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Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps

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  • Yumei Luo

    (College of Business and Tourism Management, Yunnan University, Kunming 650091, China)

  • Guiping Wang

    (College of Business and Tourism Management, Yunnan University, Kunming 650091, China)

  • Yuwei Li

    (College of Business and Tourism Management, Yunnan University, Kunming 650091, China)

  • Qiongwei Ye

    (Business School, Yunnan University of Finance and Economics, Kunming 650221, China)

Abstract

M-health apps have developed rapidly and are widely accepted, but users’ continued intention to use m-health apps has not been fully explored. This study was designed to obtain a better understanding of users’ continued intention to use m-health apps. We developed a theoretical model by incorporating the protection motivation theory and network externalities and conducted an empirical study of a 368-respondent sample. The results showed that: (1) perceived vulnerability has a direct impact on users’ self-efficacy and response efficacy; (2) self-efficacy and response efficacy have a direct impact on users’ attitudes and continued intention; (3) network externalities affect users’ attitudes and continued intention, among which direct network externalities have an indirect impact on users’ continued intention through attitude; and (4) the impacts of self-efficacy, response efficacy, and indirect network externalities on continued intention are partially meditated by attitudes.

Suggested Citation

  • Yumei Luo & Guiping Wang & Yuwei Li & Qiongwei Ye, 2021. "Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps," IJERPH, MDPI, vol. 18(11), pages 1-17, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5684-:d:562340
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    References listed on IDEAS

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    3. Henner Gimpel & Tobias Manner-Romberg & Fabian Schmied & Till J. Winkler, 2021. "Understanding the evaluation of mHealth app features based on a cross-country Kano analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 765-794, December.
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    6. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
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    Cited by:

    1. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Yanmei Jiang & Antonio K. W. Lau, 2023. "Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    3. Chia-Ying Li & Yu-Hui Fang, 2022. "Go Green, Go Social: Exploring the Antecedents of Pro-Environmental Behaviors in Social Networking Sites beyond Norm Activation Theory," IJERPH, MDPI, vol. 19(21), pages 1-25, November.
    4. Jianfei Cao & Karin Kurata & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model," IJERPH, MDPI, vol. 19(22), pages 1-16, November.

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