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

1451 vues

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


Same Institution videos

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.
MEYER-WAARDEN Lars - Toulouse School of Management |
Despite being the object of much interest, deep insights regarding why and when investments in big data resources enhance firm performance are lacking in the literature. Building on the resource based view and survey data from 301 senior marketing managers, this study reveals that big data resources improve firm performance by enhancing their market-directed capabilities. A complementary balance of IT infrastructure, human capital through data scientists, and “customer orientation” is necessary for effective BDR management and the impact on firm performance. In addition, firms pursuing a differentiation rather than cost leadership strategy gain most from big data resource investments and that such resources improve by in average 13 % the performance of firms.
MEYER-WAARDEN Lars - Toulouse School of Management |

Same Topic videos

Focused on the Greek economic crisis, one of the toughest and the most prolonged ones on a global scale, the present research centers on both anthropocentric and business-centric factors that helped SMEs survive, thus, providing a valuable survival manual. Grounded in quantitative research the paper includes two studies. 250 SMEs were included in the first study while 189 of them that survived, participated in the second study.
THEODORAKIS Ioannis - OMNES Education |
Concerned market innovations acknowledge that businesses can no longer be driven by profitability alone and have to integrate non-economic values and collective concerns. Studying the evolution of such an innovation – a mobile phone recovery and recycling scheme – we find that social concerns enter the market and are integrated into its functioning through representational, exchange and normative practices.

Subscribe to our video channels