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An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices
المؤلفون المشاركون
Nazir, Shah
Asadi, Shahla
Abdullah, Rusli
Safaei, Mahmood
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-14
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The advancement in wireless sensor and information technology has offered enormous healthcare opportunities for wearable healthcare devices and has changed the way of health monitoring.
Despite the importance of this technology, limited studies have paid attention for predicting individuals’ influential factors for adoption of wearable healthcare devices.
The proposed research aimed at determining the key factors which impact an individual's intention for adopting wearable healthcare devices.
The extended technology acceptance model with several external variables was incorporated to propose the research model.
A multi-analytical approach, structural equation modelling-neural network, was considered for testing the proposed model.
The results obtained from the structural equation modelling showed that the initial trust is considered as the most determinant and influencing factor in the decision of wearable health device adoption followed by health interest, consumer innovativeness, and so on.
Moreover, the results obtained from the structural equation modelling applied as an input to the neural network indicated that the perceived ease of use is one of the predictors that are significant for adoption of wearable health devices by consumers.
The proposed study explains the wearable health device implementation along with test adoption model, and their outcome will help providers in the manufacturing unit for increasing actual users’ continuous adoption intention and potential users’ intention to use wearable devices.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Asadi, Shahla& Abdullah, Rusli& Safaei, Mahmood& Nazir, Shah. 2019. An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1193885
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Asadi, Shahla…[et al.]. An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices. Mobile Information Systems No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1193885
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Asadi, Shahla& Abdullah, Rusli& Safaei, Mahmood& Nazir, Shah. An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1193885
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193885
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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