Home, smart home: How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities

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The use of AI and IoT is leading to fundamental changes that affect our daily lives. Smart homes have emerged. The objective of this study is to understand the acceptance and resistance factors of smart homes by combining the UTAUT theory with the theories of regulatory focus, uses and gratifications, and technology readiness. Data are collected in France, Germany and China. The results show that consumers pursue 2 types of complementary objectives when making decisions about smart home adoption: utilitarian, focused on prevention, and affective, focused on well-being. Technological security positively influences the confidence and well-being provided by smart homes, which in turn influences adoption intent.

Co-Auteur: Julien Cloarec

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