Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 14 Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020) 2022 02 01 Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry 57 82 84885 10.22059/jitm.2022.84885 EN Hafiz Muhammad Faisal F Shehzad School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan. Roliana Ibrahim School of Computing, University Technology Malaysia, Johor Bahru, Malaysia. Khairul Anwar Mohamed Khaidzir Department of Architecture, Faculty of Built Environment, University Technology Malaysia. Fahad Maqbool Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan Muhammad Jauharul Fuady School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Faculty of Engineering, Universitas Negeri Malang,Indonesia. Muhammad Ilyas Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan. Ahmad Fadhil Bin Yusof School of Computing, University Technology Malaysia, Johor Bahru, Malaysia. Journal Article 2021 12 12 The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle of a building. Despite the many benefits and features of BIM, the Malaysian construction industry's proliferation is confronted with adoption issues. Therefore, this research study intends to find the effect of BIM adoption factors in Malaysian AEC. Quantitative data collection from construction firms is gathered. The proposed model's theoretical foundations are based on Technology, Organization Environment framework. The model is tested and validated with the Smart PLS tool. The study's findings indicate that Perceived benefits, Organizational Capabilities, and Trialability are drivers of BIM adoption. Perceived cost and Insecurity are the barriers to BIM adoption. Perceived ease of use and compatibility does not affect BIM adoption. Finally, this study performs Importance Performance Map Analysis to provide recommendations to AEC stakeholders to address the BIM adoption issues for enhancing its diffusion in Malaysia. https://jitm.ut.ac.ir/article_84885_53ce4f8c5eff0302f9ad3c3b91b705a3.pdf