This study introduces a pioneering structural equation modeling (SEM)-based framework to assess the readiness for adopting Building Information Modeling (BIM) and Digital Twin (DT) in sustainable construction. The research delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), providing a holistic understanding of the impact of KSFs on BIM-DT adoption. The study aims to identify KSFs and SPs, prioritize their relative weights, analyze their correlations, and offer practical insights. The results highlight the importance of sustainability considerations, with cost optimization and resource management playing pivotal roles. The top-ranked KSFs contributing to successful BIM-DT adoption include organizational readiness, availability of technology operators, standards and codes, knowledge and skills, and financial investment. The study also addresses the challenges and gaps in the current literature, particularly in developing countries, and provides a comprehensive theoretical framework to assess BIM-DT readiness. The research methodology involves a mixed-method approach, including literature review, brainstorming, pilot survey, questionnaire survey, and SEM analysis. The findings are validated through reliability and validity tests, and the SEM model is used to establish the relationships between KSFs and SPs. The study concludes with a discussion on the relative importance weights of the observed variables, offering practical implications for BIM-DT readiness assessment.This study introduces a pioneering structural equation modeling (SEM)-based framework to assess the readiness for adopting Building Information Modeling (BIM) and Digital Twin (DT) in sustainable construction. The research delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), providing a holistic understanding of the impact of KSFs on BIM-DT adoption. The study aims to identify KSFs and SPs, prioritize their relative weights, analyze their correlations, and offer practical insights. The results highlight the importance of sustainability considerations, with cost optimization and resource management playing pivotal roles. The top-ranked KSFs contributing to successful BIM-DT adoption include organizational readiness, availability of technology operators, standards and codes, knowledge and skills, and financial investment. The study also addresses the challenges and gaps in the current literature, particularly in developing countries, and provides a comprehensive theoretical framework to assess BIM-DT readiness. The research methodology involves a mixed-method approach, including literature review, brainstorming, pilot survey, questionnaire survey, and SEM analysis. The findings are validated through reliability and validity tests, and the SEM model is used to establish the relationships between KSFs and SPs. The study concludes with a discussion on the relative importance weights of the observed variables, offering practical implications for BIM-DT readiness assessment.