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

Authors
  • Cao, Yuanyuan1
  • Li, Junjun1
  • Qin, Xinghong2, 3
  • Hu, Baoliang1
  • 1 (B.H.)
  • 2 School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China
  • 3 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China
Type
Published Article
Journal
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Publication Date
Sep 12, 2020
Volume
17
Issue
18
Identifiers
DOI: 10.3390/ijerph17186658
PMID: 32932679
PMCID: PMC7560067
Source
PubMed Central
Keywords
License
Green

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.

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