Research on the Impact of Digital Payment Product Usage on Continued Usage Intention Based on SEM Model Technology

DOI

10.2991/978-94-6463-886-8_10How to use a DOI?

Keywords

digital payments; convenience; economics; continuance intention to use

Abstract

With the rapid development of the digital economy, the penetration rate of digital payments in my country has increased significantly. This study conducted the following research based on the actual situation and drew the following conclusions.

The research confirms that system convenience, cost-effectiveness, and social influence are key factors affecting users’ continuous usage intention of digital payment products. To explore these factors, a questionnaire was distributed to users of WeChat Pay, a widely used digital payment platform in China, and a dataset of 390 valid responses was collected and analyzed using the Smart-PLS structural equation modeling method.

From a technological standpoint, the study also acknowledges that the design and operation of digital payment systems are deeply rooted in computer science and information technologies. These systems rely on real-time data processing, secure encryption algorithms, cloud-based computing infrastructure, and machine learning models for fraud detection and credit scoring. Such technological underpinnings contribute to the overall convenience and security perceived by users. According to the analysis results: (1) convenience, economy, and social influence all significantly impact users’ willingness to continue using digital payment products; (2) among these, technological convenience is the most influential factor (β = 0.366, T = 2.170), followed by social influence (β = 0.298, T = 3.305), and economy (β = 0.177, T = 32.170). These findings underscore the essential role of computer technology in shaping digital financial behavior in modern society.

To provide a holistic understanding, this paper also delves into the core computer technologies underpinning digital payment systems—covering distributed service architectures, real-time transaction processing engines, cryptographic algorithms, and machine learning–driven risk-control models—to analyze their influence on perceived convenience and security.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiaqi Lu
AU  - Zhihui Yang
AU  - Junming Shui
PY  - 2025
DA  - 2025/11/06
TI  - Research on the Impact of Digital Payment Product Usage on Continued Usage Intention Based on SEM Model Technology
BT  - Proceedings of the 5th International Conference on Internet Finance and Digital Economy (ICIFDE 2025)
PB  - Atlantis Press
SP  - 85
EP  - 92
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-886-8_10
DO  - 10.2991/978-94-6463-886-8_10
ID  - Lu2025
ER  -