Improving construction project management through the application of AI, BIM and GIS at the construction investment project management board: The case of Viet Nam
DOI:
https://doi.org/10.4108/tsoe.12993Keywords:
AI, BIM, GIS, project management, transportation, digital transformationAbstract
This study investigates the impact assessment model of AI, BIM, GIS, and organizational capacity on project management efficiency at regional construction investment project management boards in Vietnam. Data was collected from 250 valid survey responses and analysed using Cronbach's Alpha, EFA, and multiple linear regression. The results show that the model explains 76.6% of the variation in project management efficiency (R² = 0.766). BIM has the strongest impact (β = 0.318), followed by AI (β = 0.242), PME (β = 0.215), GIS (β = 0.181), and organizational capacity (β = 0.153). The study confirms the central role of BIM and the decision-making support role of AI and GIS in the digital project management ecosystem.
Downloads
References
[1] Marzouk M, Enaba M. Using BIM to Identify Claims Early in the Construction Industry: Case Study. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. 2018; 10(3). doi/10.1061/%28ASCE%29LA.1943-4170.0000254
[2] Abioye SO, Oyedele LO, Akanbi LA. Artificial intelligence in the construction industry: A review of present status and future innovations. Journal of Building Engineering. 2021; 44. doi.org/10.1016/j.jobe.2021.103299
[3] Shah KJ et al. Green transportation for sustainability: Review of current barriers, strategies, and innovative technologies. Journal of Cleaner Production. 2021; 326(3). doi: 10.1016/j.jclepro.2021.129392.
[4] Sidani A et al. The Impact of BIM-based virtual and augmented reality interfaces on health and safety in construction projects: protocol for a systematic review. International Journal of Occupational and Environmental Safety. 2018; 2(1): 67-74. doi.org/10.24840/21840954_002.001_0008
[5] Bucci N, Pal A, Yitmen I. Responsible AI in Construction: Ethical frameworks and governance mechanisms. Buildings. 2024; 14(2). doi.org/10.3390/buildings14020456
[6] Pan Y, Zhang L. Integrating BIM and AI for smart construction management. Archives of Computational Methods in Engineering. 2023;30(2):1081-1110.
[7] Regona M, Yigitcanlar T, Hon CK, Teo M. Mapping two decades of AI in construction research. Buildings. 2023;13(9):2346.
[8] Rane N. Integrating BIM and AI for smart construction schedule, cost, quality and safety management: Challenges and Opportunities. Vivekanand Education Society's College of Architecture (VESCOA). 2023;
[9] Lại VL, Nguyen TTN, Dang HM. Construction contract management in Vietnam: Content and influencing factors. Journal of Construction Science and Technology.2016; 10(3): 29-35. https://stce.huce.edu.vn/index.php/vn/article/view/559
[10] Bui CD. Research on the application of AI Agents in design with building information modeling. Journal of Construction. 2026; 04: 2-8. https://cmsnews.tapchixaydung.vn/upload/pdf/2026/05/04/bui-cong-do-ok-pdf_04052026220442.pdf
[11] Luu CD, Trinh TP. Application of GIS in Construction Planning. Journal of Construction. 2021; 02: 30-33. https://vjol.info.vn/tcxd/article/view/57473
[12] Nguyen QT. Application of BIM in construction safety management. Journal of Construction. 2021; 02: 46-49. https://vjol.info.vn/tcxd/article/view/57484
[13] Trinh TA. Factors causing delays in transport projects funded by the state budget in the southern provinces. Journal of Trade Science. 2014; 72(8): 17-23.
[14] Tran PKT. Factors affecting cost overrun of infrastructure projects in Ho Chi Minh City. HCMCOUJS–Economics and Business administration. 2021; 16(3): 165-180. doi:10.46223/HCMCOUJS.econ.vi.16.3.1979.2021
[15] Nguyen TTM, Cao HT. Critical factors varying construction cost. Science and Technology Development Journal. 2009; 12(1): 104-117. https://vjol.info.vn/JSTD/article/view/2037
[16] Hoang T, Chu NMN. Analysis of Research Data with SPSS. Ho Chi Minh City. Hong Duc Publishing. 2008.
[17] Phan QV, Vo TT, Dinh HAT. Factors affecting the efficiency of construction investment project management at the project management board of Vinh Tan thermal power company. Journal of Industry and Trade. 2021; 15(6).
[18] Phạm TT, Phạm LA. Identifying influencing factors and proposing solutions to improve the effectiveness of the management of construction investment projects managed by commune-level investors in Ba To district, Quang Ngai province. Journal of Materials and Construction. 2024; 2(14). doi:org/10.54772/jomc.02.2024.696.
[19] Bock T, Linner T. Construction robots: Elementary technologies and single-task construction robots. Cambridge University Press. 2017. doi.org/10.1017/CBO9781139872041
[20] Cao HT, Swierczek FW. Critical success factors in project management: implication from Vietnam. Asia Pacific Business Review. 2010; 4(16): 567–589. doi: 10.1080/13602380903322957
[21] Podsakoff PM, MacKenzie SB., Lee J, Podsakoff YNP. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology. 2003; 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
[22] Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. Cengage Learning. 2019; (8th).
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Thanh-Tu Huynh, Van-Nam Vo
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
