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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Les véhicules autonomes (VA) basés sur l'intelligence artificielle (IA) constituent l'une des avancées technologiques les plus attendues de notre époque, avec des implications sociales très importantes en termes de sécurité des conducteurs/passagers et d'aspects environnementaux. Cependant, la plupart des consommateurs sont réticents à l'adoption de ces VA. Nous analysons, à l'aide d'une enquête menée en France, l'adoption de VA basés sur l’IA, afin de comprendre les facteurs psychologiques, sociaux et cognitifs. Nous montrons qu'il existe une relation positive entre l'adoption de VA et les attentes en matière de performance, facilité d’usage, la reconnaissance sociale, le bien-être, l'hédonisme, la confiance dans la technologie, ainsi que la sécurité.
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MEYER-WAARDEN Lars - Toulouse School of Management |

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