Despite extensive research on financial literacy and financial decision-making, the scholarly literature remains conceptually fragmented, particularly regarding how behavioral biases mediate or moderate the relationship between knowledge and financial behavior. The existing literature often focuses on financial literacy or behavioral biases in isolation, limiting a systematic understanding of their interaction. This study addresses this gap by conducting a bibliometric analysis of research at the intersection of financial literacy, behavioral finance, and decision-making. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we analyzed 267 peer-reviewed publications indexed in Web of Science and Scopus over the period 2010–2025 using the Bibliometrix 5.2.1 R package and VOSviewer 1.6.20 for co-occurrence, thematic clustering, and trend analysis. The results identify three interconnected research clusters: (i) socio-demographic and educational determinants of financial literacy, (ii) cognitive and behavioral biases influencing financial decision processes, and (iii) applied investment decision contexts. Overconfidence and herding dominate the literature, whereas biases such as framing, mental accounting, and intertemporal inconsistency remain comparatively underexplored. The analysis further reveals a post-2022 surge in publications, increasing internationalization, and emerging integration of digital finance and artificial intelligence themes. By systematically mapping the intellectual structure of this research domain, this study clarifies theoretical fragmentation, identifies under-researched behavioral mechanisms, and provides an evidence-based framework to guide future interdisciplinary and policy-relevant research on how financial literacy translates into financial behavior.
Mandić et al. (Wed,) studied this question.