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Enhancing user experience in digital payments: A hybrid approach using SEM and neural networks

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  • Ma, Chao
  • Wu, Jingyi
  • Sun, Heyuan
  • Zhou, Xin
  • Sun, Xiyan

Abstract

This article proposes a hybrid approach utilizing Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) techniques to predict and enhance user experience (UX) in digital payments. The study introduces a novel Technology Acceptance Model to predict the critical factors influencing users' adoption of digital currencies and subsequently improve their experience. The research findings reveal that perceived ease of use and perceived usefulness significantly influence attitudes towards adopting digital currencies. Furthermore, the accuracy of the SEM results is confirmed through the implementation of the Artificial Neural Network. These conclusions hold significant implications for the future promotion of digital currencies.

Suggested Citation

  • Ma, Chao & Wu, Jingyi & Sun, Heyuan & Zhou, Xin & Sun, Xiyan, 2023. "Enhancing user experience in digital payments: A hybrid approach using SEM and neural networks," Finance Research Letters, Elsevier, vol. 58(PB).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323007481
    DOI: 10.1016/j.frl.2023.104376
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    References listed on IDEAS

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    1. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    2. Ioanna Roussou & Emmanouil Stiakakis & Angelo Sifaleras, 2019. "An empirical study on the commercial adoption of digital currencies," Information Systems and e-Business Management, Springer, vol. 17(2), pages 223-259, December.
    3. Chanchai Phonthanukitithaworn & Carmine Sellitto & Michelle W. L. Fong, 2016. "A Comparative Study of Current and Potential Users of Mobile Payment Services," SAGE Open, , vol. 6(4), pages 21582440166, November.
    4. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    5. Balapour, Ali & Nikkhah, Hamid Reza & Sabherwal, Rajiv, 2020. "Mobile application security: Role of perceived privacy as the predictor of security perceptions," International Journal of Information Management, Elsevier, vol. 52(C).
    6. Bo Qu & Li Wei & Yujia Zhang, 2022. "Factors affecting consumer acceptance of electronic cash in China: an empirical study," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
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    Cited by:

    1. An, Ling & Wang, Yaohua & Yan, Yan & Ma, Chao, 2024. "The role of emotional factors in the acceptance of digital currency: An extended study of a technology acceptance model," Finance Research Letters, Elsevier, vol. 62(PA).

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