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Investigation on users’ resistance intention to facial recognition payment: a perspective of privacy

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Listed:
  • Xusen Cheng

    (Renmin University of China)

  • Liyang Qiao

    (Renmin University of China)

  • Bo Yang

    (Renmin University of China)

  • Xiaoping Zhang

    (Renmin University of China)

Abstract

Despite the convenience of facial recognition payment (FRP), many consumers hesitate to use FRP. Drawing on the antecedent-privacy concern-outcome (APCO) macro model, this study investigates antecedents of privacy concerns and privacy fatigue in the context of FRP and how privacy concerns and privacy fatigue influence user’s resistance intention of FRP. A mixed-methods is used to address these issues. A semi-structured interview is first used to identify the antecedents of privacy concerns and privacy fatigue for facial privacy information. According to the research results, we develop research hypotheses and build the research model. By analyzing survey data from 394 respondents using Amos, this study finds that privacy experience, privacy control, privacy policy effectiveness, peer influence, and reputation significantly influence users’ privacy concerns for facial privacy information; in addition, privacy experience, privacy control, and negative media exposure significantly influence users’ privacy fatigue. Moreover, privacy concerns and privacy fatigue are significantly related to users’ resistance intention to FRP.

Suggested Citation

  • Xusen Cheng & Liyang Qiao & Bo Yang & Xiaoping Zhang, 2024. "Investigation on users’ resistance intention to facial recognition payment: a perspective of privacy," Electronic Commerce Research, Springer, vol. 24(1), pages 275-301, March.
    • Handle: RePEc:spr:elcore:v:24:y:2024:i:1:d:10.1007_s10660-022-09588-y
    DOI: 10.1007/s10660-022-09588-y
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    1. Mittelstaedt, Robert A, et al, 1976. "Optimal Stimulation Level and the Adoption Decision Process," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 3(2), pages 84-94, Se.
    2. Caroline Lancelot Miltgen & H. Jeff Smith, 2015. "Exploring information privacy regulation, risks, trust, and behavior," Post-Print hal-01183703, HAL.
    3. 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).
    4. Okazaki, Shintaro & Eisend, Martin & Plangger, Kirk & de Ruyter, Ko & Grewal, Dhruv, 2020. "Understanding the Strategic Consequences of Customer Privacy Concerns: A Meta-Analytic Review," Journal of Retailing, Elsevier, vol. 96(4), pages 458-473.
    5. Caroline Lancelot Miltgen & H. Jeff Smith, 2015. "Exploring information privacy regulation, risks, trust, and behavior," Post-Print hal-02566634, HAL.
    6. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    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. Mary J. Culnan & Pamela K. Armstrong, 1999. "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation," Organization Science, INFORMS, vol. 10(1), pages 104-115, February.
    9. Krishen, Anjala S. & Raschke, Robyn L. & Close, Angeline G. & Kachroo, Pushkin, 2017. "A power-responsibility equilibrium framework for fairness: Understanding consumers' implicit privacy concerns for location-based services," Journal of Business Research, Elsevier, vol. 73(C), pages 20-29.
    10. Xusen Cheng & Linda Macaulay, 2014. "Exploring Individual Trust Factors in Computer Mediated Group Collaboration: A Case Study Approach," Group Decision and Negotiation, Springer, vol. 23(3), pages 533-560, May.
    11. John Mingers, 2001. "Combining IS Research Methods: Towards a Pluralist Methodology," Information Systems Research, INFORMS, vol. 12(3), pages 240-259, September.
    12. Moon, Youngme, 2000. "Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 323-339, March.
    13. 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.
    14. Ioannou, Athina & Tussyadiah, Iis & Lu, Yang, 2020. "Privacy concerns and disclosure of biometric and behavioral data for travel," International Journal of Information Management, Elsevier, vol. 54(C).
    15. 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).
    16. Kathy A. Stewart & Albert H. Segars, 2002. "An Empirical Examination of the Concern for Information Privacy Instrument," Information Systems Research, INFORMS, vol. 13(1), pages 36-49, March.
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