IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v76y2024ics0160791x23002142.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X23002142
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2023.102409?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Duch-Brown, Néstor & Rossetti, Fiammetta, 2020. "Digital platforms across the European regional energy markets," Energy Policy, Elsevier, vol. 144(C).
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    11. 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.
    12. Shuhaiber, Ahmed & Mashal, Ibrahim, 2019. "Understanding users’ acceptance of smart homes," Technology in Society, Elsevier, vol. 58(C).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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).
    19. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    20. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kupeli, Birgul & Salman, Gulberk Gultekin & Karaosmanoglu, Elif & Daim, Tugrul, 2024. "Exploring self-service technology adoption: Case of airline check in," Technology in Society, Elsevier, vol. 77(C).
    2. Cotton, Matthew & Van Schaik, Paul & Vall, Natasha & Lorrimer, Susan & Mountain, Andrea & Stubbs, Rosemary & Leighton, Charlotte & Leon, Edgar Segovia & Imani, Elena, 2024. "Just transitions and sociotechnical innovation in the social housing sector: An assemblage analysis of residents’ perspectives," Technology in Society, Elsevier, vol. 77(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    2. Birgul Basarir-Ozel & Hande Bahar Turker & Vesile Aslihan Nasir, 2022. "Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    3. Wei Gu & Peng Bao & Wenyuan Hao & Jaewoong Kim, 2019. "Empirical Examination of Intention to Continue to Use Smart Home Services," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    4. Große-Kreul, Felix, 2022. "What will drive household adoption of smart energy? Insights from a consumer acceptance study in Germany," Utilities Policy, Elsevier, vol. 75(C).
    5. Furszyfer Del Rio, D.D., 2022. "Smart but unfriendly: Connected home products as enablers of conflict," Technology in Society, Elsevier, vol. 68(C).
    6. Christine Milchram & Geerten Van de Kaa & Neelke Doorn & Rolf Künneke, 2018. "Moral Values as Factors for Social Acceptance of Smart Grid Technologies," Sustainability, MDPI, vol. 10(8), pages 1-23, August.
    7. Basarir-Ozel, Birgul & Nasir, V. Aslihan & Turker, Hande B., 2023. "Determinants of smart home adoption and differences across technology readiness segments," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    8. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    9. Hafize Nurgul Durmus Senyapar & Ramazan Bayindir, 2023. "The Research Agenda on Smart Grids: Foresights for Social Acceptance," Energies, MDPI, vol. 16(18), pages 1-31, September.
    10. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Hongping Yuan & Yu Yang & Xiaolong Xue, 2019. "Promoting Owners’ BIM Adoption Behaviors to Achieve Sustainable Project Management," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    12. Attour, Amel & Baudino, Marco & Krafft, Jackie & Lazaric, Nathalie, 2020. "Determinants of energy tracking application use at the city level: Evidence from France," Energy Policy, Elsevier, vol. 147(C).
    13. Rohde, Friederike & Quitzow, Leslie, 2021. "Digitale Energiezukünfte und ihre Wirkungsmacht: Visionen der smarten Energieversorgung zwischen Technikoptimismus und Nachhaltigkeit," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 189-211.
    14. Sovacool, Benjamin K. & Martiskainen, Mari & Furszyfer Del Rio, Dylan D., 2021. "Knowledge, energy sustainability, and vulnerability in the demographics of smart home technology diffusion," Energy Policy, Elsevier, vol. 153(C).
    15. Milchram, Christine & Hillerbrand, Rafaela & van de Kaa, Geerten & Doorn, Neelke & Künneke, Rolf, 2018. "Energy Justice and Smart Grid Systems: Evidence from the Netherlands and the United Kingdom," Applied Energy, Elsevier, vol. 229(C), pages 1244-1259.
    16. Maksym Gaiduk & Ralf Seepold & Natividad Martínez Madrid & Juan Antonio Ortega, 2021. "Digital Health and Care Study on Elderly Monitoring," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    17. Calver, Philippa & Simcock, Neil, 2021. "Demand response and energy justice: A critical overview of ethical risks and opportunities within digital, decentralised, and decarbonised futures," Energy Policy, Elsevier, vol. 151(C).
    18. Hackbarth, André, 2018. "Attitudes, preferences, and intentions of German households concerning participation in peer-to-peer electricity trading," Reutlingen Working Papers on Marketing & Management 2019-2, Reutlingen University, ESB Business School.
    19. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    20. Li, Wenda & Yigitcanlar, Tan & Liu, Aaron & Erol, Isil, 2022. "Mapping two decades of smart home research: A systematic scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:76:y:2024:i:c:s0160791x23002142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.