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User Acceptance of Smart Watch for Medical Purposes: An Empirical Study

Author

Listed:
  • Rana Saeed Al-Maroof

    (English Language & Linguistics Department, Al Buraimi University College, Al Buraimi 512, Oman)

  • Khadija Alhumaid

    (College of Education, Zayed University, Abu Dhabi P.O. Box 19282, United Arab Emirates)

  • Ahmad Qasim Alhamad

    (Information Systems Department, University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

  • Ahmad Aburayya

    (Quality & Corporate Development Office, Dubai Health Authority, Dubai 9115, United Arab Emirates)

  • Said Salloum

    (School of Science, Engineering, and Environment, University of Salford, Salford M5 4WT, UK
    Machine Learning and NLP Research Group, University of Sharjah, Sharjah 27272, United Arab Emirates)

Abstract

This study aims to investigate the most effective and interesting variables that urge use of the smartwatch (SW) in a medical environment. To achieve this aim, the study was framed using an innovative and integrated research model, which is based on combining constructs from a well-established theoretical model’s TAM and other features that are critical to the effectiveness of SW which are content richness and personal innovativeness. The Technology Acceptance Model (TAM) is used to detect the determinants affecting the adoption of SW. The current study depends on an online questionnaire that is composed of (20) items. The questionnaire is distributed among a group of doctors, nurses, and administration staff in medical centers within the UAE. The total number of respondents is (325). The collected data were implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. The results of the current study show that the main constructs in the model contribute differently to the acceptance of SW. Based on the previous assumption, content richness and innovativeness are critical factors that enrich the user’s perceived usefulness. In addition, perceived ease of use was significantly predictive of either perceived usefulness or behavioral intention. Overall findings suggest that SW is in high demand in the medical field and is used as a common channel among doctors and their patients and it facilitates the role of transmitting information among its users. The outcomes of the current study indicate the importance of certain external factors for the acceptance of the technology. The genuine value of this study lies in the fact that it is based on a conceptual framework that emphasizes the close relationship between the TAM constructs of perceived usefulness and perceived ease of use to the construct of content richness, and innovativeness. Finally, this study helps us recognize the embedded motives for using SW in a medical environment, where the main motive is to enhance and facilitate the effective roles of doctors and patients.

Suggested Citation

  • Rana Saeed Al-Maroof & Khadija Alhumaid & Ahmad Qasim Alhamad & Ahmad Aburayya & Said Salloum, 2021. "User Acceptance of Smart Watch for Medical Purposes: An Empirical Study," Future Internet, MDPI, vol. 13(5), pages 1-19, May.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:5:p:127-:d:553217
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    References listed on IDEAS

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    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Patricia Baudier & Chantal Ammi & Samuel Fosso Wamba, 2020. "Differing perceptions of the Smartwatch by users within developed countries," Post-Print hal-02512543, HAL.
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    Cited by:

    1. Ruhi Kiran Bajaj & Rebecca Mary Meiring & Fernando Beltran, 2023. "Co-Design, Development, and Evaluation of a Health Monitoring Tool Using Smartwatch Data: A Proof-of-Concept Study," Future Internet, MDPI, vol. 15(3), pages 1-15, March.

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