What is it about?

By the advancement of wireless sensor and information technologies, wearable healthcare devices have emerged as a new technology through which people can easily monitor their physiological conditions. +e 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.

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Why is it important?

+e 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.


Writing this article was a great pleasure as it has co-authors with whom I have had long-standing collaborations.

Shahla Asadi
Universiti Putra Malaysia

Read the Original

This page is a summary of: An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices, Mobile Information Systems, February 2019, Hindawi Publishing Corporation,
DOI: 10.1155/2019/8026042.
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