Abstract
The rapid growth of sustainable computing towards the energy, power and environment seize an immense attention from bigger organizations to an individual life. Besides the world is advancing towards the digital mode and smartwatch is gaining its popularity because of additional importance to improve lifestyle. Moreover, it is not restricted to only time viewer rather paves a way in user's daily life. Therefore, it is highly cardinal in identifying the factors among consumers influencing the adoption of smartwatch in sustainable wearable computing. Traditional data modelling tools limited to technology acceptance model is used to this end. After all the study deals with user's behaviour that includes uncertainties and thus studying such problems using computational intelligence techniques is pivotal. In this research work we hybridize rough set, partial least square, and formal concept analysis to study smartwatch users adoption in wearable computing. Initially, the reliability and validity of the proposed model is analysed using structural equation modelling along with partial least square. Further, decision rules are generated using the rough set. Finally, important factors affecting the user's behavioural adoption towards sustainable wearable computing is discovered using formal concept analysis.
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