Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89193
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorWuni, IYen_US
dc.creatorShen, GQen_US
dc.creatorOsei-Kyei, Ren_US
dc.creatorAgyeman-Yeboah, Sen_US
dc.date.accessioned2021-02-18T09:14:07Z-
dc.date.available2021-02-18T09:14:07Z-
dc.identifier.issn1562-3599en_US
dc.identifier.urihttp://hdl.handle.net/10397/89193-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2020 Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Construction Management on 13 May 2020 (Published online), available online: http://www.tandfonline.com/10.1080/15623599.2020.1763049.en_US
dc.subjectFuzzy synthetic evaluationen_US
dc.subjectModular integrated constructionen_US
dc.subjectRisk analysisen_US
dc.subjectRisk factorsen_US
dc.titleModelling the critical risk factors for modular integrated construction projectsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2013en_US
dc.identifier.epage2026en_US
dc.identifier.volume22en_US
dc.identifier.issue11en_US
dc.identifier.doi10.1080/15623599.2020.1763049en_US
dcterms.abstractFor many types of projects, modular integrated construction (MiC) is increasingly becoming a preferred method of construction. However, MiC projects are associated with unique risk factors different from those of the traditional construction projects. Thus, it is imperative to conduct a bespoke assessment of the risk factors for MiC projects. This research modelled 29 critical risk factors (CRFs) associated with MiC projects. Quantitative data on the relative significance of CRFs were collected from international MiC experts using structured questionnaires. A principal component analysis generated 4 principal risk factors (PRFs) for MiC projects comprising stakeholder and supply chain risks, design and capabilities risks, financing risks, and regulatory risks. A fuzzy synthetic modelling of the CRFs revealed that the 4 PRFs were significant but with varied impact on MiC projects. This research constitutes the first exclusive quantitative modelling of MiC risk factors with useful practical and theoretical implications. Practically, the research has identified and prioritized the CRFs associated with MiC projects and may serve as a risk evaluation decision support in MiC project planning and implementation. Theoretically, the results contribute to the checklists of CRFs for MiC projects which may form the basis for future studies on the risks of MiC projects.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of construction management, 2022, v. 22, no. 11, p. 2013-2026en_US
dcterms.isPartOfInternational journal of construction managementen_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85084820646-
dc.identifier.eissn2331-2327en_US
dc.description.validate202102 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0547-n04-
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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