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Mobile apps for healthy living: Factors influencing continuance intention for health apps

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  • Yan, Min
  • Filieri, Raffaele
  • Raguseo, Elisabetta
  • Gorton, Matthew

Abstract

The desire to maintain a healthy lifestyle is growing amongst consumers globally as well as the adoption of health apps. Prior research investigates what affects adoption of a health app, but few studies consider Continuance Intention (CI) for mobile health apps. Drawing on the Information Systems Continuance Model and integrating social (i.e. subjective norms) and psychological factors (i.e. flow experience, health consciousness, behavioral change techniques), we develop a framework testing the factors influencing users’ CI for health apps. The model is validated using PLS analysis and data from 397 health app users from China. The study finds that perceived usefulness, perceived ease of use, flow experience and behavioral change techniques are significant predictors of CI, and satisfaction mediates these effects. Health consciousness positively moderates the effect between perceived usefulness and satisfaction and negatively moderates the effect between perceived ease of use and satisfaction. Lessons for app developers, marketers and health practitioners are drawn.

Suggested Citation

  • Yan, Min & Filieri, Raffaele & Raguseo, Elisabetta & Gorton, Matthew, 2021. "Mobile apps for healthy living: Factors influencing continuance intention for health apps," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000767
    DOI: 10.1016/j.techfore.2021.120644
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    2. Perez-Aranda, Javier & González Robles, Eva M. & Alarcón Urbistondo, Pilar, 2023. "Understanding antecedents of continuance and revisit intentions: The case of sport apps," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
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    4. Olatunji A. Shobande & Lawrence Ogbeifun & Simplice A. Asongu, 2022. "Globalisation, technology and global health," Working Papers of the African Governance and Development Institute. 22/070, African Governance and Development Institute..
    5. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
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    7. Shaygan, Amir & Daim, Tugrul, 2023. "Technology management maturity assessment model in healthcare research centers," Technovation, Elsevier, vol. 120(C).
    8. 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.
    9. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
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