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Smart energy technology: A survey of adoption by individuals and the enabling potential of the technologies

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  • Fleiß, Eva
  • Hatzl, Stefanie
  • Rauscher, Jürgen

Abstract

Smart energy technologies are considered to expedite our energy system transition, which is required to meet the zero-carbon emission goals by 2050. These technologies offer new possibilities to manage energy demand and supply, especially considering the increasing share of renewable energy sources and the ongoing emergence of decentralized energy concepts. Whilst previous studies have predominantly investigated drivers for and barriers to individuals' intention to adopt smart energy technologies, the present study was carried out to investigate drivers and barriers that influence the individuals’ actual decision to adopt these technologies and explores the role of co-adoption of related technologies (renewable energy technologies and electric vehicles). Therefore, an extended version of Technology Acceptance model (i.e. encompassing the perceived risk and the adoption of renewable energy technologies and electric vehicles) was included in an online survey with a national quota-representative sample (n = 521). A binary logistic regression analysis of data collected in this survey shows that the adoption of renewable energy technologies and electric vehicles, as well as perceived ease of use and attitude, encourage individuals to adopt smart energy technologies, whereby the adoption of electric vehicles has the strongest effect on their decision to adopt smart energy technologies. Our results indicate that the process of co-adopting energy-related technologies is ongoing, increasing the enabling potential to support an energy system transition.

Suggested Citation

  • Fleiß, Eva & Hatzl, Stefanie & Rauscher, Jürgen, 2024. "Smart energy technology: A survey of adoption by individuals and the enabling potential of the technologies," Technology in Society, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:teinso:v:76:y:2024:i:c:s0160791x23002142
    DOI: 10.1016/j.techsoc.2023.102409
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    1. Manis, Kerry T. & Choi, Danny, 2019. "The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware," Journal of Business Research, Elsevier, vol. 100(C), pages 503-513.
    2. Duch-Brown, Néstor & Rossetti, Fiammetta, 2020. "Digital platforms across the European regional energy markets," Energy Policy, Elsevier, vol. 144(C).
    3. Shuhaiber, Ahmed & Mashal, Ibrahim, 2019. "Understanding users’ acceptance of smart homes," Technology in Society, Elsevier, vol. 58(C).
    4. Buchanan, Kathryn & Banks, Nick & Preston, Ian & Russo, Riccardo, 2016. "The British public’s perception of the UK smart metering initiative: Threats and opportunities," Energy Policy, Elsevier, vol. 91(C), pages 87-97.
    5. Gabriele Lobaccaro & Salvatore Carlucci & Erica Löfström, 2016. "A Review of Systems and Technologies for Smart Homes and Smart Grids," Energies, MDPI, vol. 9(5), pages 1-33, May.
    6. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    7. Jamie Bennett & Osvaldas Rokas & Liming Chen, 2017. "Healthcare in the Smart Home: A Study of Past, Present and Future," Sustainability, MDPI, vol. 9(5), pages 1-23, May.
    8. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    9. Nedim Tutkun & Alessandro Burgio & Michal Jasinski & Zbigniew Leonowicz & Elzbieta Jasinska, 2021. "Intelligent Scheduling of Smart Home Appliances Based on Demand Response Considering the Cost and Peak-to-Average Ratio in Residential Homes," Energies, MDPI, vol. 14(24), pages 1-15, December.
    10. Broman Toft, Madeleine & Schuitema, Geertje & Thøgersen, John, 2014. "Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology," Applied Energy, Elsevier, vol. 134(C), pages 392-400.
    11. Wenqing Zhang & Liangliang Liu, 2022. "Unearthing consumers’ intention to adopt eco-friendly smart home services: an extended version of the theory of planned behavior model," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(2), pages 216-239, January.
    12. Karlin, Beth & Ford, Rebecca & Sanguinetti, Angela & Squiers, Cassandra & Gannon, John & Rajukumar, Mukund & Donnelly, Kat A., 2015. "Characterization and Potential of Home Energy Management (HEM) Technology," Institute of Transportation Studies, Working Paper Series qt6qd1x5js, Institute of Transportation Studies, UC Davis.
    13. Gimpel, Henner & Graf, Vanessa & Graf-Drasch, Valerie, 2020. "A comprehensive model for individuals’ acceptance of smart energy technology – A meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    14. Wilson, Charlie & Hargreaves, Tom & Hauxwell-Baldwin, Richard, 2017. "Benefits and risks of smart home technologies," Energy Policy, Elsevier, vol. 103(C), pages 72-83.
    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. Reeves, D.C. & Rai, V., 2018. "Strike while the rebate is hot: Savvy consumers and strategic technology adoption timing," Energy Policy, Elsevier, vol. 121(C), pages 325-335.
    17. Killian, M. & Zauner, M. & Kozek, M., 2018. "Comprehensive smart home energy management system using mixed-integer quadratic-programming," Applied Energy, Elsevier, vol. 222(C), pages 662-672.
    18. Rai, Varun & Reeves, D. Cale & Margolis, Robert, 2016. "Overcoming barriers and uncertainties in the adoption of residential solar PV," Renewable Energy, Elsevier, vol. 89(C), pages 498-505.
    19. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    20. Noor Ashikin Basarudin* & Asmah Laili Yeon & Zuryati Mohamed Yusoff & Nuarrual Hilal Md Dahlan & Nazli Mahdzir, 2018. "Smart Home Assisted Living for Elderly: The Needs for Regulations," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 7-13:6.
    21. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.
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