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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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    12. Sang-Heui Lee & Christine E. Fogliasso & Seunghye Jung & M. Minsuk Shin & Connie Shum, 2023. "User psychological states and enterprise information systems adoption: evidence from the United States, Zimbabwe, South Korea, and Paraguay," Service Business, Springer;Pan-Pacific Business Association, vol. 17(2), pages 477-497, June.
    13. Mingyu Park & Youngjung Geum, 2021. "On the data-driven generation of new service idea: integrated approach of morphological analysis and text mining," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 539-561, September.
    14. Jennifer Eymann & Werner Vach & Luis Fischer & Marcel Jakob & Andreas Gösele, 2022. "Comparing a Sensor for Movement Assessment with Traditional Physiotherapeutic Assessment Methods in Patients after Knee Surgery—A Method Comparison and Reproducibility Study," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
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