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Should I scan my face? The influence of perceived value and trust on Chinese users' intention to use facial recognition payment

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  • Hu, Bo
  • Liu, Yu-li
  • Yan, Wenjia

Abstract

Drawing on the perspectives of perceived value and trust, this study examines the factors affecting Chinese users' intention to use facial recognition payment (FRP) service. Data collected from 1200 Chinese mobile payment users is analyzed by using structural equation modelling. Results show that convenience positively influences perceived value; privacy risk and financial risk negatively influence perceived value. Only privacy risk and financial risk can significantly affect trust in FRP. Novelty has no significant effect on perceived value and trust. It is also found that perceived value positively influences trust, and both perceived value and trust are factors positively affecting intention to use FRP. Information sensitivity moderates the relationship between perceived value and intention to use FRP. Theoretical implications and practical implications are discussed.

Suggested Citation

  • Hu, Bo & Liu, Yu-li & Yan, Wenjia, 2021. "Should I scan my face? The influence of perceived value and trust on Chinese users' intention to use facial recognition payment," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238028, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb21:238028
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    as
    1. de Kerviler, Gwarlann & Demoulin, Nathalie T.M. & Zidda, Pietro, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 334-344.
    2. Im, Subin & Bhat, Subodh & Lee, Yikuan, 2015. "Consumer perceptions of product creativity, coolness, value and attitude," Journal of Business Research, Elsevier, vol. 68(1), pages 166-172.
    3. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    4. Gordon Xu & Jairo A. Gutierrez, 2006. "An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 4(3), pages 63-79, July.
    5. Zhong, Yongping & Oh, Segu & Moon, Hee Cheol, 2021. "Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model," Technology in Society, Elsevier, vol. 64(C).
    6. Talwar, Shalini & Dhir, Amandeep & Khalil, Ashraf & Mohan, Geetha & Islam, A.K.M. Najmul, 2020. "Point of adoption and beyond. Initial trust and mobile-payment continuation intention," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    7. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    8. Mombeuil, Claudel, 2020. "An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    9. Mohammad Hamdi Al Khasawneh & Omar Hujran & Tariq Abdrabbo, 2018. "A quantitative examination of the factors that influence users' perceptions of trust towards using mobile banking services," International Journal of Internet Marketing and Advertising, Inderscience Enterprises Ltd, vol. 12(2), pages 181-207.
    10. Sang Joon Ahn & Seong Ho Lee, 2019. "The Effect of Consumers’ Perceived Value on Acceptance of an Internet-Only Bank Service," Sustainability, MDPI, vol. 11(17), pages 1-9, August.
    11. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    12. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    13. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    14. Grewal, Dhruv & Gotlieb, Jerry & Marmorstein, Howard, 1994. "The Moderating Effects of Message Framing and," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 145-153, June.
    15. Chang, En-Chi & Tseng, Ya-Fen, 2013. "Research note: E-store image, perceived value and perceived risk," Journal of Business Research, Elsevier, vol. 66(7), pages 864-870.
    16. Gwarlann de Kerviler & Nathalie Demoulin & Pietro Zidda, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Post-Print hal-01526066, HAL.
    17. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, March.
    18. Chandra Sekhar Patro, 2019. "Influence of Perceived Benefits and Risks on Consumers' Perceived Value in Online Shopping: An Empirical Study," International Journal of Applied Behavioral Economics (IJABE), IGI Global, vol. 8(3), pages 12-36, July.
    19. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
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    Keywords

    facial recognition payment; perceived value; trust; intention to use;
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