Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JITM-14-5_004

تاریخ نمایه سازی: 25 بهمن 1400

Abstract:

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.

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Authors

Shehzad

School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.

Ibrahim

School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.

Anwar Mohamed Khaidzir

Department of Architecture, Faculty of Built Environment, University Technology Malaysia.

Maqbool

Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan

Jauharul Fuady

School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Faculty of Engineering, Universitas Negeri Malang,Indonesia.

Ilyas

Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.

bin Yusof

School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.

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