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

Author

Listed:
  • 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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    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. Choi, Yunwoo & Han, Sangpil & Lee, Changjun, 2024. "Exploring drivers of fintech adoption among elderly consumers," Technology in Society, Elsevier, vol. 78(C).
    3. Tianyang Huang & Gang Wang & Chiwu Huang, 2024. "What promotes the mobile payment behavior of the elderly?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    4. 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.
    5. 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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