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Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology

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  • Sami S. Binyamin

    (Computer and Information Technology Department, Faculty of Applied Studies, Main Campus, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Md. Rakibul Hoque

    (Department of Management Information Systems, University of Dhaka, Dhaka 1000, Bangladesh)

Abstract

The market for wearable health monitoring technology is promising globally and in Saudi Arabia particularly. The country has a very high prevalence of chronic diseases that can be managed using wearable health monitoring technology. However, wearable devices are not fully advantageous if people do not accept them. Due to the parsimony of studies on the acceptance of wearable health monitoring technology, understanding the key drivers of using wearable health monitoring technology remains uncertain. This cross-sectional study extends the extended unified theory of acceptance and use of technology (UTAUT2) to explain the variance in the adoption intention of wearable health monitoring technology. A total of 256 responses were analyzed using the partial least squares structural equation modeling technique, in addition to the importance-performance map analysis. The results indicate that performance expectancy (PE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM) and habit (HA) significantly impact users’ behavioral intention (BI) to adopt wearable health monitoring technology. The results also demonstrate that effort expectancy (EE), price value (PV), government health policy (GHP) and trust (TR) are not important. Based on the findings, this research presents a set of recommendations for decisions makers, managers and system developers in the healthcare sector to enhance the use and quality of wearable technology.

Suggested Citation

  • Sami S. Binyamin & Md. Rakibul Hoque, 2020. "Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9605-:d:446954
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    References listed on IDEAS

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    Cited by:

    1. Hayat, Naeem & Salameh, Anas A. & Malik, Haider Ali & Yaacob, Mohd Rafi, 2022. "Exploring the adoption of wearable healthcare devices among the Pakistani adults with dual analysis techniques," Technology in Society, Elsevier, vol. 70(C).
    2. Luiz Philipi Calegari & Guilherme Luz Tortorella & Diego Castro Fettermann, 2023. "Getting Connected to M-Health Technologies through a Meta-Analysis," IJERPH, MDPI, vol. 20(5), pages 1-33, February.
    3. Min Wang & Caiyue Zhao & Jing Fan, 2021. "To Wear or Not to Wear: Analysis of Individuals’ Tendency to Wear Masks during the COVID-19 Pandemic in China," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    4. Chenming Peng & Hong Zhao & Sha Zhang, 2021. "Determinants and Cross-National Moderators of Wearable Health Tracker Adoption: A Meta-Analysis," Sustainability, MDPI, vol. 13(23), pages 1-16, December.

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