Global Perspectives on Determinants Influencing the Adoption of AI-Driven Sustainable Fintech Solutions

Using a mixed methods approach that combines qualitative and quantitative research, this study investigates new developments in artificial intelligence (AI) applications in sustainable Fintech and empirically validates a conceptual research model. It examines important factors impacting the adoption of AI technologies in sustainable Fintech from a cross-national standpoint, highlighting the crucial aspects of advantages, costs, and sustainability characteristics that influence user adoption intentions. To provide a thorough evaluation of scholarly literature on AI, Fintech, and sustainability practices, a bibliometric keyword analysis is carried out using Web of Science and VOSviewer. Sustainability components like transparency and perceived accountability are added to this framework, which has its roots in the Value-Based Adoption Model (VAM) and the Technology Acceptance Model (TAM). The results highlight AI's dual function of promoting sustainable growth and increasing Fintech efficiency. To further the integration of AI in sustainable Fintech management, the study emphasizes the necessity of multidisciplinary cooperation between specialists in sustainability, finance, and AI. This research adds significantly to the body of knowledge in academia and offers useful information to industry professionals and policymakers by linking the domains of artificial intelligence and sustainable Fintech.