Intervention Model of Low BIM Adoption in Malaysia: A Need for Learning Institution Precedence
Shahela Mamter1, Abdul Rashid Abdul Aziz2, Jafri Zulkepli3
1Shahela Mamter, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Seri Iskandar Campus, Perak, Malaysia.
2Abdul Rashid Abdul Aziz, School of Housing, Building and Planning, Universiti Sains Malaysia.
3Jafri Zulkepli, School of Quantitative Sciences, Universiti Utara Malaysia.
Manuscript received on 27 June 2019 | Revised Manuscript received on 10 July 2019 | Manuscript Published on 17 July 2019 | PP: 513-518 | Volume-8 Issue-2S July 2019 | Retrieval Number: B10770782S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The government has allocated a substantial budget for the National Key Economic Areas (NKEA) to increase productivity in the construction sector by focusing on increasing technology adoption. However, the Construction Industry Transformation Plan (CITP) has reported that adoption Building Information Modelling (BIM) in Malaysia has estimated 10 per cent which is low in uptake among the construction stake players. In order to encourage BIM adoption in the Malaysia construction industry, the government strategy is to impose level 2 BIM for all government projects from 2019 onwards. Therefore, the research objectives of this paper are to identify the main BIM driving factors and to simulate the intervention model of low BIM adoption in Malaysia. Primary data were collected through a questionnaire survey and analysis of the mean value shows that learning institution scored the highest value as a potential driving factor to holistic BIM adoption. Consequently, using the stock flow diagram in system dynamic modelling, the paper reveals the novelty of the development of the intervention model among the learning institution enablers. The use of the intervention model has the potential to assist the Malaysian government in improving the uptake the CITP and reach for the Fourth Industrial Revolution.
Keywords: System Dynamic Modelling; BIM Adoption; Driving Factor; Intervention Model.
Scope of the Article: Advanced Computing Architectures and New Programming Models