Determinants of Financial Technology (Fin-Tech) Adoption in Agrarian Economy of Developing Nation: A Bibliometric Analysis

The adoption of financial technology (fintech) in developing countries' agricultural economies is examined in this paper through an extensive bibliometric analysis. By employing keyword co-occurrence analysis and VOSviewer software, we were able to create bibliometric maps that disclosed commonly used phrases and their relationships. Grouping related concepts using cluster analysis allowed for the representation of individual study themes inside the larger topic in each cluster. The technological infrastructure, financial literacy, regulatory environment, pricing value, performance expectancy, convenience, hedonic motivation, and socioeconomic difficulties are among the major elements influencing the adoption of fintech, as determined by our analysis of the resulting bibliometric maps and clusters. The bibliometric study's conclusions have a number of significant ramifications for managers and decision-makers in the fintech sector of emerging nations' agricultural economy. This approach showed how useful VOSviewer is for giving a methodical and aesthetically appealing depiction of the study domain, indicating areas that require more investigation and facilitating a thorough grasp of the state of the subject as it stands today. By identifying important variables and obstacles, the study seeks to offer insightful information that will promote the adoption of fintech and advance financial inclusion in the rural economies of developing countries.