User acceptance of smart wearable devices: An expectation-confirmation model approach |
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Affiliation: | 1. Head of Learning Lab, IPAG Business School, 184 Boulevard Saint-Germain, 75006 Paris, France;2. Mahidol University International College, 999 Phutthamonthon 4 Road, Salaya, Nakhonpathom 73170, Thailand;3. PricewaterhouseCoopers (PwC), France |
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Abstract: | Smart wearable devices have become one of the most popular interactive items in the “smart” era that prioritizes “mobility.” There is significant scholarly interest in not only promoting the successful diffusion of this technology but also providing improved user experience to users of these devices. In line with this trend, this study explores users’ perceptions of smart wearable devices and introduces a comprehensive research model that employs factors that are primarily extracted using the expectation-confirmation, technology acceptance, and flow models. The results derived using both confirmatory factor analysis and structural equation modeling methods (N = 1,380) indicate that users’ intentions to use smart wearable devices are determined by five influential factors: satisfaction, enjoyment, usefulness, flow state, and cost. Both users’ confirmation and service and system quality play notable determinative roles in the research model. Implications and suggestions are presented considering the results. |
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Keywords: | Smart wearable devices Expectation-confirmation model Technology acceptance Flow |
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