Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2023-02-01
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| Series: | Frontiers in Engineering and Built Environment |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/FEBE-05-2022-0017/full/pdf |
| _version_ | 1797786217127870464 |
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| author | Christian Nnaemeka Egwim Hafiz Alaka Eren Demir Habeeb Balogun Saheed Ajayi |
| author_facet | Christian Nnaemeka Egwim Hafiz Alaka Eren Demir Habeeb Balogun Saheed Ajayi |
| author_sort | Christian Nnaemeka Egwim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T01:04:46Z |
| format | Article |
| id | doaj.art-46280c1490f442a6afb16809d770d73b |
| institution | Directory Open Access Journal |
| issn | 2634-2499 2634-2502 |
| language | English |
| last_indexed | 2024-03-13T01:04:46Z |
| publishDate | 2023-02-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Frontiers in Engineering and Built Environment |
| spelling | doaj.art-46280c1490f442a6afb16809d770d73b2023-07-06T07:24:54ZengEmerald PublishingFrontiers in Engineering and Built Environment2634-24992634-25022023-02-0131163110.1108/FEBE-05-2022-0017Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projectsChristian Nnaemeka Egwim0Hafiz Alaka1Eren Demir2Habeeb Balogun3Saheed Ajayi4Big Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield, UKUniversity of Hertfordshire, Hatfield, UKUniversity of Hertfordshire, Hatfield, UKUniversity of Hertfordshire, Hatfield, UKLeeds Beckett University, Leeds, UKPurpose – 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.https://www.emerald.com/insight/content/doi/10.1108/FEBE-05-2022-0017/full/pdfBIMConceptual frameworkDelay driversDelay risk predictionPRISMASystematic review |
| spellingShingle | Christian Nnaemeka Egwim Hafiz Alaka Eren Demir Habeeb Balogun Saheed Ajayi Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects Frontiers in Engineering and Built Environment BIM Conceptual framework Delay drivers Delay risk prediction PRISMA Systematic review |
| title | Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects |
| title_full | Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects |
| title_fullStr | Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects |
| title_full_unstemmed | Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects |
| title_short | Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects |
| title_sort | systematic review of critical drivers for delay risk prediction towards a conceptual framework for bim based construction projects |
| topic | BIM Conceptual framework Delay drivers Delay risk prediction PRISMA Systematic review |
| url | https://www.emerald.com/insight/content/doi/10.1108/FEBE-05-2022-0017/full/pdf |
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