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Healthcare wearable devices: an analysis of key factors for continuous use intention

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  • Sang M. Lee

    (University of Nebraska-Lincoln)

  • DonHee Lee

    (Inha University)

Abstract

This study empirically examined the effects of internal and external factors on actual use behavior, health improvement expectancy, and continuous use intention of healthcare wearable devices. The study proposed a research model with its associated hypotheses that were tested using structural equation modeling. We also performed a comparative analysis of the two sample groups (medical personnel and general public), based on data collected from 288 healthcare wearable devices/apps users. The findings of the study indicated that internal and external factors have positive effects on actual use behavior, and health improvement expectancy and continuous use intention of healthcare wearable devices can be promoted through actual use behavior. The comparative analysis of the two groups showed that medical personnel had higher relationships among the study factors than general public. The study results shed theoretical and practical implications regarding how healthcare wearable devices or apps can be effectively used for disease prevention and health management for the users.

Suggested Citation

  • Sang M. Lee & DonHee Lee, 2020. "Healthcare wearable devices: an analysis of key factors for continuous use intention," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 503-531, December.
    • Handle: RePEc:spr:svcbiz:v:14:y:2020:i:4:d:10.1007_s11628-020-00428-3
    DOI: 10.1007/s11628-020-00428-3
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    6. Uzir, Md Uzir Hossain & Al Halbusi, Hussam & Lim, Rodney & Jerin, Ishraq & Abdul Hamid, Abu Bakar & Ramayah, Thurasamy & Haque, Ahasanul, 2021. "Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19," Technology in Society, Elsevier, vol. 67(C).
    7. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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    10. Santos-Vijande, María Leticia & Gómez-Rico, Mar & Molina-Collado, Arturo & Davison, Robert M., 2022. "Building user engagement to mhealth apps from a learning perspective: Relationships among functional, emotional and social drivers of user value," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    11. Roberto De Fazio & Roberta Proto & Carolina Del-Valle-Soto & Ramiro Velázquez & Paolo Visconti, 2022. "New Wearable Technologies and Devices to Efficiently Scavenge Energy from the Human Body: State of the Art and Future Trends," Energies, MDPI, vol. 15(18), pages 1-37, September.
    12. K Akdim & Luis V. Casaló, 2023. "Perceived value of AI-based recommendations service: the case of voice assistants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 81-112, March.
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