IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03457-9.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03457-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03457-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. Marine Cambefort & Elyette Roux, 2019. "A typology of the perceived risks in the context of consumer brand resistance," Post-Print hal-03513383, HAL.
    3. 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.
    4. 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.
    5. 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.
    6. Ana Figueiredo, 2018. "Information Frictions in Education and Inequality," 2018 Meeting Papers 804, Society for Economic Dynamics.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Marine Cambefort & Elyette Roux, 2019. "A typology of the perceived risks in the context of consumer brand resistance," Post-Print hal-02492718, HAL.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Chakraborty, Debarun & Singu, Hari Babu & Patre, Smruti, 2022. "Fitness Apps's purchase behaviour: Amalgamation of Stimulus-Organism-Behaviour-Consequence framework (S–O–B–C) and the innovation resistance theory (IRT)," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    3. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    4. Khalifa, Dina & Shukla, Paurav, 2021. "When luxury brand rejection causes brand dilution," Journal of Business Research, Elsevier, vol. 129(C), pages 110-121.
    5. Liao, Junyun & Chen, Jiawen & Zhao, Haichuan & Li, Muhua, 2023. "Fanning the flames: Transmitting negative word of mouth of rival brands," Journal of Business Research, Elsevier, vol. 154(C).
    6. Fernandes, Semila & Venkatesh, V.G. & Panda, Rajesh & Shi, Yangyan, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    7. Chin-Wen Chang & Sheng-Hsiung Chang, 2023. "The Impact of Digital Disruption: Influences of Digital Media and Social Networks on Forming Digital Natives’ Attitude," SAGE Open, , vol. 13(3), pages 21582440231, August.
    8. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
    9. Zhang, Honghong & Fam, Kim-Shyan & Goh, Tiong-Thye & Dai, Xin, 2018. "When are influentials equally influenceable? The strength of strong ties in new product adoption," Journal of Business Research, Elsevier, vol. 82(C), pages 160-170.
    10. Mateja Kos Koklic & Monika Kukar-Kinney & Irena Vida, 2016. "Three-Level Mechanism of Consumer Digital Piracy: Development and Cross-Cultural Validation," Journal of Business Ethics, Springer, vol. 134(1), pages 15-27, March.
    11. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    12. Laurent Bertrandias & Paul-Emmanuel Pichon, 2004. "Enrichissements De La Conceptualisation Du Risque Social En Marketing Et Construction D'Une Echelle De Mesure," Post-Print hal-04097759, HAL.
    13. Swapan Deep Arora, 2024. "Consumer proactive empowerment: A systematic review and taxonomy development," AMS Review, Springer;Academy of Marketing Science, vol. 14(1), pages 104-121, June.
    14. Curina, Ilaria & Francioni, Barbara & Hegner, Sabrina M. & Cioppi, Marco, 2020. "Brand hate and non-repurchase intention: A service context perspective in a cross-channel setting," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    15. Lee, Julie Anne & Kacen, Jacqueline J., 2008. "Cultural influences on consumer satisfaction with impulse and planned purchase decisions," Journal of Business Research, Elsevier, vol. 61(3), pages 265-272, March.
    16. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    17. Oh, Ryeong & Kim, Seongcheol, 2024. "How Do Individuals' Risk Perception and Cognitive Factors Influence Their Intention to Misuse AI in Video Production?," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302478, International Telecommunications Society (ITS).
    18. Minh T. H. Le, 2023. "Does brand love lead to brand addiction?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 57-68, March.
    19. Kuo Cheng Chung & Silvia Wan-Ju Liang, 2020. "Understanding Factors Affecting Innovation Resistance of Mobile Payments in Taiwan: An Integrative Perspective," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    20. Valor, Carmen & Antonetti, Paolo & Zasuwa, Grzegorz, 2022. "Corporate social irresponsibility and consumer punishment: A systematic review and research agenda," Journal of Business Research, Elsevier, vol. 144(C), pages 1218-1233.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03457-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.