FINTECH AND DATA ENVELOPMENT ANALYSIS: A BIBLIOMETRIC MAPPING OF EFFICIENCY EVALUATION STUDIES
FINTECH AND DATA ENVELOPMENT ANALYSIS: A BIBLIOMETRIC MAPPING OF EFFICIENCY EVALUATION STUDIES

Summary/Abstract: Global financial services and markets have been thoroughlyredefined with the emergence of FinTech. The integration of these new financialtechnologies into the financial services and financial products have improvedthe process through which the users’ personal expectations are satisfied. Onthe one hand, these new technologies have the potential to enhance efficiency;on the other hand, they also present certain challenges. These challenges areparticularly evident in the ability of regulatory bodies to promptly adapt tothe rapidly changing fintech landscape. This paper presents a comprehensivebibliometric mapping of research at the intersection of Financial Technolo-gy (FinTech) and Data Envelopment Analysis (DEA), focusing on efficiencyevaluation within financial innovation. Using the PRISMA framework and theBibliometrix R-tool, 386 Scopus-indexed publications were systematically an-alyzed to identify intellectual structures, thematic trends, and key contributorsin this emerging field. The results reveal that research on FinTech efficiency isgrowing in scope and methodological sophistication, with DEA serving as adominant analytical approach for measuring productivity, performance, andsustainability. China emerges as the leading country in terms of publicationoutput and citation impact, while core themes such as efficiency, productivity,technical efficiency, and sustainable development dominate the scholarly land-scape. The analysis highlights a gradual shift from traditional efficiency as-sessments toward more integrated approaches that incorporate digital innovation, environmental considerations, and policy relevance. By mapping researchevolution and identifying knowledge gaps, this study offers valuable insightsfor academics, practitioners, and policymakers aiming to enhance the efficien-cy and resilience of FinTech ecosystems through data-driven methodologies

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