Smart home: highly-educated students' acceptance

Patricia Baudier (), Chantal Ammi () and Matthieu Deboeuf-Rouchon
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Patricia Baudier: PULV - Pôle Universitaire Léonard de Vinci
Chantal Ammi: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Matthieu Deboeuf-Rouchon: Altran Telecoms [Electronics & Media] - ALTRAN (FRANCE)

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Abstract: In the coming years, cities face an urban transition in order to manage their resources, public administration, safety, regional economics, education, innovation, health, culture, and entertainment an efficient way. The Smart City concept includes several smart dimensions relating to the environment, mobility, the economy, governance, people, and living. This study explores the impact of Smart home dimensions on highly-educated students, drawn from what is known as the "digital native" population, one of the key components of the smart living concept. As digital natives are already engaged with the adoption of new technologies and sustainable development, we have postulated that they would be keen to use smart technologies in the home that could improve their daily life while preserving the environment. This study tests a scale developed to measure consumer perception of the Smart Home Concept (SHC) and the impact on "Performance Expectancy" and "Habit". The model was built using some of the constructs of existing technology acceptance models, such as the UTAUT2 and TAM2 models. Based on our findings, digital natives seem ready to adopt the SHC and our results highlight the fact that Smart Home products could be targeted at this specific population.

Keywords: TAUT2; Digital natives; Smart cities; Smart living; TAMU; Smart home; Sustainable Development Goals (search for similar items in EconPapers)
Date: 2020-04
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Citations: View citations in EconPapers (25)

Published in Technological Forecasting and Social Change, 2020, 153, pp.119355. ⟨10.1016/j.techfore.2018.06.043⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02292941

DOI: 10.1016/j.techfore.2018.06.043

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