Strategies for enhancing the use of Building Information Modelling (BIM) in the construction industry

• Main Authors: Rafindadi, A.D., Othman, I., Shafiq, N., Alarifi, H., Wanees, A.A., Ibrahim, A.
• Format: Conference or Workshop Item
• Published: 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37600/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169811059&doi=10.1088%2f1755-1315%2f1205%2f1%2f012080&partnerID=40&md5=72394148d69fa89ccaf57c2c86f1c601

BIM implementation is still low in construction, especially in developing countries. The study aims to identify the most effective strategies to improve BIM implementation in the construction industry. A quantitative approach was a means of data collection. There were no statistically significant differences in respondents' opinions about the process of enhancing BIM implementation based on educational qualification, age bracket, or the number of BIM projects handled. However, there was based on the participants' specialization and years of working experience. Multiple linear regression was conducted to investigate whether the strategies to improve BIM implementation in the construction industry could significantly predict the level of BIM knowledge/awareness. The findings indicate that three independent variables significantly predict the level of BIM knowledge, F (5, 61) = 8.795, p < 0.001. However, government support and national standard have an insignificant impact on the dependent variable. Also, the R2 = 0.419 depicts that the model explains 41.9 of the variance in the level of BIM knowledge. The research results have implications for enhancing BIM implementation in AEC projects and may increase industry effectiveness. © Published under licence by IOP Publishing Ltd.