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        Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects

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        10-1108_FEBE-05-2022-0017.pdf (PDF, 1Mb)
        Author
        Egwim, Christian Nnaemeka
        Alaka, Hafiz
        Demir, Eren
        Balogun, Habeeb
        Ajayi, Saheed O.
        Attention
        2299/26681
        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.
        Publication date
        2022-10-13
        Published in
        Frontiers in Engineering and Built Environment (FEBE)
        Published version
        https://doi.org/10.1108/FEBE-05-2022-0017
        Other links
        http://hdl.handle.net/2299/26681
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