Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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Understanding User's Continuous Use of Financial Technology Products

  • Wanchao Liu (School of Management, Wuhan Textile University) ;
  • Huosong Xia (School of Management, Wuhan Textile University) ;
  • Jian Mou (School of Business, Pusan National University)
  • Received : 2020.12.20
  • Accepted : 2021.06.21
  • Published : 2021.06.30
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Abstract

Online financial technology products are an important consumer finance innovation. While a large body of previous research has focused on initial adoption and consumer willingness to use these products, little research explores the continued use of these products beyond the initial adoption phase. In particular, special attention should be paid to how users' trust and perceptions of privacy and security affect continued use behavior. This paper integrates the expectation confirmation model of information system continuance (ECM-ISC), the information system success model (ISSM) and the security and trust literatures to investigate continued use of online financial technology. To test the research model, we collected 398 valid questionnaires from Ant Credit Pay users. The research results show that system and service quality positively impact users' expectation confirmation, while information quality has no significant impact. Expectation confirmation and perceived usefulness positively affect user satisfaction. Moreover, the user's perception of privacy and security plays a vital role in user satisfaction. Satisfaction and perceived trust jointly promote users' continuance behaviors. Findings of this study indicates the importance of the information system success factors and security factors due to their influence on the continued use of Fintech products. This conclusion has implications for enterprises in improving the product qualities and enhancing the degree of security to meet user needs.

Keywords

Acknowledgement

This research was supported by the National Natural Science Foundation of China : (NSFC, 71871172), namely "Model of risk knowledge acquisition and platform governance in Fintech based on deep learning". In addition, we deeply appreciate the comments from the fellow members of Dr. Xia's project team and research center of Enterprise Decision Support, Key Research Institute of Humanities and Social Sciences in Universities of Hubei Province (DSS2021).

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