An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices
Joint Authors
Nazir, Shah
Asadi, Shahla
Abdullah, Rusli
Safaei, Mahmood
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Telecommunications Engineering
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193885