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 Modelling (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.
Official URL
More Information
Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.1108/febe-05-2022-0017 |
Status: | Published |
Refereed: | Yes |
Publisher: | Emerald |
Additional Information: | © Christian Nnaemeka Egwim, Hafiz Alaka, Eren Demir, Habeeb Balogun and Saheed Ajayi. |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Mann, Elizabeth |
Date Deposited: | 08 Oct 2024 13:43 |
Last Modified: | 08 Oct 2024 14:00 |
Item Type: | Article |
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Read more research from the author(s):
- CN Egwim ORCID: 0000-0003-2965-8749
- H Alaka
- E Demir
- H Balogun
- S Ajayi ORCID: 0000-0001-6630-0717