Research on factors identification in FinTech acceptance: Lithuania context

Authors

  • Samanta Graužinienė Vytautas Magnus University
  • Dovilė Kuizinienė Vytautas Magnus University

DOI:

https://doi.org/10.7220/AESR.2335.8742.2020.14.1.3

Keywords:

Confirmatory factor analysis, Exploratory factor analysis, Financial technologies, FinTech, Structural Equation Modeling, Technology acceptance model

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.

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Published

2021-02-22

Issue

Section

International Economics and Trade, Transition Economies