BIM-AI Adoption in Philippine Public Sector Construction: A Study on Efficiency Gains and Implementation Challenges
Abstract
This study investigates the Building Information Modelling (BIM) with Artificial Intelligence (AI) integration adoption in the Philippine public sector construction. It is also the aim of this study to determine the benefits that the government gain from integrating it and identify the challenges encountered by the operators. A survey questionnaire and semi-structured interview was utilized by this study to reveal the efficiency gained by the users in terms of cost, time, and quality. The data collected was also analyzed to identify the implementation challenges encountered. IBM SPSS Statistics 27.0.1 and NVivo software was used to analyze the data. Results showed that BIM-AI projects achieved cost reductions of 10% to 20%, while a reduction of 15% to 25% was attained in terms of time savings. In terms of quality, a substantial boost in BIM-AI projects was observed compared to traditional approach. Moreover, data collected showed that lack of training, lack of budget to buy subscriptions, and insufficiency of provided seminars were among the challenges encountered by the BIM-AI operators. Inadequate inter-agency coordination and the lack of standardized digital protocols hinder the scalable implementation of BIM-AI across government infrastructure projects.
Keywords
BIM, Building Information Modelling, AI, Artificial Intelligence, Philippine Construction Industry, DPWH, Efficiency Gains, Implementation Challenges
Citations
IRE Journals:
Kenneth L. Panahon, Noel T. Florencondia "BIM-AI Adoption in Philippine Public Sector Construction: A Study on Efficiency Gains and Implementation Challenges" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 426-431
IEEE:
Kenneth L. Panahon, Noel T. Florencondia
"BIM-AI Adoption in Philippine Public Sector Construction: A Study on Efficiency Gains and Implementation Challenges" Iconic Research And Engineering Journals, 9(6)
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