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    Factors Influencing Health Wearables Adoption and Usage in Saudi Arabia
    Volume 1, No. 1, September 2020 | 10 pages| http//dx.doi.org/10.46410/jbtm.2020.1.1.05

    Authors

    Mohammed Hokroh, Head of Finance & Performance Mgt. Unit, NAOO Saudi Aramco, Saudi Arabia
    Gill Hahan-Green, Executive director, SoftwareBahn Ltd, United Kingdom
    Mochamad Soleton, Department of Management, Faculty of Economics and Business, Universitas Mercu Buana, Indonesia


    Abstract

    The adoption of technology is one of the most fascinating areas of Management Information Systems (MIS) research. Because it deals with humankind, the adoption of different technologies requires a specific study. Accordingly, the objective of this research study is to explore the factors that influence the adoption and use of wearable health technology in the Kingdom of Saudi Arabia utilizing an extended version of the Technology Acceptance Model (TAM). A total of 104 users were surveyed to test the research hypothesis. Structural Equation Modelling (SEM) was applied to model the research hypotheses and estimate the regression weight. The research looked at Heart Health (HH), Weight Management (WM), and Sleep Improvement (SI) as antecedents for Perceived Usefulness (PU). Also, Wearable Design (WD), Graphical User Interface (GUI), and Health Information Support (HIS) as antecedents for Perceived Ease of Use (PEU). The results revealed that HH, WM, and SI are of significant importance for the PU of health wearable. Also, WD, GUI, and HIS were found to be significant factors influencing the PEU. PU is impacted slightly by PEU and the latter had a higher impact on ATU compared to PU. Also, BI is influenced more by ATU compared to PU due to the impact of PEU weight on ATU. Future research may look into the issues of information privacy of patient data or the long term impact of health wearable devices on patient’s health.


    Keywords

    Wearables; Adoption; TAM, Saudi Arabia


    References

    [1] Agarwal, R. and Prasad, J. ‘Are individual differences germane to the acceptance of new information technologies?’ Decision Sciences, Vol. 30, No. 2, pp. 361-391, (1999).

    [2] Al-Gahtani, S ‘Testing for the Applicability of the TAM Model in the Arabic Context: Exploring an Extended TAM with Three Moderating Factors’ Information Resource Management, Vol. 21, pp. 1-26, . (2008).

    [3] Al-Gahtani, S. S. ‘Modelling the Electronic Transaction Acceptance Using an Extended Technology Acceptance Model’ Applied Computing and Informatics, Vol. 9, pp. 47–77, (2011).

    [4] Al-Harbi, K. ‘E-learning in the Saudi Tertiary Education: Potential and Challenges’ Applied Computing and Informatics, Vol. 9, pp. 31-46, (2011).

    [5] Al-Mamary, Y. H., Shamsuddin, A., Hamid, A., & Aziati, N. ‘the impact of management information systems adoption in managerial decision making: A review’ Management Information Systems, Vol. 8, No. 4, pp. 010-017 (2013).

    [6] Al-Somali, S. A., Gholami, R. and Clegg, B. ‘An Investigation into the Acceptance of Online Banking in Saudi Arabia’ Technovation, Vol. 29, pp. 130–141, (2009).

    [7] Chen, M., Zhang, Y., Li, Y., Hassan, M. M., and Alamri, A. (2015) ‘AIWAC: Affective interaction through wearable computing and cloud technology’ IEEE Wireless Communications, Vol. 22, No. 1, pp. 20-27.

    [8] Chuah, S. H. W., Rauschnabel, P. A., Krey, N., Nguyen, B., Ramayah, T. and Lade, S. (2016) ‘Wearable technologies: The role of usefulness and visibility in smartwatch adoption’ Computers in Human Behavior, Vol. 65, 276-284.

    [9] Davis, F. D. (1986) ‘A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results’ Doctoral Dissertation, Salon School of Management Cambridge, MA.

    [10] Davlyatov, G., Borkowski, N., Feldman, S., Qu, H., Burke, D., Bronstein, J. and Brickman, A. ‘Health Information Technology Adoption and Clinical Performance in Federally Qualified Health Centers’ Journal for healthcare quality: official publication of the National Association for Healthcare Quality, (2019).

    [11] Dawi, N. M. and Jalil, N. A. (2019, November) Integrated model for smartwatch adoption. In Proceedings of the International Conference on Advanced Information Science and System (pp. 1-7).

    [12] Dehghani, M. ‘Exploring the motivational factors on continuous usage intention of smartwatches among actual users’ Behaviour & Information Technology, Vol. 37, No. 2, pp. 145-158, (2018).

    [13] Fawcett, E., Van Velthoven, M. H. and Meinert, E. ‘Long-Term Weight Management Using Wearable Technology in Overweight and Obese Adults: Systematic Review’ JMIR mHealth and uHealth, Vol. 8, No. 3, (2020) e13461.

    [14] Hokroh, M., & Green, G. ‘System adoption: socio-technical integration’ International Journal of Business Management and Technology, Vol 2, No. 5, pp. 95-107, (2018).

    [15] Hokroh, M., and Green, G. ‘Online Video Games Adoption: Toward an Online Game Adoption Model’, International Journal of Research in Business and Social Science, Vol. 8, No. 4, pp. 163-171, (2019).

    [16] Hsiao, K. L. and Chen, C. C. ‘What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty’ Electronic Commerce Research and Applications, Vol. 16, pp. 18-29, (2016).

    [17] Isakadze, N. and Martin, S. S. ‘How useful is the smartwatch ECG?’ Trends in cardiovascular medicine. (2019).

    [18] Kalantari, M. and Rauschnabel, P. ‘Exploring the Early Adopters of Augmented Reality Smart Glasses: The Case of Microsoft HoloLens’ Augmented Reality and Virtual Reality, pp. 229–245. Cham: Springer. (2018).

    [19] Kalantari, M. ‘Consumers' adoption of wearable technologies: literature review, synthesis, and future research agenda’ International Journal of Technology Marketing, Vol. 12, No. 3, pp. 274-307, (2017).

    [20] Kim, K. J. and Shin, D. H. ‘An acceptance model for smart watches’ Internet Research, Vol. 25, No. 4, pp. 527-541, (2015).

    [21] Lobelo, F., Kelli, H. M., Tejedor, S. C., Pratt, M., McConnell, M. V., Martin, S. S., & Welk, G. J. ‘The wild wild west: a framework to integrate mHealth software applications and wearables to support physical activity assessment, counseling and interventions for cardiovascular disease risk reduction’ Progress in cardiovascular diseases, Vol. 58, No. 6, pp. 584-594, (2016).

    [22] Phan, D., Siong, L. Y., Pathirana, P. N., & Seneviratne, A. ‘Smartwatch: Performance evaluation for long-term heart rate monitoring’ In 2015 International symposium on bioelectronics and bioinformatics (ISBB), pp. 144-147, (2015) IEEE.

    [23] Rosenberger, M. E., Buman, M. P., Haskell, W. L., McConnell, M. V., & Carstensen, L. L. ‘24 hours of sleep, sedentary behavior, and physical activity with nine wearable devices’ Medicine and science in sports and exercise, Vol. 48, No. 3, pp. 457, (2016).

    [24] Sarli, A. and Baharun, R. Modelling and Statistical Concepts in Business Research: AMOS and SPSS, Lexington, KY: USA, (2016).

    [25] Shelgikar, A. V., Anderson, P. F., & Stephens, M. R. ‘Sleep tracking, wearable technology, and opportunities for research and clinical care’ Chest, Vol. 150, No. 3, pp. 732-743, (2016).

    [26] Silva, W., Sacramento, C., Silva, E., Garcia, A.C. and Leal Ferreira, S.B. Health Information, Human Factors and Privacy Issues in Mobile Health Applications. In Proceedings of the 53rd Hawaii International Conference on System Sciences, January 2020.

    [27] ul Amin, R., Inayat, I., & Shazad, B. (2015, April) ‘Wearable learning technology: A smart way to teach elementary school students’, 2015 12th Learning and Technology Conference (pp. 1-5).

    [28] World Health Organization (2020) Health technology assessment [online] Available at: https://www.who.int/health-technology-assessment/about/healthtechnology/en/ [Accessed 14 June 2020].

    [29] Zhang, M., M. Luo, R. Nie, and Y. Zhang “Technical Attributes, Health Attribute, Consumer Attributes and Their Roles in Adoption Intention of Healthcare Wearable Technology.” International Journal of Medical Informatics, Vol. 108, pp. 97–109, (2017).


    Citations

    APA:
    Hokroh, M., Hahan-Green, G., & Soleton, M. (2020). Factors Influencing Health Wearables Adoption and Usage in Saudi Arabia. Journal of Business and Technology Management (JBTM), HolyKnight, vol. 1, 33-42. doi.org/10.46410/jbtm.2020.1.1.05.

    MLA:
    Hokroh, Mohammed, et al “Factors Influencing Health Wearables Adoption and Usage in Saudi Arabia.” Journal of Business and Technology Management, HolyKnight, vol. 1, 2020, pp 33-42. JBTM, https://holyknight.co.uk/journals/jbtm/Vol1-1/5.html.

    IEEE:
    [1] M. Hakroh, G. Hahan-Green and M, Soleton, “Factors Influencing Health Wearables Adoption and Usage in Saudi Arabia.” Journal of Business and Technology Management (JBTM), HolyKnight, vol. 1, pp. 33-42. September 2020.