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

Author

Listed:
  • Lars Meyer-Waarden

    (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse)

  • Julien Cloarec
  • Carolin Adams
  • Dorothea Nilusha Aliman
  • Virginie Wirth

Abstract

The recent increase in the use of artificial intelligence (AI) and the Internet of Things has given rise to fundamental changes that affect users' daily lives. Smart connected objects and smart homes have appeared. The purpose of this study is to understand the acceptance and resistance factors of AI-based smart homes by combining the unified theory of acceptance and use of technology (UTAUT) with other relevant theories (technology acceptance theories from AI and robots research; regulatory focus theory; uses and gratifications theory; technology readiness theory) in a unified model. Cross-cultural data are collected in Western countries (France, Germany) and an Eastern country (China) and analyzed using ordinary least squares path analysis modeling. The results show that consumers pursue complementary types of goals when making decisions (e.g., utilitarian, prevention-oriented goals and affective, promotion-oriented goals involving well-being). We found a strong positive impact of smart homes' technology security, trust, and well-being on people's intention to use. Perceived privacy risks negatively influence people's intention to use only in developed countries.

Suggested Citation

  • Lars Meyer-Waarden & Julien Cloarec & Carolin Adams & Dorothea Nilusha Aliman & Virginie Wirth, 2021. "Home, sweet home : How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities," Post-Print hal-04076872, HAL.
    • Handle: RePEc:hal:journl:hal-04076872
    DOI: 10.3917/sim.214.0055
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    Cited by:

    1. Cloarec, Julien & Cadieu, Charlotte & Alrabie, Nour, 2024. "Tracking technologies in eHealth: Revisiting the personalization-privacy paradox through the transparency-control framework," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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    Keywords

    Smart home; Maison intelligente;

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