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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorWuni, IYen_US
dc.creatorShen, GQen_US
dc.date.accessioned2021-02-18T09:14:06Z-
dc.date.available2021-02-18T09:14:06Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/89192-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Wuni, I. Y., & Shen, G. Q. (2020). Fuzzy modelling of the critical failure factors for modular integrated construction projects. Journal of Cleaner Production, 264, 121595 is available at https://dx.doi.org/10.1016/j.jclepro.2020.121595.en_US
dc.subjectCritical failure factorsen_US
dc.subjectFuzzy modellingen_US
dc.subjectModular integrated constructionen_US
dc.subjectProjectsen_US
dc.titleFuzzy modelling of the critical failure factors for modular integrated construction projectsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume264en_US
dc.identifier.doi10.1016/j.jclepro.2020.121595en_US
dcterms.abstractModular integrated construction (MiC) is a game-changing cleaner construction approach which improves construction project performances. For many types of buildings, MiC is increasingly becoming a preferred construction method. However, MiC projects have generated mixed outcomes; many of them encountered problems and even failed. Yet, there is limited knowledge of the reasons why MiC projects may fail. This research identified and evaluated 22 potential critical failure factors (CFFs) for MiC projects, based on a structured questionnaire survey with international experts. A mean score analysis showed that all the identified CFFs are significant factors causing MiC project failure. A structure detection analysis of the CFFs generated a 4-factor solution explaining about 72.34% of the total variance in the failure of MiC projects. The 4 principal failure factors (PFFs) for MiC projects comprise poor design and dimensional variability management, poor stakeholder and supply chain management, limited technical knowledge, capability and experience, and late commitment. A fuzzy modelling of the CFFs revealed that all the 4 PFFs are significant factors causing MiC project failure. The inclusive findings of the research have useful implications. Theoretically, the findings contribute to the useful checklist of generic CFFs for MiC projects. Practically, the research prioritized the CFFs, which may serve as a useful management-support in the implementation of MiC projects.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 10 Aug. 2020, v. 264, 121595en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2020-08-10-
dc.identifier.scopus2-s2.0-85083456833-
dc.identifier.artn121595en_US
dc.description.validate202102 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0547-n02-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextResearch Grants Council (Hong Kong PhD Fellowship Scheme): PF17 – 00649en_US
dc.description.pubStatusPublisheden_US
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