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Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System: An Empirical Study

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  • Pantea Keikhosrokiani

    (School of Computer Sciences, Universiti Sains Malaysia, Minden, Malaysia)

Abstract

Heart disease is the number one killing disease in the world. It is imperative to use IoMT-based information system called iHeart that tracks patient's blood pressure, heart rate, and current location. To design such a system, users' needs must be recognized. Therefore, this research proceeds with conducting a survey among 223 smartphone users in Penang, Malaysia and Isfahan, Iran to predict behavioural intention to use of iHeart before its full implementation. The theoretical frameworks of iHeart intention to use is set up based upon behavioural change theories. The results were analysed by using SmartPLS which indicate the different acceptance rates among two nationalities. It is concluded that cultural differences and technology advancements impact on the adoption of iHeart from smartphone users' points of view. The results of this study can be useful for healthcare professionals to evade culturally related problems for future projects.

Suggested Citation

  • Pantea Keikhosrokiani, 2021. "Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System: An Empirical Study," International Journal of E-Adoption (IJEA), IGI Global, vol. 13(2), pages 52-77, July.
    • Handle: RePEc:igg:jea000:v:13:y:2021:i:2:p:52-77
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEA.2021070104
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