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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. |
