Digital twin and BIM adoption in construction project management: a quantitative expert-based study
- Authors: Nguyen L.M.1, Nguyen L.V.2, Vu K.V1, Pham N.T.1
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Affiliations:
- Thuyloi University
- Ton Duc Thang University
- Issue: Vol 12, No 4 (2025): RUSSIAN TRANSFORMATION: POLITICAL AND SOCIO-ECONOMIC ASPECTS
- Pages: 509-519
- Section: INTERNATIONAL EXPERIENCE OF PUBLIC ADMINISTRATION
- URL: https://journals.rcsi.science/2312-8313/article/view/365373
- DOI: https://doi.org/10.22363/2312-8313-2025-12-4-509-519
- EDN: https://elibrary.ru/LKGGTV
- ID: 365373
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Abstract
This study investigates the role of Digital Twin (DT) services in facilitating the adoption of Building Information Modeling (BIM) in construction project management. Despite growing interest in digital transformation within the Architecture, Engineering, and Construction (AEC) industry, empirical evidence on how DT influences BIM implementation remains limited. To address this gap, a structured questionnaire was developed through an extensive literature review and distributed to 53 professionals actively engaged in BIM and DT applications, including contractors, consultants, and academics. The collected data were analyzed using SPSS with reliability tests (Cronbach’s Alpha), Pearson correlation, independent-samples t-tests, and one-way ANOVA with post-hoc analysis. The results revealed strong internal consistency of the survey instrument (Cronbach’s Alpha = 0.944), confirming the robustness of the measurement scale. Correlation analysis showed significant positive associations between DT service factors and BIM adoption (p < 0.01). Group comparisons demonstrated that perceptions of DT’s contribution to BIM adoption varied across organizational roles, with notable differences between contractors, consultants, and research institutions (p < 0.05). These findings highlight the synergistic relationship between DT and BIM, suggesting that integrating DT services can enhance BIM utilization and overall project performance. The study contributes to academic knowledge and professional practice by providing empirical evidence of DT’s enabling role in digital transformation. Practical implications include guiding policymakers, project managers, and technology providers in making informed decisions regarding DT-enabled BIM adoption. Although limited by its sample size and geographic scope, this research lays the groundwork for future studies employing larger international datasets and advanced statistical modeling. The results confirm the critical importance of DT services in accelerating successful BIM implementation across the construction sector.
About the authors
Luan M. Nguyen
Thuyloi University
Email: minhluan1102@gmail.com
ORCID iD: 0009-0004-3547-7375
Master student
175 Tay Son st., Hanoi, 100000, VietnamLuat V. Nguyen
Ton Duc Thang University
Email: ng.vuluat1910@gmail.com
ORCID iD: 0000-0001-5569-874X
Researcher, Intelligent Civil Computing Group
19 Nguyen Huu Tho st., Ho Chi Minh, 700000, VietnamKien V Vu
Thuyloi University
Email: kienvuvan@tlu.edu.vn
ORCID iD: 0009-0002-7535-4519
Master Student
175 Tay Son st., Hanoi, 100000, VietnamNgoc T. Pham
Thuyloi University
Author for correspondence.
Email: thinhtls@tlu.edu.vn
ORCID iD: 0000-0002-4928-6236
Doctor of Engineering Sciences, Professor
175 Tay Son st., Hanoi, 100000, VietnamReferences
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