Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships
Building Information Modeling (BIM) has arisen as a promising technology that can enhance construction project outcomes through cost reduction when compared to conventional practices. More studies need to be conducted to examine the influence of BIM technology on cost overruns. Therefore, the primar...
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| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/22/10711 |
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| author | Aljawharah A. Alnaser Khalid S. Al-Gahtani Naif M. Alsanabani |
| author_facet | Aljawharah A. Alnaser Khalid S. Al-Gahtani Naif M. Alsanabani |
| author_sort | Aljawharah A. Alnaser |
| collection | DOAJ |
| description | Building Information Modeling (BIM) has arisen as a promising technology that can enhance construction project outcomes through cost reduction when compared to conventional practices. More studies need to be conducted to examine the influence of BIM technology on cost overruns. Therefore, the primary aim of this paper is to investigate how BIM influences critical risk factors related to cost overruns. This investigation involves reevaluating and reranking these risk factors while exploring their interrelationships. Research involves a comprehensive literature review to identify risk factors correlated with cost overruns, the development of a survey questionnaire for BIM specialists, and an analysis of quantitative data using a partial least square structure equation model (PLS–SEM) to identify and examine significant risk factors and their interdependencies. The study’s findings revealed that BIM significantly mitigates the impact of risk factors associated with the awarding of contracts to the lowest bidder, decreasing its ranking from first to third. Furthermore, BIM effectively minimizes the influence of risk factors related to changed orders, relegating it from second position to tenth position. In addition, risk factors related to experience exerted a more significant influence on risk factors related to finances than the influence of finances on experience. Findings contribute to the knowledge base by evaluating the influence of BIM technology on risk factors and cost overruns in the Saudi construction industry, thereby offering insights for improved project management and control. |
| format | Article |
| id | doaj-art-665983bee5564282bfa97a18abee4f49 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-665983bee5564282bfa97a18abee4f492025-08-20T01:53:49ZengMDPI AGApplied Sciences2076-34172024-11-0114221071110.3390/app142210711Building Information Modeling Impact on Cost Overrun Risk Factors and InterrelationshipsAljawharah A. Alnaser0Khalid S. Al-Gahtani1Naif M. Alsanabani2College of Architecture and Planning, Department of Architecture and Building Science, King Saud University, Riyadh 11574, Saudi ArabiaCollege of Engineering, Civil Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaCollege of Engineering, Civil Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaBuilding Information Modeling (BIM) has arisen as a promising technology that can enhance construction project outcomes through cost reduction when compared to conventional practices. More studies need to be conducted to examine the influence of BIM technology on cost overruns. Therefore, the primary aim of this paper is to investigate how BIM influences critical risk factors related to cost overruns. This investigation involves reevaluating and reranking these risk factors while exploring their interrelationships. Research involves a comprehensive literature review to identify risk factors correlated with cost overruns, the development of a survey questionnaire for BIM specialists, and an analysis of quantitative data using a partial least square structure equation model (PLS–SEM) to identify and examine significant risk factors and their interdependencies. The study’s findings revealed that BIM significantly mitigates the impact of risk factors associated with the awarding of contracts to the lowest bidder, decreasing its ranking from first to third. Furthermore, BIM effectively minimizes the influence of risk factors related to changed orders, relegating it from second position to tenth position. In addition, risk factors related to experience exerted a more significant influence on risk factors related to finances than the influence of finances on experience. Findings contribute to the knowledge base by evaluating the influence of BIM technology on risk factors and cost overruns in the Saudi construction industry, thereby offering insights for improved project management and control.https://www.mdpi.com/2076-3417/14/22/10711PLS–SEMcost overruninterdependenciesBIMrisk factors |
| spellingShingle | Aljawharah A. Alnaser Khalid S. Al-Gahtani Naif M. Alsanabani Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships Applied Sciences PLS–SEM cost overrun interdependencies BIM risk factors |
| title | Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships |
| title_full | Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships |
| title_fullStr | Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships |
| title_full_unstemmed | Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships |
| title_short | Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships |
| title_sort | building information modeling impact on cost overrun risk factors and interrelationships |
| topic | PLS–SEM cost overrun interdependencies BIM risk factors |
| url | https://www.mdpi.com/2076-3417/14/22/10711 |
| work_keys_str_mv | AT aljawharahaalnaser buildinginformationmodelingimpactoncostoverrunriskfactorsandinterrelationships AT khalidsalgahtani buildinginformationmodelingimpactoncostoverrunriskfactorsandinterrelationships AT naifmalsanabani buildinginformationmodelingimpactoncostoverrunriskfactorsandinterrelationships |