| Autor: |
Egwim, Christian Nnaemeka, Alaka, Hafiz, Demir, Eren, Balogun, Habeeb, Ajayi, Saheed |
| Zdroj: |
Frontiers in Engineering and Built Environment; August 2022, Vol. 3 Issue: 1 p16-31, 16p |
| Abstrakt: |
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. |
| Databáze: |
Supplemental Index |
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