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Consumer use intention of online financial products: the Yuebao example

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Listed:
  • Huosong Xia

    (Wuhan Textile University)

  • Zhe Hou

    (Wuhan Textile University)

Abstract

Drawing on a valence framework and innovation diffusion theory, this study examines Yuebao deployment to model consumers’ intention to use financial products offered online. We collect data via an online survey among a young age bracket and use a VisualPLS graphic interface to test our model. The results indicate that first, compatibility and advantages in relative utility significantly enhance consumers’ use intentions and that ease of use has an indirect influence. Second, the negative utility of perceived risk no longer significantly affects intention to use. This mainly lies in consumers’ perceived risk focused on the security of online financial products, which has become a part of all online transactions. Third, trust indirectly affects intention to use by influencing utility.

Suggested Citation

  • Huosong Xia & Zhe Hou, 2016. "Consumer use intention of online financial products: the Yuebao example," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-12, December.
    • Handle: RePEc:spr:fininn:v:2:y:2016:i:1:d:10.1186_s40854-016-0041-x
    DOI: 10.1186/s40854-016-0041-x
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    References listed on IDEAS

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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Ostlund, Lyman E, 1974. "Perceived Innovation Attributes as Predictors of Innovativeness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(2), pages 23-29, Se.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    5. Peter, J Paul & Tarpey, Lawrence X, Sr, 1975. "A Comparative Analysis of Three Consumer Decision Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(1), pages 29-37, June.
    6. Patrick Biernacki & Dan Waldorf, 1981. "Snowball Sampling: Problems and Techniques of Chain Referral Sampling," Sociological Methods & Research, , vol. 10(2), pages 141-163, November.
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    Cited by:

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    3. Yinhong Yao & Jianping Li, 2022. "Operational risk assessment of third-party payment platforms: a case study of China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.
    4. Yuh-Jen Chen & Yuh-Min Chen & Yu-Jen Hsu & Jyun-Han Wu, 2019. "Predicting Consumers’ Decision-Making Styles by Analyzing Digital Footprints on Facebook," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 601-627, March.
    5. Xiao Qian Wu & Ching Seng Yap & Poh Ling Ho, 2022. "Use of Digital Finance Platforms for Personal Finance Management in Rural China: Antecedents and Consequences," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 20(1), pages 1-22, January.

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