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A comprehensive model for individuals’ acceptance of smart energy technology – A meta-analysis

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  • Gimpel, Henner
  • Graf, Vanessa
  • Graf-Drasch, Valerie

Abstract

Individuals' use of smart energy technology – i.e., technology that increases energy efficiency or increases the integration of renewable energy sources – holds great potential to solve the energy-related climate problem. However, individuals' current uptake of smart energy technology is low. If policymakers are to successfully address this issue, it is vital that they understand the determinants of individuals' smart energy technology adoption. Hence, this paper provides a comprehensive adoption model for smart energy technology, including data from over 4k individuals in Europe, Asia, and North America involved in various technological contexts and phases of diffusion. A meta-analysis identifies Attitude and Performance Expectancy as the primary determinants of individuals’ smart energy technology adoption. Further, results show that Environmental Concern influences all other determinants. Implications for research and policymakers are discussed.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:enepol:v:138:y:2020:i:c:s0301421519307815
    DOI: 10.1016/j.enpol.2019.111196
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    as
    1. Harjanne, Atte & Korhonen, Janne M., 2019. "Abandoning the concept of renewable energy," Energy Policy, Elsevier, vol. 127(C), pages 330-340.
    2. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    3. Bhati, Abhishek & Hansen, Michael & Chan, Ching Man, 2017. "Energy conservation through smart homes in a smart city: A lesson for Singapore households," Energy Policy, Elsevier, vol. 104(C), pages 230-239.
    4. 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.
    5. Sabiölla Hosseini & Leonhard Frank & Gilbert Fridgen & Sebastian Heger, 2018. "Do Not Forget About Smart Towns," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(3), pages 243-257, June.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    8. Robert G. Hollands, 2015. "Critical interventions into the corporate smart city," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(1), pages 61-77.
    9. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    10. Agarwal, Sumit & Satyanarain, Rengarajan & Sing, Tien Foo & Vollmer, Derek, 2016. "Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates," Energy Economics, Elsevier, vol. 55(C), pages 101-111.
    11. Chang, Youngho & Fang, Zheng & Li, Yanfei, 2016. "Renewable energy policies in promoting financing and investment among the East Asia Summit countries: Quantitative assessment and policy implications," Energy Policy, Elsevier, vol. 95(C), pages 427-436.
    12. Tobias Brandt & Wolf Ketter & Lutz M. Kolbe & Dirk Neumann & Richard T. Watson, 2018. "Smart Cities and Digitized Urban Management," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(3), pages 193-195, June.
    13. Girod, Bastien & Mayer, Sebastian & Nägele, Florian, 2017. "Economic versus belief-based models: Shedding light on the adoption of novel green technologies," Energy Policy, Elsevier, vol. 101(C), pages 415-426.
    14. Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
    15. Mauricio Marrone & Mara Hammerle, 2018. "Smart Cities: A Review and Analysis of Stakeholders’ Literature," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(3), pages 197-213, June.
    16. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
    17. Gerpott, Torsten J. & Paukert, Mathias, 2013. "Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany," Energy Policy, Elsevier, vol. 61(C), pages 483-495.
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