While most sustainable supply chains are digitised, not all digital ones are sustainable. This paper explores this relationship through a bibliometric analysis of decision-making methods for next-generation supply chains. These are also referenced as green, sustainable, digital, digitised, or impacted by digital transformation and sustainable development goals (SDGs). The study also analyses the key components of supply chains from the dual perspectives of sustainability and digital transformation. Analytical Hierarchy Process (AHP), Fuzzy AHP, Weighted Sum Method (WSM), and Fuzzy TOPSIS are examined as frequently used modern methods for decision-making within supply chains and other business and management areas. During the research period (Spring 2025), 382 publications are found within Web of Science Core Collection (WOS) and analysed bibliographically using such software as Bibliometrix. The findings suggest that fuzzy AHP and TOPSIS are dominant hybrid approaches, while WSM lacks scholarly attention in next-generation supply chains. This study is limited in that it focuses solely on one database (WOS) and a specific subset of decision-making methods (AHP, Fuzzy AHP, WSM, Fuzzy Topsis). Further studies could expand this scope and incorporate various databases, other modern decision-making methods, and an empirical analysis for results validation.