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

Christian Nnaemeka Egwim, Hafiz Alaka, Eren Demir, Habeeb Balogun, Saheed O. Ajayi

Research output: Contribution to journalArticlepeer-review

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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.
Original languageEnglish
Pages (from-to)16-31
Number of pages16
Journal Frontiers in Engineering and Built Environment (FEBE)
Volume3
Issue number1
DOIs
Publication statusPublished - 13 Oct 2022

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