Journal of Applied Data Sciences
Vol 4, No 3: SEPTEMBER 2023

Assessing of The Continuance Intentions to Use Fintech Payments, an Integrating Expectation Confirmation Model

Tubagus Asep Nurdin (Faculty of Computer Science, Institut Teknologi Tangerang Selatan, Indonesia)
Mohammad Benny Alexandri (Faculty of Social and Political Sciences, Padjadjaran University, Indonesia)
Widya Sumadinata (Faculty of Social and Political Sciences, Padjadjaran University, Indonesia)
Ria Arifianti (Faculty of Social and Political Sciences, Padjadjaran University, Indonesia)



Article Info

Publish Date
04 Aug 2023

Abstract

This study aims to identify the factors influencing users' continuance intention to use FinTech payment applications. An online questionnaire was administered to 361 FinTech users during the pandemic using Google Forms to achieve the objective. The Expectation-Confirmation Model (ECM) was extended to include perceived trust, social influence, and functional benefits and was used to analyze the data obtained from the survey. The study results indicate that prior expectation confirmation and perceived usefulness of the application after use are crucial for increasing users' continuance intention to use the service. Additionally, perceived trust and social influence positively influence users' continuance intention to use the service and can be strengthened through personalized experiences and positive interactions. This study provides valuable insights for researchers and practitioners in the field of FinTech payments.

Copyrights © 2023






Journal Info

Abbrev

JADS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...