The advancement in wireless sensor and information technology has offered enormous healthcare opportunities for wearable\nhealthcare devices and has changed the way of health monitoring. Despite the importance of this technology, limited studies have\npaid attention for predicting individualsâ?? influential factors for adoption of wearable healthcare devices.Theproposed research aimed\nat determining the key factors which impact an individualâ??s intention for adopting wearable healthcare devices. The extended\ntechnology acceptance model with several external variables was incorporated to propose the research model. A multi-analytical\napproach, structural equation modelling-neural network, was considered for testing the proposed model. The results obtained from\nthe structural equation modelling showed that the initial trust is considered as the most determinant and influencing factor in the\ndecision of wearable health device adoption followed by health interest, consumer innovativeness, and so on. Moreover, the results\nobtained from the structural equation modelling applied as an input to the neural network indicated that the perceived ease of use is\none of the predictors that are significant for adoption of wearable health devices by consumers. The proposed study explains the\nwearable health device implementation along with test adoption model, and their outcome will help providers in the manufacturing\nunit for increasing actual usersâ?? continuous adoption intention and potential usersâ?? intention to use wearable devices.
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