Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry | ||
| Journal of Information Technology Management | ||
| دوره 14، Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)، 2022، صفحه 57-82 اصل مقاله (811.67 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2022.84885 | ||
| نویسندگان | ||
| Hafiz Muhammad Faisal f Shehzad* 1؛ Roliana Ibrahim2؛ Khairul Anwar Mohamed Khaidzir3؛ Fahad Maqbool4؛ Muhammad Jauharul Fuady5؛ Muhammad Ilyas6؛ Ahmad Fadhil bin Yusof2 | ||
| 1School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan. | ||
| 2School of Computing, University Technology Malaysia, Johor Bahru, Malaysia. | ||
| 3Department of Architecture, Faculty of Built Environment, University Technology Malaysia. | ||
| 4Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan | ||
| 5School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Faculty of Engineering, Universitas Negeri Malang,Indonesia. | ||
| 6Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Building Information Modeling (BIM)؛ Influencing factors؛ BIM adoption Model؛ Technology Acceptance؛ BIM Adoption | ||
| مراجع | ||
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