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Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption

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  • Tsai, Juin-Ming
  • Cheng, Min-Jhih
  • Tsai, Her-Her
  • Hung, Shiu-Wan
  • Chen, Ya-Ling

Abstract

Telehealth can be used to develop innovative healthcare services for promoting medical quality and efficiency. Despite previous research on users’ adoption intention of telehealth, users’ acceptance and resistance have rarely been considered at the same time. This study used a research model based on the dual-factor concepts of “enablers” and “inhibitors” to explain users’ intentions to utilize telehealth. We extended the Technology Acceptance Model and Status Quo Bias with the technology anxiety concept to explain why patients accept or reject the use of telehealth from the perceived enablers and inhibitors of intentions. The experimental results demonstrated users’ ambiguous and indecisive intentions of adopting telehealth. It was also found that availability and perceived usefulness are the main factors that encourage individuals to adopt telehealth services. Technology anxiety and transition costs are the key factors in discouraging people from using telehealth. Technology anxiety could be overcome through the perceived usefulness to promote the adoption of telehealth.

Suggested Citation

  • Tsai, Juin-Ming & Cheng, Min-Jhih & Tsai, Her-Her & Hung, Shiu-Wan & Chen, Ya-Ling, 2019. "Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption," International Journal of Information Management, Elsevier, vol. 49(C), pages 34-44.
  • Handle: RePEc:eee:ininma:v:49:y:2019:i:c:p:34-44
    DOI: 10.1016/j.ijinfomgt.2019.03.003
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    Cited by:

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    2. Tao Zhang & Chao Feng & Hui Chen & Junjie Xian, 2022. "Calming the customers by AI: Investigating the role of chatbot acting-cute strategies in soothing negative customer emotions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2277-2292, December.
    3. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Yuanyuan Cao & Junjun Li & Xinghong Qin & Baoliang Hu, 2020. "Examining the Effect of Overload on the MHealth Application Resistance Behavior of Elderly Users: An SOR Perspective," IJERPH, MDPI, vol. 17(18), pages 1-23, September.
    5. Iqbal, Qaisar & Piwowar-Sulej, Katarzyna, 2024. "Technological social responsibility: A stakeholder theory-based measurement scale," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    6. Koundre Aime Dieudonné Bah, 2024. "Assessing the Potential of Digital Tools to Enhance Transparency and Traceability in The Cocoa Value Chain in Ivory Coast," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3), pages 2751-2780, March.
    7. Chen, Chia-Chen & Chang, Chin-Hsuan & Hsiao, Kuo-Lun, 2022. "Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    8. Zaki Irfan Al Hafizh & Anas Hidayat, 2022. "The role of digital payment benefits toward switching consumer behavior in the case of OVO application," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(7), pages 23-34, October.
    9. Kumari, Pooja & Shankar, Amit & Behl, Abhishek & Pereira, Vijay & Yahiaoui, Dorra & Laker, Benjamin & Gupta, Brij B. & Arya, Varsha, 2024. "Investigating the barriers towards adoption and implementation of open innovation in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    10. Cannavacciuolo, Lorella & Capaldo, Guido & Ponsiglione, Cristina, 2023. "Digital innovation and organizational changes in the healthcare sector: Multiple case studies of telemedicine project implementation," Technovation, Elsevier, vol. 120(C).
    11. Chakraborty, Debarun & Kumar Kar, Arpan & Patre, Smruti & Gupta, Shivam, 2024. "Enhancing trust in online grocery shopping through generative AI chatbots," Journal of Business Research, Elsevier, vol. 180(C).
    12. Petcharat, Thanatchaphan & Jattamart, Aungkana & Leelasantitham, Adisorn, 2023. "A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    13. Ong, Ardvin Kester S. & Kurata, Yoshiki B. & Castro, Sophia Alessandra D.G. & De Leon, Jeanne Paulene B. & Dela Rosa, Hazel V. & Tomines, Alex Patricia J., 2022. "Factors influencing the acceptance of telemedicine in the Philippines," Technology in Society, Elsevier, vol. 70(C).
    14. John Coffie Azamela & Zhiwei Tang & Owusu Ackah & Swanzy Awozum, 2022. "Assessing the Antecedents of E-Government Adoption: A Case of the Ghanaian Public Sector," SAGE Open, , vol. 12(2), pages 21582440221, May.
    15. Nadine Ostern & Guido Perscheid & Caroline Reelitz & Jürgen Moormann, 2021. "Keeping pace with the healthcare transformation: a literature review and research agenda for a new decade of health information systems research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 901-921, December.

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