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Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model

Author

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  • Cheng-Chia Yang

    (Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan)

  • Shang-Yu Yang

    (Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan)

  • Yu-Chia Chang

    (Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan
    Department of Long Term Care, National Quemoy University, Kinmen County 892009, Taiwan)

Abstract

This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of 365 questionnaires were collected from older adults aged 55 years or older from 20 community care sites in central Taiwan. Partial least-squares structural equation modeling was used to test our research model. The results showed that attitude was the main determinant of M-payment in older adults. Moreover, increasing the usefulness, ease of use, and observability of M-payment helped older adults improve their attitudes toward M-payment, thereby increasing their intention to use it. Trust had a significant effect on the usefulness and ease of use of M-payment, while the main factors affecting trust were only performance and financial risks.

Suggested Citation

  • Cheng-Chia Yang & Shang-Yu Yang & Yu-Chia Chang, 2023. "Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1391-:d:1033276
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    References listed on IDEAS

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    1. Jiang, Yi & Wang, Xueqin & Yuen, Kum Fai, 2021. "Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    2. Choudrie, Jyoti & Junior, Chike-Obuekwe & McKenna, Brad & Richter, Shahper, 2018. "Understanding and conceptualising the adoption, use and diffusion of mobile banking in older adults: A research agenda and conceptual framework," Journal of Business Research, Elsevier, vol. 88(C), pages 449-465.
    3. 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.
    4. 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.
    5. Urvashi Tandon & Ravi Kiran & Ash N. Sah, 2018. "The influence of website functionality, drivers and perceived risk on customer satisfaction in online shopping: an emerging economy case," Information Systems and e-Business Management, Springer, vol. 16(1), pages 57-91, February.
    6. Kuo, Ren-Zong, 2020. "Why do people switch mobile payment service platforms? An empirical study in Taiwan," Technology in Society, Elsevier, vol. 62(C).
    7. Hanif, Yasmeen & Lallie, Harjinder Singh, 2021. "Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM - with perceived cyber security, risk, and tru," Technology in Society, Elsevier, vol. 67(C).
    8. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    9. Ahmet Bulent Ozturk & Khaldoon Nusair & Fevzi Okumus & Dipendra Singh, 2017. "Understanding mobile hotel booking loyalty: an integration of privacy calculus theory and trust-risk framework," Information Systems Frontiers, Springer, vol. 19(4), pages 753-767, August.
    10. Lian, Jiunn-Woei & Li, Ji, 2021. "The dimensions of trust:An investigation of mobile payment services in Taiwan," Technology in Society, Elsevier, vol. 67(C).
    11. Shuiqing Yang, 2016. "Role of transfer-based and performance-based cues on initial trust in mobile shopping services: a cross-environment perspective," Information Systems and e-Business Management, Springer, vol. 14(1), pages 47-70, February.
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    Cited by:

    1. Luiz Philipi Calegari & Guilherme Luz Tortorella & Diego Castro Fettermann, 2023. "Getting Connected to M-Health Technologies through a Meta-Analysis," IJERPH, MDPI, vol. 20(5), pages 1-33, February.
    2. Kamoliddin Murodjon ugli Mannonov & Seunghwan Myeong, 2024. "Citizens’ Perception of Blockchain-Based E-Voting Systems: Focusing on TAM," Sustainability, MDPI, vol. 16(11), pages 1-19, May.
    3. Yuqi Zhao & Young-Hwan Pan, 2023. "A Study of the Impact of Cultural Characteristics on Consumers’ Behavioral Intention for Mobile Payments: A Comparison between China and Korea," Sustainability, MDPI, vol. 15(8), pages 1-22, April.

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