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Smart home: Highly-educated students' acceptance

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  • Baudier, Patricia
  • Ammi, Chantal
  • Deboeuf-Rouchon, Matthieu

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.

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  • Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    • Handle: RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162518300192
    DOI: 10.1016/j.techfore.2018.06.043
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    as
    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Gangale, Flavia & Mengolini, Anna & Onyeji, Ijeoma, 2013. "Consumer engagement: An insight from smart grid projects in Europe," Energy Policy, Elsevier, vol. 60(C), pages 621-628.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Gregory D. Wozniak, 1987. "Human Capital, Information, and the Early Adoption of New Technology," Journal of Human Resources, University of Wisconsin Press, vol. 22(1), pages 101-112.
    6. Jahanmir, Sara F. & Lages, Luis Filipe, 2016. "The late-adopter scale: A measure of late adopters of technological innovations," Journal of Business Research, Elsevier, vol. 69(5), pages 1701-1706.
    7. Sotiris Zygiaris, 2013. "Smart City Reference Model: Assisting Planners to Conceptualize the Building of Smart City Innovation Ecosystems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(2), pages 217-231, June.
    8. Kulviwat, Songpol & Bruner II, Gordon C. & Al-Shuridah, Obaid, 2009. "The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, Elsevier, vol. 62(7), pages 706-712, July.
    9. Wilson, Charlie & Hargreaves, Tom & Hauxwell-Baldwin, Richard, 2017. "Benefits and risks of smart home technologies," Energy Policy, Elsevier, vol. 103(C), pages 72-83.
    10. Yves Evrard & Bernard Pras & Elyette Roux & Pierre Desmet & Anne-Marie Dussaix & Gary L. Lilien, 2009. "Market - Fondements et méthodes des recherches en marketing," Post-Print hal-00490724, HAL.
    11. Ehrenhard, Michel & Kijl, Bjorn & Nieuwenhuis, Lambert, 2014. "Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 306-315.
    12. Jang, Sung Hee & Kim, Rachel H. & Lee, Chang Won, 2016. "Effect of u-healthcare service quality on usage intention in a healthcare service," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 396-403.
    13. Balta-Ozkan, Nazmiye & Davidson, Rosemary & Bicket, Martha & Whitmarsh, Lorraine, 2013. "Social barriers to the adoption of smart homes," Energy Policy, Elsevier, vol. 63(C), pages 363-374.
    14. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    15. Peters, Derek & Axsen, Jonn & Mallett, Alexandra, 2018. "The role of environmental framing in socio-political acceptance of smart grid: The case of British Columbia, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1939-1951.
    16. Nicole Roth & Fabrice Murat & Valérie Albouy, 2003. "Les aides aux jeunes adultes : réflexions sur les concepts et éléments de chiffrage," Économie et Prévision, Programme National Persée, vol. 160(4), pages 1-22.
    17. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    18. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    19. repec:dau:papers:123456789/1536 is not listed on IDEAS
    20. Wang, Ning & Tang, Linhao & Pan, Huizhong, 2018. "Analysis of public acceptance of electric vehicles: An empirical study in Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 284-291.
    21. Grimaldi, Didier & Fernandez, Vicenc, 2017. "The alignment of University curricula with the building of a Smart City: A case study from Barcelona," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 298-306.
    22. Alexandra-Gwyn Paetz & Elisabeth Dütschke & Wolf Fichtner, 2012. "Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions," Journal of Consumer Policy, Springer, vol. 35(1), pages 23-41, March.
    23. Sarma, Sumita & Sunny, Sanwar A., 2017. "Civic entrepreneurial ecosystems: Smart city emergence in Kansas City," Business Horizons, Elsevier, vol. 60(6), pages 843-853.
    24. Spickermann, Alexander & Grienitz, Volker & von der Gracht, Heiko A., 2014. "Heading towards a multimodal city of the future?," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 201-221.
    25. Valérie Albouy & Fabrice Murat & Nicole Roth, 2003. "Les aides aux jeunes adultes : réflexions sur les concepts et éléments de chiffrage," Economie & Prévision, La Documentation Française, vol. 0(4), pages 1-22.
    26. John V. Winters, 2011. "Why Are Smart Cities Growing? Who Moves And Who Stays," Journal of Regional Science, Wiley Blackwell, vol. 51(2), pages 253-270, May.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Smart cities; Smart living; Smart home; Digital natives; TAM; UTAUT2;
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