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 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.

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Publication Details

Journal
Applied Sciences
Published
2024-11-19
DOI
https://doi.org/10.3390/app142210711
Citations
6
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.59
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article

Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships

Naif M. Alsanabani, Khalid S. Al-Gahtani, Aljawharah A. Alnaser
6 citations
Applied Sciences
BIM and Construction Integration
1.59
article

Building Information Modeling Impact on Cost Overrun Risk Factors and Interrelationships

Naif M. Alsanabani, Khalid S. Al-Gahtani, Aljawharah A. Alnaser
article en
6 citations

Abstract

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.

Applied SciencesVol. 14(22)
King Saud University (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
BIM and Construction Integration
1.59
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