In recent years, the intersection of green finance and financial technologies (FinTech) has emerged as a critical domain for promoting sustainable development and addressing global environmental challenges. Despite the growing body of research on environmental, social, and governance (ESG) investments, existing studies often lack robust, multi-criteria decision-making frameworks that can systematically evaluate investment strategies in the context of green FinTech applications. Moreover, there remains a significant conceptual and methodological gap in integrating dynamic interdependencies and uncertainty in ESG decision-making processes. To satisfy this gap, this study aims to identify prior investment strategies for performance improvement of green FinTech-based environmental, social and governance projects. A novel fuzzy decision-making model is constructed by integrating dynamical influence propagation with entropy optimization, weighted aggregated sum product assessment (WASPAS) and multi-facet fuzzy sets. The main contribution of this study is to satisfy the conceptual and methodological gaps in the field by proposing a decision-making model to address the limitations in the literature on green FinTech-based ESG investments. The findings indicate that environmental impact is the most critical item for the improvements of these investments. Regulatory technology (Reg-tech) ESG platform is the most significant strategy alternative. It is recommended that future ESG investment strategies prioritize environmental metrics within FinTech evaluation frameworks.
Dinçer et al. (2026) studied this question.