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Understanding acceptance of eHealthcare by IoT natives and IoT immigrants : An integrated model of UTAUT, perceived risk, and financial cost

Author

Listed:
  • Wissal Ben Arfi

    (EDC - EDC Paris Business School)

  • Imed Ben Nasr

    (Excelia Group | La Rochelle Business School)

  • Tatiana Khvatova

    (EM - EMLyon Business School)

  • Younes Ben Zaied

    (EDC - EDC Paris Business School)

Abstract

The Internet of Things (IoT) is a modern disruptive technological approach that connects devices and people in a smart way at any time and at any place. The development of IoT is forecast to generate high economic value, improve efficiency of enterprises' operational processes, and benefit the personal and professional lives of its end users. This new model of human–technology interaction is under-researched, especially with regard to eHealth. The current study aims to close this research gap by investigating IoT adoption in eHealthcare from the customer perspective and by including financial cost in the extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The model is validated based on data collected from a randomly selected sample of 268 potential users of IoT-based healthcare devices in France. Structural modeling reveals that the cost of using IoT in eHealthcare is the key barrier to IoT adoption. Age is a significant mediator of customers' intention to use IoT in eHealthcare and inspires the formulation of two new categories: IoT natives and IoT immigrants. The findings have practical application for IoT developers, policymakers, and potentially for marketers.

Suggested Citation

  • Wissal Ben Arfi & Imed Ben Nasr & Tatiana Khvatova & Younes Ben Zaied, 2021. "Understanding acceptance of eHealthcare by IoT natives and IoT immigrants : An integrated model of UTAUT, perceived risk, and financial cost," Post-Print hal-03188218, HAL.
    • Handle: RePEc:hal:journl:hal-03188218
    DOI: 10.1016/j.techfore.2020.120437
    Note: View the original document on HAL open archive server: https://hal.science/hal-03188218
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    Cited by:

    1. Frishammar, Johan & Essén, Anna & Bergström, Frida & Ekman, Tilda, 2023. "Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. An Duong Thi Binh & Mohammadreza Akbari & Huong Le Thi Cam & Lam Nguyen Canh & Huy Truong Quang, 2024. "Forging Pathways to Circular Economy Excellence: Integrating Industry 4.0 with Quality Management," Sustainability, MDPI, vol. 16(7), pages 1-26, April.
    3. Xiong, Jie & Zuo, Meiyun, 2022. "Understanding factors influencing the adoption of a mobile platform of medical and senior care in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    4. Chang, Mona & Walimuni, Arachchilage C.S.M. & Kim, Min-cheol & Lim, Hwa-soon, 2022. "Acceptance of tourism blockchain based on UTAUT and connectivism theory," Technology in Society, Elsevier, vol. 71(C).
    5. Bamel, Umesh & Talwar, Shalini & Pereira, Vijay & Corazza, Laura & Dhir, Amandeep, 2023. "Disruptive digital innovations in healthcare: Knowing the past and anticipating the future," Technovation, Elsevier, vol. 125(C).
    6. Naeini, Ali Bonyadi & Zamani, Mehdi & Daim, Tugrul U. & Sharma, Mahak & Yalcin, Haydar, 2022. "Conceptual structure and perspectives on “innovation management”: A bibliometric review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    7. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Kevin Nguyen & Mohammadreza Akbari & Huy Truong Quang & Scott McDonald & Thu-Hang Hoang & Teck Lee Yap & Majo George, 2023. "Navigating Environmental Challenges through Supply Chain Quality Management 4.0 in Circular Economy: A Comprehensive Review," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    9. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    10. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Ponzoa, José M. & Gómez, Andrés & Villaverde, Silvia & Díaz, Vicente, 2021. "Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Binglong Zheng & Daniel Tse & Jiajing Ma & Xuanyi Lang & Yinli Lu, 2023. "An Empirical Study of SETA Program Sustaining Educational Sector’s Information Security vs. Information Systems Misuse," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    13. Hsing-Chun Hung & Yuh-Wen Chen, 2023. "Striving to Achieve United Nations Sustainable Development Goals of Taiwanese SMEs by Adopting Industry 4.0," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    14. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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