This study explores the barriers and opportunities in implementing circular economy policies within developing countries, focusing on the adaptation of policy innovations through expert perspectives. Developing regions face acute challenges, including environmental degradation and limited resource management infrastructure, making the adoption of circular economy models crucial. However, these models require solutions tailored to local contexts. Using a multi-phase methodological framework-encompassing the Delphi method, Best-Worst Method (BWM), and Robust Ordinal Regression (ROR) combined with the Choquet Integral-this research synthesizes expert insights to identify barriers and evaluate policy options with precision. Key findings highlight that Green Public Procurement, plastic bans, and circular taxation policies hold significant potential to address critical barriers such as technological limitations, regulatory inconsistencies, and economic constraints. These policies, supported by actionable strategies, offer pathways to overcome systemic challenges. The study underscores the importance of adaptable and resilient approaches that align with specific socio-economic conditions, ensuring relevance and feasibility. By presenting a replicable framework for policy prioritization and conducting sensitivity analysis using Monte Carlo simulations, this research delivers a robust tool for advancing sustainable transitions to circular economies in resource-constrained settings. The findings demonstrate how tailored interventions can guide policy development toward scalable, resource-efficient, and sustainable economic growth in developing economies. This work contributes to the growing body of knowledge by integrating advanced methodological tools with practical recommendations, bridging the gap between theory and implementation, and offering actionable solutions for policymakers aiming to drive meaningful progress.