Abstract The rapid expansion of renewable energy has increased the need for systematic tools to evaluate the sustainability performance of enterprises operating in this sector. Many existing assessments focus on individual indicators or national policy outcomes, while fewer studies provide structured decision support methods for evaluating enterprise level sustainability across economic, environmental, and social dimensions. This study develops a decision support framework for evaluating sustainability performance in renewable energy enterprises based on the Triple Bottom Line concept. The framework integrates expert informed indicator selection, Analytical Hierarchy Process weighting, and Multi-Criteria Decision Analysis ranking to provide a transparent and replicable evaluation procedure. Sustainability indicators were first identified and refined through a structured expert consultation process. A survey employing Likert scale indicators assessed stakeholder priorities about economic viability, environmental stewardship, and social impact. The Analytical Hierarchy Process was utilized in the study to determine the relative weights of the sustainability pillars, while the Weighted Sum Model was employed to calculate the overall sustainability ratings for the participating enterprises. This study contributes a methodological advancement by shifting the AHP-MCDA application from project or technology selection toward enterprise-level sustainability benchmarking. The framework converts expert-validated TBL indicators into weighted composite scores and pillar-specific diagnostic profiles, allowing decision-makers to identify not only which enterprises perform better, but also which sustainability dimensions require improvement. The results demonstrate how the proposed approach converts stakeholder perceptions into quantitative sustainability assessments. The study provides a transferable methodological framework that supports enterprise-level sustainability evaluation and strategic decision-making in the renewable energy sector.
Nguyen et al. (Tue,) studied this question.