dc.contributor.author | Egwim, Christian | |
dc.contributor.author | Alaka, Hafiz | |
dc.contributor.author | Demir, Eren | |
dc.contributor.author | Balogun, Habeeb | |
dc.contributor.author | Ajayi, Saheed O. | |
dc.date.accessioned | 2023-09-18T12:00:02Z | |
dc.date.available | 2023-09-18T12:00:02Z | |
dc.date.issued | 2022-10-13 | |
dc.identifier.citation | Egwim , C , Alaka , H , Demir , E , Balogun , H & Ajayi , S O 2022 , ' Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects ' , Frontiers in Engineering and Built Environment (FEBE) , vol. 3 , no. 1 , pp. 16-31 . https://doi.org/10.1108/FEBE-05-2022-0017 | |
dc.identifier.issn | 2634-2502 | |
dc.identifier.other | Bibtex: egwim2022systematic | |
dc.identifier.other | Bibtex: egwim2022systematic | |
dc.identifier.other | ORCID: /0000-0003-2965-8749/work/166985575 | |
dc.identifier.uri | http://hdl.handle.net/2299/26681 | |
dc.description | © 2022 The Author(s). Published by Emerald Publishing Limited. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/ | |
dc.description.abstract | Purpose – This study aims to develop a comprehensive conceptual framework that serves as a foundation for identifying most critical delay risk drivers for Building Information Modeling (BIM)-based construction projects. Design/methodology/approach – A systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify key delay risk drivers in BIM-based construction projects that have significant impact on the performance of delay risk predictive modelling techniques. Findings – The results show that contractor related driver and external related driver are the most important delay driver categories to be considered when developing delay risk predictive models for BIM-based construction projects. Originality/value – This study contributes to the body of knowledge by filling the gap in lack of a conceptual framework for selecting key delay risk drivers for BIM-based construction projects, which has hampered scientific progress toward development of extremely effective delay risk predictive models for BIM-based construction projects. Furthermore, this study’s analyses further confirmed a positive effect of BIM on construction project delay. | en |
dc.format.extent | 16 | |
dc.format.extent | 1658105 | |
dc.language.iso | eng | |
dc.relation.ispartof | Frontiers in Engineering and Built Environment (FEBE) | |
dc.title | Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects | en |
dc.contributor.institution | Hertfordshire Business School | |
dc.contributor.institution | Centre for Climate Change Research (C3R) | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.contributor.institution | Statistical Services Consulting Unit | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1108/FEBE-05-2022-0017 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |