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

Tubagus Asep Nurdin
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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.
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金融科技支付持续意向评估——一个整合期望确认模型
本研究旨在找出影响用户继续使用金融科技支付应用的因素。为实现这一目标,在大流行期间使用谷歌表单对361名FinTech用户进行了在线问卷调查。期望-确认模型(ECM)扩展到包括感知信任、社会影响和功能效益,并用于分析从调查中获得的数据。研究结果表明,使用后对应用程序的先验期望确认和感知有用性对于增加用户继续使用服务的意愿至关重要。此外,感知信任和社会影响力正向影响用户继续使用服务的意愿,并可通过个性化体验和积极互动来增强。本研究为金融科技支付领域的研究人员和从业者提供了有价值的见解。
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