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Making Mobile Health Information Advice Persuasive: An Elaboration Likelihood Model Perspective

Making Mobile Health Information Advice Persuasive: An Elaboration Likelihood Model Perspective

Jinjin Song, Yan Li, Xitong Guo, Kathy Ning Shen, Xiaofeng Ju
Copyright: © 2022 |Volume: 34 |Issue: 4 |Pages: 22
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781799893271|DOI: 10.4018/JOEUC.287573
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MLA

Song, Jinjin, et al. "Making Mobile Health Information Advice Persuasive: An Elaboration Likelihood Model Perspective." JOEUC vol.34, no.4 2022: pp.1-22. http://doi.org/10.4018/JOEUC.287573

APA

Song, J., Li, Y., Guo, X., Shen, K. N., & Ju, X. (2022). Making Mobile Health Information Advice Persuasive: An Elaboration Likelihood Model Perspective. Journal of Organizational and End User Computing (JOEUC), 34(4), 1-22. http://doi.org/10.4018/JOEUC.287573

Chicago

Song, Jinjin, et al. "Making Mobile Health Information Advice Persuasive: An Elaboration Likelihood Model Perspective," Journal of Organizational and End User Computing (JOEUC) 34, no.4: 1-22. http://doi.org/10.4018/JOEUC.287573

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Abstract

As M-Health apps become more popular, users can access more mobile health information (MHI) through these platforms. Yet one preeminent question among both researchers and practitioners is how to bridge the gap between simply providing MHI and persuading users to buy into the MHI for health self-management. To solve this challenge, this study extends the Elaboration Likelihood Model to explore how to make MHI advice persuasive by identifying the important central and peripheral cues of MHI under individual difference. The proposed research model was validated through a survey. The results confirm that (1) both information matching and platform credibility, as central and peripheral cues, respectively, have significant positive effects on attitudes toward MHI, but only information matching could directly affect health behavior changes; (2) health concern significantly moderates the link between information matching and cognitive attitude and only marginally moderates the link between platform credibility and attitudes. Theoretical and practical implications are also discussed.