Editorial
Improving construction project management through the application of AI, BIM and GIS at the construction investment project management board: The case of Viet Nam
@ARTICLE{10.4108/tsoe.12993, author={Van-Nam Vo and Thanh-Tu Huynh}, title={Improving construction project management through the application of AI, BIM and GIS at the construction investment project management board: The case of Viet Nam}, journal={ EAI Endorsed Transactions on Transportation Systems and Ocean Engineering}, volume={2}, number={1}, publisher={EAI}, journal_a={TSOE}, year={2026}, month={7}, keywords={AI, BIM, GIS, project management, transportation, digital transformation}, doi={10.4108/tsoe.12993} }- Van-Nam Vo
Thanh-Tu Huynh
Year: 2026
Improving construction project management through the application of AI, BIM and GIS at the construction investment project management board: The case of Viet Nam
TSOE
EAI
DOI: 10.4108/tsoe.12993
Abstract
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.
Copyright © 2026 Thanh-Tu Huynh et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-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.
