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Examining the Effect of Overload on the MHealth Application Resistance Behavior of Elderly Users: An SOR Perspective

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  • Yuanyuan Cao

    (School of Management, Hangzhou Dianzi University, Hangzhou 310038, China)

  • Junjun Li

    (School of Management, Hangzhou Dianzi University, Hangzhou 310038, China)

  • Xinghong Qin

    (School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China
    School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Baoliang Hu

    (School of Management, Hangzhou Dianzi University, Hangzhou 310038, China)

Abstract

Aging has increased the burden of social medical care. Mobile health (mHealth) services provide an effective way to alleviate this pressure. However, the actual usage of mHealth services for elderly users is still very low. The extant studies mainly focused on elderly users’ mHealth adoption behavior, but resistance behavior has not been sufficiently explored by previous research. A present study tried to remedy this research gap by examining the effect of overload factors on the mHealth application resistance behavior based on the stimulus-organism-response (SOR) framework. The results indicated that information overload and system feature overload of an mHealth application increased the fatigue and technostress of the elderly user, which further increased their resistance behavior. Meanwhile, we integrated the intergeneration support with the SOR model to identify the buffer factor of the elderly user’s resistance behavior. The results showed that intergenerational support not only directly decrease the elderly user’s mHealth application resistance behavior, but also moderates (weaken) the effects of fatigue and technostress on resistance behavior. The present study also provided several valuable theoretical and practical implications.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6658-:d:412728
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    2. Chen Yingyi & Rosita binti Mohd Tajuddin & Amer Shakir Zainol & Yu Suxia & Chen Zijie, 2024. "Toward Understanding Elderly Consumers’ Impulse Buying in the Digital Marketing: A Conceptual Paper," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(12), pages 3387-3398, December.
    3. 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.
    4. Hannah Ramsden Marston & Linda Shore & P.J. White, 2020. "How does a (Smart) Age-Friendly Ecosystem Look in a Post-Pandemic Society?," IJERPH, MDPI, vol. 17(21), pages 1-43, November.
    5. Yizhi Liu & Xuan Lu & Chengjiang Li & Gang Zhao, 2022. "The Influence of Content Presentation on Users’ Intention to Adopt mHealth Applications: Based on the S-O-R Theoretical Model," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    6. 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.

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