Building information modelling (BIM) implementation involves various risks, which prevent users from assuring the potential benefits. The objectives of this study are to identify the risks associated with BIM implementation in architectural, engineering and construction projects and model the paths of these risks. To achieve these objectives, 16 risks categorized into 9 groups were identified from a literature review, and a questionnaire survey was conducted with 38 professionals in Australia. The hypothetical risk paths were tested using partial least square-structural equation modelling. Eight risk paths were statistically significant, which further formed nine chains of risk paths. ‘Inadequate relevant knowledge and expertise’ was the primary root risk category, and ‘technological issues’, ‘poor information sharing and collaboration’ and ‘data ownership issues’ were the secondary root risk category. Additionally, the expense associated with BIM implementation can be offset by the cost savings brought by BIM.
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Zhao et al. (2017) studied this question.
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