This study investigates the combined impact of three key digital technologies (Internet of Things (IoT), Big Data, and Artificial Intelligence (AI)) on sustainable supply chain management. While previous research has focused on their individual effects, this study evaluates their integrated influence across environmental, economic, and social sustainability dimensions. Ten sustainability enablers were identified through a literature review, and expert input was used to assess their interrelations. Three complementary multi-criteria decision-making (MCDM) methods were applied: Interpretive Structural Modeling (ISM), MICMAC analysis, and Grey-DEMATEL. ISM revealed the hierarchical structure of the enablers, MICMAC assessed their influence and dependence levels, and Grey-DEMATEL quantified the strength and direction of their relationships under uncertainty. Key findings highlight Criterion 4 (Security and Data Protection) as the central factor in system stability. Criteria 10 (Continuous Learning and Improvement) and 1 (Real-time Data Collection) were identified as highly influential, while Criterion 8 (Supplier and Customer Relations) was the most dependent. The results demonstrate the value of using multiple methods to capture complex interdependence and provide a solid foundation for decision-makers seeking to integrate digital technologies into sustainable supply chain strategies.