  Building Information Modeling (BIM) is a crucial technology in the
construction industry, offering benefits such as enhanced collaboration,
real-time decision-making, and significant cost and time savings. Despite its
advantages, BIM adoption faces numerous barriers. This study aims to create a
reliable tool to assess the Rate of BIM Adoption (RBA), drawing on Attributes
of Innovation theory and empirical data from the literature. This research
integrates theoretical insights with empirical data, providing quantitative
items to measure BAR in the construction industry. The quantitative approach
helps decision-makers and policymakers to mandate BIM and establish appropriate
implementation standards. Its implications are significant for the construction
industry, policymakers, and the academic community, offering a systematic
approach to assess BIM adoption, identify barriers, and implement targeted
strategies. The reliability of this approach is ensured through a solid
theoretical foundation, item development, pilot testing, and statistical
analysis, making it a valuable resource for improving BIM implementation and
fostering innovation in the construction industry.
