Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103253
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorMa, Xen_US
dc.creatorDarko, Aen_US
dc.creatorChan, APCen_US
dc.creatorWang, Ren_US
dc.creatorZhang, Ben_US
dc.date.accessioned2023-12-11T00:32:41Z-
dc.date.available2023-12-11T00:32:41Z-
dc.identifier.issn1562-3599en_US
dc.identifier.urihttp://hdl.handle.net/10397/103253-
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 09 Nov 2020 (published online), available at: http://www.tandfonline.com/10.1080/15623599.2020.1842961.en_US
dc.subjectBuilding information modelling (BIM)en_US
dc.subjectCritical barriersen_US
dc.subjectBIM implementationen_US
dc.subjectArchitecture, engineering, and construction (AEC)en_US
dc.subjectAEC projectsen_US
dc.titleAn empirical analysis of barriers to Building Information Modelling (BIM) implementation in construction projects : evidence from the Chinese contexten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage3119en_US
dc.identifier.epage3127en_US
dc.identifier.volume22en_US
dc.identifier.issue16en_US
dc.identifier.doi10.1080/15623599.2020.1842961en_US
dcterms.abstractAlthough building information modelling (BIM) applies widely in the architecture, engineering, and construction (AEC) industry, its systematic implementation in AEC projects still experiences challenges. While most previous studies have investigated general BIM implementation, the present study precisely focuses on the barriers to BIM implementation at the AEC project level and explores their sources in the Chinese project context. Based on a questionnaire survey with 166 valid responses from experienced BIM practitioners as empirical evidence from the Chinese construction context, the data were processed using descriptive statistical analysis, non-parametric analysis and principal component analysis. The results of the descriptive analysis classified 14 critical barriers. The international comparison of the top five barriers indicated that the most critical barriers were similar but ranked differently in different countries. The following principal component analysis revealed six underlying factors for all the barriers, which were experience and capabilities, technical conditions, system inertia, extra input, change of work routines, and implementation risks. The findings of this study may help the practitioners to understand BIM implementation barriers, allocate resources, and prioritize efforts in project practices. This study can also provide implications for BIM deployment and governance in the AEC industry.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of construction management, 2022, v. 22, no. 16, p. 3119-3127en_US
dcterms.isPartOfInternational journal of construction managementen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85095786940-
dc.identifier.eissn2331-2327en_US
dc.description.validate202312 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0410-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS38984809-
dc.description.oaCategoryGreen (AAM)en_US
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