Research on Factors Identification in FinTech Acceptance: Lithuania Context
Research on Factors Identification in FinTech Acceptance: Lithuania Context
Author(s): Samanta Graužinienė, Dovilė KuizinienėSubject(s): Economy, Financial Markets
Published by: Vytauto Didžiojo Universitetas
Keywords: Confirmatory factor analysis; Exploratory factor analysis; Financial technologies; FinTech; Structural Equation Modeling; Technology acceptance model;
Summary/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.
Journal: Taikomoji ekonomika: sisteminiai tyrimai
- Issue Year: 14/2020
- Issue No: 1
- Page Range: 41-57
- Page Count: 17
- Language: English
