Investigating Fintech Service Adoption using Extended-ECM

This paper aims to investigate the Fintech Service Acceptance on Student in Indonesia. The investigating of acceptance employs extended-ECM reveal student’s perception usefulness, confirmation, and satisfaction using fintech service. extend Expectation–confirmation model (ECM) technological self-efficacy (TSE) perceived ease use is used this research adoption study area. also adds trust factor fit up investigation 302 questionnaires from respondents are tested SmartPLS point significantly factors proposed model. results that ECM most powerful service study. interesting result came TSE as a predicted for confirmation not usefulness. have recommendation developer application. They must aware users.