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Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret

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  • Brendan Chukwuemeka Ezeudoka

    (Jiangsu University)

  • Mingyue Fan

    (Jiangsu University)

Abstract

This study investigates the factors influencing user resistance to e-health services among older adults, focusing on the role of information inequality, digital distrust, low self-efficacy, perceived risk, and social influence. Structured questionnaires were used to gather data from 301 older adult participants, and the structural equation modeling method was used to analyze the results. The results show that digital distrust, perceived risk, and user resistance have a significant positive relationship, underscoring the significance of resolving trust and risk concerns in e-health interventions. The study also finds that the association between digital distrust and user resistance is moderated by anticipated regret, indicating that people who anticipate regretting not adopting electronic health services are less likely to oppose digital technologies despite their distrust. Surprisingly, the study did not find support for the hypothesized relationship between information inequality and user resistance, indicating the need for further exploration of this complex relationship. The study contributes to a better understanding of the factors influencing user resistance to e-health services among older adults, offering valuable insights for policymakers and practitioners seeking to promote the adoption of digital health technologies in aging populations.

Suggested Citation

  • Brendan Chukwuemeka Ezeudoka & Mingyue Fan, 2024. "Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-19, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03457-9
    DOI: 10.1057/s41599-024-03457-9
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    1. Richard Adeleke, 2021. "Digital divide in Nigeria: The role of regional differentials," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 13(3), pages 333-346, April.
    2. Prakash, Ashish Viswanath & Das, Saini, 2022. "Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study," International Journal of Information Management, Elsevier, vol. 63(C).
    3. Tianyang Huang, 2023. "Using SOR framework to explore the driving factors of older adults smartphone use behavior," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    4. Marine Cambefort & Elyette Roux, 2019. "A typology of the perceived risks in the context of consumer brand resistance," Post-Print hal-03513383, HAL.
    5. Bearden, William O & Netemeyer, Richard G & Teel, Jesse E, 1989. "Measurement of Consumer Susceptibility to Interpersonal Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 473-481, March.
    6. Grace Chua & Kum Fai Yuen & Xueqin Wang & Yiik Diew Wong, 2021. "The Determinants of Panic Buying during COVID-19," IJERPH, MDPI, vol. 18(6), pages 1-28, March.
    7. Chaouali, Walid & Ben Yahia, Imene & Souiden, Nizar, 2016. "The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 209-218.
    8. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    9. Junsik Kwak & Jongwon Park, 2012. "Effects of a regulatory match in sunk-cost effects: A mediating role of anticipated regret," Marketing Letters, Springer, vol. 23(1), pages 209-222, March.
    10. Ana Figueiredo, 2018. "Information Frictions in Education and Inequality," 2018 Meeting Papers 804, Society for Economic Dynamics.
    11. Daniela Caso & Valentina Carfora & Chiara Starace & Mark Conner, 2019. "Key Factors Influencing Italian Mothers’ Intention to Vaccinate Sons against HPV: The Influence of Trust in Health Authorities, Anticipated Regret and Past Behaviour," Sustainability, MDPI, vol. 11(23), pages 1-12, December.
    12. 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.
    13. Lilik N. Yuliati & Hasdevi A. Dradjat & Megawati Simanjuntak, 2020. "Online bike: Role of perceived technology, perceived risk, and institution-based trust on service usage via online trust," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1798067-179, January.
    14. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    15. Muhammad Farrukh Shahzad & Shuo Xu & Rimsha Baheer, 2024. "Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China’s education sector," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    16. Tim Klaus & J Ellis Blanton, 2010. "User resistance determinants and the psychological contract in enterprise system implementations," European Journal of Information Systems, Taylor & Francis Journals, vol. 19(6), pages 625-636, December.
    17. Matsuo, Makoto & Minami, Chieko & Matsuyama, Takuya, 2018. "Social influence on innovation resistance in internet banking services," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 42-51.
    18. Marine Cambefort & Elyette Roux, 2019. "A typology of the perceived risks in the context of consumer brand resistance," Post-Print hal-02492718, HAL.
    19. Mingyue Fan & Brendan Chukwuemeka Ezeudoka & Sikandar Ali Qalati, 2024. "Exploring the resistance to e-health services in Nigeria: an integrative model based upon the theory of planned behavior and stimulus-organism-response," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    20. Nisar Ahmed Dahri & Waleed Mugahed Al-Rahmi & Abeer S. Almogren & Noraffandy Yahaya & Muhammad Saleem Vighio & Qusay Al-maatuok & Ali Mugahed Al-Rahmi & Ahmad Samed Al-Adwan, 2023. "Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
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