Research on factors identification in FinTech acceptance: Lithuania context

Abstract

The paper aims are to identify factors that have the influence on FinTech services acceptance in Lithuania. In order to collect the questionnaire data, several models and analyses were used: technology acceptance model (TAM), structural equation modeling, exploratory and confirmatory factor analysis, path analysis, and visualization. The study results state that perceived usefulness and trust in services have a statistically significant effect on consumers’ attitudes towards financial technologies.