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

Author

Listed:
  • M. Yan
  • R. Filieri

    (Audencia Business School)

  • E. Raguseo
  • M. Gorton

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

  • M. Yan & R. Filieri & E. Raguseo & M. Gorton, 2021. "Mobile apps for healthy living: Factors influencing continuance intention for health apps," Post-Print hal-04779110, HAL.
    • Handle: RePEc:hal:journl:hal-04779110
    DOI: 10.1016/j.techfore.2021.120644
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    Cited by:

    1. Eunhye Kim & Semi Han, 2021. "Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model," IJERPH, MDPI, vol. 18(19), pages 1-19, October.
    2. Shaygan, Amir & Daim, Tugrul, 2023. "Technology management maturity assessment model in healthcare research centers," Technovation, Elsevier, vol. 120(C).
    3. 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.
    4. Olatunji A. Shobande & Lawrence Ogbeifun & Simplice A. Asongu, 2022. "Globalisation, technology and global health," Working Papers 22/070, European Xtramile Centre of African Studies (EXCAS).
    5. Yu Fu & Yuanyuan Wang & Xinhui Ye & Weifang Wu & Jianfeng Wu, 2023. "Satisfaction with and Continuous Usage Intention towards Mobile Health Services: Translating Users’ Feedback into Measurement," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    6. 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).
    7. Shaheer, Noman & Chen, Liang & Yi, Jingtao & Li, Sali & Su, Huiwen, 2024. "Network effects, word of mouth, and entry performance: A study of digital freemium products," Journal of World Business, Elsevier, vol. 59(6).
    8. Bellary, Sreevatsa & Bala, Pradip Kumar & Chakraborty, Shibashish, 2024. "Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    9. 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).
    10. Fuyong Lu & Xintao Wang & Siheng Li & Qun Zhao, 2023. "How Mobile Health Livingstreaming Engages the Consumer-Insights from a Dual-Process Model," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    11. Cenamor, Javier, 2022. "Use of health self-management platform features: The case of a specialist ehealth app," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    12. Najmul Hasan & Reajmin Sultana & Yukun Bao, 2022. "Re-Conceptualizing the Drivers Toward mHealth Adoption in a Least Developing Country: A Qualitative Exploration," SAGE Open, , vol. 12(2), pages 21582440221, April.
    13. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    14. Singh, Gaganpreet & Roy, Sanjit K. & Apostolidis, Chrysostomos & Quaddus, Mohammed & Sadeque, Saalem, 2025. "Identifying the metaverse value recipe(s) affecting customer engagement and well-being in retailing," Technological Forecasting and Social Change, Elsevier, vol. 210(C).

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