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Convenient or risky? Investigating the behavioral intention to use facial recognition payment in smart hospitals

Author

Listed:
  • Teng Yu

    (Guangzhou College of Commerce
    Universiti Sains Malaysia
    The Chinese University of Hong Kong
    Jinan University)

  • Ai Ping Teoh

    (Universiti Sains Malaysia)

  • Chengliang Wang

    (East China Normal University)

  • Qing Bian

    (Guangzhou College of Commerce)

Abstract

This study investigates the factors influencing users’ behavioral intention to adopt facial recognition payment (FRP) in smart hospitals, considering convenience and potential risks. The unified theory of acceptance and use of technology (UTAUT), the diffusion of innovations theory, and trust theory are employed to identify critical factors for promoting FRP adoption. A quantitative cross-sectional survey is conducted among smart hospital users in China, collecting 811 valid questionnaires, and the partial least squares structural equation method (PLS-SEM) is utilized for analysis. The results show that performance expectancy, effort expectancy, social influence, and facilitating conditions positively affect behavioral intention. Privacy concerns and perceived risks negatively impact trust in FRP, while familiarity enhances trust. Trust in FRP and personal innovativeness positively influence behavioral intention, with personal innovativeness moderating the trust-behavioral intention relationship. The findings emphasize the mediating role of trust in FRP and the importance of familiarity and personal innovativeness in driving FRP adoption. Gender (male or female) does not significantly impact the relationships and path coefficients in the model. However, slight discrepancies are observed between the permutation test and Henseler’s MGA in terms of the effect of privacy concerns on trust in FRP. This research contributes to the literature on users’ behavioral intentions, aiding smart hospitals in promoting FRP adoption while considering user concerns.

Suggested Citation

  • Teng Yu & Ai Ping Teoh & Chengliang Wang & Qing Bian, 2024. "Convenient or risky? Investigating the behavioral intention to use facial recognition payment in smart hospitals," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03910-9
    DOI: 10.1057/s41599-024-03910-9
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    1. Alzahrani, Latifa & Al-Karaghouli, Wafi & Weerakkody, Vishanth, 2017. "Analysing the critical factors influencing trust in e-government adoption from citizens’ perspective: A systematic review and a conceptual framework," International Business Review, Elsevier, vol. 26(1), pages 164-175.
    2. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    3. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    4. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    5. Sharma, Sujeet Kumar & Mangla, Sachin Kumar & Luthra, Sunil & Al-Salti, Zahran, 2018. "Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 52-63.
    6. J. Liao & S. He & W. Feng & R. Filieri, 2024. "“I Love It” Versus “I Recommend It”: The Impact of Implicit and Explicit Endorsement Styles on Electronic Word-of-Mouth Persuasiveness," Post-Print hal-04500383, HAL.
    7. DonHee Lee, 2019. "Effects of key value co-creation elements in the healthcare system: focusing on technology applications," Service Business, Springer;Pan-Pacific Business Association, vol. 13(2), pages 389-417, June.
    8. Michael Breward & Khaled Hassanein & Milena Head, 2017. "Understanding Consumers’ Attitudes Toward Controversial Information Technologies: A Contextualization Approach," Information Systems Research, INFORMS, vol. 28(4), pages 760-774, December.
    9. Marcati, Alberto & Guido, Gianluigi & Peluso, Alessandro M., 2008. "The role of SME entrepreneurs' innovativeness and personality in the adoption of innovations," Research Policy, Elsevier, vol. 37(9), pages 1579-1590, October.
    10. Park, JungKun & Gunn, Frances & Han, Sang-Lin, 2012. "Multidimensional trust building in e-retailing: Cross-cultural differences in trust formation and implications for perceived risk," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 304-312.
    11. 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).
    12. Hong, Areum & Nam, Changi & Kim, Seongcheol, 2020. "What will be the possible barriers to consumers’ adoption of smart home services?," Telecommunications Policy, Elsevier, vol. 44(2).
    13. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    14. Lin, Angela & Chen, Nan-Chou, 2012. "Cloud computing as an innovation: Percepetion, attitude, and adoption," International Journal of Information Management, Elsevier, vol. 32(6), pages 533-540.
    15. Benlian, Alexander & Hess, Thomas, 2011. "The Signaling Role of IT Features in Influencing Trust and Participation in Online Communities," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58026, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Kaufmann, Peter & Stagl, Sigrid & Franks, Daniel W., 2009. "Simulating the diffusion of organic farming practices in two New EU Member States," Ecological Economics, Elsevier, vol. 68(10), pages 2580-2593, August.
    17. Boluwaji A. Akinnuwesi & Faith-Michael E. Uzoka & Onyinye Sandra Okwundu & Gbenga Fashoto, 2016. "Exploring biometric technology adoption in a developing country context using the modified UTAUT," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 23(4), pages 482-521.
    18. Cho, Youngsang & Hwang, Junseok & Lee, Daeho, 2012. "Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 97-106.
    19. Hock-Han Tee & Hway-Boon Ong, 2016. "Cashless payment and economic growth," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-9, December.
    20. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    21. Sookeun Byun & Sang-Eun Byun, 2013. "Exploring perceptions toward biometric technology in service encounters: a comparison of current users and potential adopters," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(3), pages 217-230.
    22. Hajli, Nick & Sims, Julian & Zadeh, Arash H. & Richard, Marie-Odile, 2017. "A social commerce investigation of the role of trust in a social networking site on purchase intentions," Journal of Business Research, Elsevier, vol. 71(C), pages 133-141.
    23. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    24. Kim, Myung-Ja & Chung, Namho & Lee, Choong-Ki, 2011. "The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea," Tourism Management, Elsevier, vol. 32(2), pages 256-265.
    25. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    26. Jinxin Pan & Shuai Ding & Desheng Wu & Shanlin Yang & Jun Yang, 2019. "Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5801-5820, September.
    27. Jin, Xin & Weber, Karin, 2013. "Developing and testing a model of exhibition brand preference: The exhibitors' perspective," Tourism Management, Elsevier, vol. 38(C), pages 94-104.
    28. Samuele Lo Piano, 2020. "Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-7, December.
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