Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101990
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorEkanayake, EMACen_US
dc.creatorShen, Gen_US
dc.creatorKumaraswamy, Men_US
dc.creatorOwusu, EKen_US
dc.date.accessioned2023-09-27T07:23:27Z-
dc.date.available2023-09-27T07:23:27Z-
dc.identifier.citationv. 29, no. 6, p. 2358-2381-
dc.identifier.issn0969-9988en_US
dc.identifier.urihttp://hdl.handle.net/10397/101990-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Ekanayake, E.M.A.C., Shen, G., Kumaraswamy, M. and Owusu, E.K. (2022), "A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong", Engineering, Construction and Architectural Management, Vol. 29 No. 6, pp. 2358-2381 is published by Emerald and is available at https://dx.doi.org/10.1108/ECAM-12-2020-1010.en_US
dc.subjectFuzzy synthetic evaluation (FSE)en_US
dc.subjectIndustrialized construction (IC)en_US
dc.subjectSupply chain resilience (SCR)en_US
dc.subjectSupply chain vulnerabilities (SCVs)en_US
dc.titleA fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2358en_US
dc.identifier.epage2381en_US
dc.identifier.volume29en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1108/ECAM-12-2020-1010en_US
dcterms.abstractPurpose: Demands for Industrialized Construction (IC) have intensified with growing construction industry imperatives to (A) boost performance; (B) reduce reliance on “in-situ and on-site” operations; and (C) strengthen supply chain resilience (SCR) not just for survival but also to fulfill obligations to clients in the coronavirus disease 2019–induced (COVID-19–induced) “new normal”. In addressing these imperatives, this paper targets more effective leveraging of latent efficiencies of off-site-manufacture, based on findings from a Hong Kong (HK)–based study on assessing and improving SCR in IC in a high-density city.en_US
dcterms.abstractDesign/methodology/approach: Starting with the identification of critical supply chain vulnerabilities (CSCVs), this study developed a multilevel–multicriteria mathematical model to evaluate the vulnerability levels of IC supply chains (SCs) in HK based on an in-depth questionnaire survey followed by experts' inputs and analyzing them using fuzzy synthetic evaluation (FSE).en_US
dcterms.abstractFindings: The overall vulnerability index indicates that IC in HK is substantially vulnerable to disruptions, while production-based vulnerabilities have the highest impact. Top management attention is needed to address these CSCVs in IC in HK.en_US
dcterms.abstractOriginality/value: To the authors' knowledge, this is the first structured evaluation model that measures the vulnerability level of IC, providing useful insights to industry stakeholders for well-informed decision-making in achieving resilient, sustainable and performance-enhanced SCs.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering, construction and architectural management, 2022, v. 29, no. 6, p. 2358-2381en_US
dcterms.isPartOfEngineering, construction and architectural managementen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85107766113-
dc.identifier.eissn1365-232Xen_US
dc.description.validate202309 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0885-n01-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Ekanayake_Fuzzy_Synthetic_Evaluation.pdfPre-Published version1.45 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

108
Citations as of Apr 14, 2025

Downloads

132
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

39
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

20
Citations as of Oct 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.