helpful if relevant data can be solicited from various clients. The diversity in the Consultant Performance Evaluation (CPE) criteria and the interpretation of performance levels amongst various assessors would undoubtedly undermine the reliability and transparency of CPE. In this paper, a fuzzy gap analysis model is proposed to improve the practice of CPE. The study begins by identifying a list of CPE criteria and their corresponding quantitative indicators for the design stage of a project. Considering the performance levels for each of the quantitative indicators could be interpreted by assessors differently, an empirical survey is conducted to identify a range of possible values within each of the 'poor', 'average', 'good', 'very good' and 'excellent' performance levels. The fuzzy gap analysis CPE model is proposed to facilitate assessors to compare the client's expectation and actual service quality of an EC. The model proposed in this paper is not only novel but could also improve the fairness and transparency of this type of decision under an increasingly collaborative environment. © 2006 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/71598
ISSN
2015 Impact Factor: 2.442
2015 SCImago Journal Rankings: 1.571
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChow, LKen_HK
dc.contributor.authorNg, STen_HK
dc.date.accessioned2010-09-06T06:33:26Z-
dc.date.available2010-09-06T06:33:26Z-
dc.date.issued2007en_HK
dc.identifier.citationAutomation In Construction, 2007, v. 16 n. 4, p. 425-435en_HK
dc.identifier.issn0926-5805en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71598-
dc.description.abstractEvaluating the performance of Engineering Consultants (ECs) is a major challenge as the process involves a number of subjective elements. However, as performance is an important dimension for prequalifying and selecting ECs, it would be helpful if relevant data can be solicited from various clients. The diversity in the Consultant Performance Evaluation (CPE) criteria and the interpretation of performance levels amongst various assessors would undoubtedly undermine the reliability and transparency of CPE. In this paper, a fuzzy gap analysis model is proposed to improve the practice of CPE. The study begins by identifying a list of CPE criteria and their corresponding quantitative indicators for the design stage of a project. Considering the performance levels for each of the quantitative indicators could be interpreted by assessors differently, an empirical survey is conducted to identify a range of possible values within each of the 'poor', 'average', 'good', 'very good' and 'excellent' performance levels. The fuzzy gap analysis CPE model is proposed to facilitate assessors to compare the client's expectation and actual service quality of an EC. The model proposed in this paper is not only novel but could also improve the fairness and transparency of this type of decision under an increasingly collaborative environment. © 2006 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autconen_HK
dc.relation.ispartofAutomation in Constructionen_HK
dc.rightsAutomation in Construction. Copyright © Elsevier BV.en_HK
dc.subjectConsultant performanceen_HK
dc.subjectFuzzy membership functionsen_HK
dc.subjectGap analysisen_HK
dc.subjectPerformance evaluationen_HK
dc.titleA fuzzy gap analysis model for evaluating the performance of engineering consultantsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0926-5805&volume=16&issue=4&spage=425&epage=435&date=2007&atitle=A+fuzzy+gap+analysis+model+for+evaluating+the+performance+of+engineering+consultantsen_HK
dc.identifier.emailNg, ST:tstng@hkucc.hku.hken_HK
dc.identifier.authorityNg, ST=rp00158en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.autcon.2006.07.010en_HK
dc.identifier.scopuseid_2-s2.0-33847236982en_HK
dc.identifier.hkuros128632en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847236982&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.issue4en_HK
dc.identifier.spage425en_HK
dc.identifier.epage435en_HK
dc.identifier.isiWOS:000245577100002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridChow, LK=8303089900en_HK
dc.identifier.scopusauthoridNg, ST=7403358853en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats