Purpose This study aims to establish an adoption model using Structural Equation Modeling (SEM) that examines the relationship between several key indicators that drive building information modeling (BIM) adoption. Design/methodology/approach The study was carried out using quantitative approaches through the Delphi method and questionnaire survey. A total of 272 completed responses were collected and analyzed through the SEM technique using SPSS 25 and AMOS software. Findings The structural model shows that “environment” and partially “people” indicators are the leading indicators driving BIM adoption with path coefficient values of 0.280 and 0.332, respectively. Originality/value It is expected that these conclusions will lead the Bahraini construction industry stakeholders to raise the level of BIM adoption.

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