Talukder, Mohd Tahseen Islam and Akter, Nipa (2024) Digital Transformation of the Construction Design Based on the Building Information Modelling. Innovative: International Multi-disciplinary Journal of Applied Technology, 2 (8). pp. 297-305. ISSN 2995-486X

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Abstract

Background: The construction sector experiences an active digital evolution which Building Information Modelling (BIM) operates as essential technology to enhance design operations and project management and maintain better coordination between teams. Methods: The research used a quantitative approach to gather information through structured questionnaires which construction professionals including engineers and architects and project managers completed. The research team used purposive sampling to pick study participants who had direct experience working with BIM systems. The research instrument applied a 5-point Likert scale which evaluated BIM operational methods and fundamental BIM components including design efficiency and clash detection and visualization and collaboration and cost reduction and project success metrics. and Pearson correlation and multiple regression analysis to investigate the connections between different variables. Results: Projects that employ BIM will see significantly improved performance (i.e., example; clash detection (86.5%), visualization (84.1%), accuracy of the design (82.2%)). There is a strong positive correlation between BIM elements and the performance of the project as determined by correlation analysis (R=0.79). A regression also indicates that BIM can be accounted for as having contributed to the variations in project performance (R²=0.62). The role of design efficiency and clash detection are two important BIM elements that have been directly correlated to the success of construction based projects and their performance. Conclusion: Therefore, based on the findings of this study, it can be concluded that BIM serves a vital function in enhancing the construction process as well as improving project performance by increasing its efficiency.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General)
Depositing User:	admin eprints
Date Deposited:	28 Jun 2026 23:20
Last Modified:	28 Jun 2026 23:20
URI:	http://eprints.umsida.ac.id/id/eprint/16655

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