Life Cycle Sustainability Assessment Integrated Data‐Driven Methodological Framework for Sustainable Supplier Selection

ABSTRACT With the growing importance of sustainable supply chain management, businesses are actively looking for sustainable suppliers that consider all sustainability dimensions. This study aims to demonstrate a data‐driven methodological framework for sustainable supplier selection (SSS). The research proposes a three‐stage, data‐driven approach for SSS. The first stage involves using the life cycle sustainability assessment (LCSA) methodology. The second stage involves determining the weights of each category by using criteria importance through inter‐criteria correlation (CRITIC). Finally, the multi‐attributive border approximation area comparison (MABAC) method is utilized to assess the performance of different suppliers and identify the most sustainable supplier. This study emphasizes relying on a data‐driven approach rather than solely depending on experts' opinions and judgments. Moreover, this study demonstrates the significance of research methodology with prioritization considering industry‐specific relevant categories. This proposed framework will assist professionals and decision‐makers in making informed decisions regarding sustainable suppliers.