IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt0cv5g621.html
   My bibliography  Save this paper

Diffusion of Feedback: Perceptions and Adoption of Devices in the Residential Market

Author

Listed:
  • Karlin, Beth
  • Sanguinetti, Angela
  • Davis, Nora
  • Bendanna, Kristen
  • Holdsworth, Kristen
  • Baker, Jessie
  • Kirkby, David
  • Stokols, Daniel

Abstract

Providing households with energy feedback is widely promoted as a conservation strategy and its effectiveness has been established in field studies. However, such studies actively recruit participants and little is known about naturalistic consumers. Despite hundreds of products emerging, few have taken hold in the market. Diffusion of innovation is a theory of technology adoption that details both the general process by which innovation spreads as well as the individual process of technology adoption. The current study analyses survey data from 836 individuals through a diffusion framework to assess the current and potential market of energy feedback. Questions related to knowledge and perceptions of feedback reveal important insights about customer acceptance and statistical comparison of adopters and non-adopters identify key characteristics related to adoption. Implications for the design and marketing of feedback technologies are discussed.

Suggested Citation

  • Karlin, Beth & Sanguinetti, Angela & Davis, Nora & Bendanna, Kristen & Holdsworth, Kristen & Baker, Jessie & Kirkby, David & Stokols, Daniel, 2015. "Diffusion of Feedback: Perceptions and Adoption of Devices in the Residential Market," Institute of Transportation Studies, Working Paper Series qt0cv5g621, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt0cv5g621
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/0cv5g621.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Battalio, Raymond C, et al, 1979. "Residential Electricity Demand: An Experimental Study," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 180-189, May.
    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. Hilary Boudet & Chad Zanocco & Greg Stelmach & Mahmood Muttaqee & June Flora, 2021. "Public preferences for five electricity grid decarbonization policies in California," Review of Policy Research, Policy Studies Organization, vol. 38(5), pages 510-528, September.
    2. 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.
    3. Outcault, Sarah & Sanguinetti, Angela & Nelson, Leslie, 2022. "Technology characteristics that influence adoption of residential distributed energy resources: Adapting Rogers’ framework," Energy Policy, Elsevier, vol. 168(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. Giulietti, Monica & Le Coq, Chloé & Willems, Bert & Anaya, Karim, 2019. "Smart Consumers in the Internet of Energy : Flexibility Markets & Services from Distributed Energy Resources," Other publications TiSEM 2edb43b5-bbd6-487d-abdf-7, Tilburg University, School of Economics and Management.
    2. Robert W. Hahn & Robert D. Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," American Economic Review, American Economic Association, vol. 111(5), pages 1658-1688, May.
    3. Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Energy Policy, Elsevier, vol. 108(C), pages 593-605.
    4. Feehan, James P., 2018. "The long-run price elasticity of residential demand for electricity: Results from a natural experiment," Utilities Policy, Elsevier, vol. 51(C), pages 12-17.
    5. Sexton, Richard J. & Johnson, Nancy Brown & Konakayama, Akira, 1986. "Consumer Response To Continuous-Display Electricity-Use Monitors In A Time-Use Pricing Experiment," Working Papers 225803, University of California, Davis, Department of Agricultural and Resource Economics.
    6. Suter, Jordan F. & Shammin, Md Rumi, 2013. "Returns to residential energy efficiency and conservation measures: A field experiment," Energy Policy, Elsevier, vol. 59(C), pages 551-561.
    7. Delmas, Magali A. & Fischlein, Miriam & Asensio, Omar I., 2013. "Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012," Energy Policy, Elsevier, vol. 61(C), pages 729-739.
    8. Sexton, Richard J. & Johnson, Nancy Brown & Konakayama, Akira, 1985. "Consumer Response To Continuous-Display Electricity-Use Monitors In A Time-Of-Use Pricing Experiment," Working Papers 225799, University of California, Davis, Department of Agricultural and Resource Economics.
    9. Davis, Alexander L. & Krishnamurti, Tamar & Fischhoff, Baruch & Bruine de Bruin, Wandi, 2013. "Setting a standard for electricity pilot studies," Energy Policy, Elsevier, vol. 62(C), pages 401-409.
    10. Tejada-Bailly, Miguel Lorenzo, 1981. "Energy and economic growth in a developing country: the case of Peru to the year 2000," ISU General Staff Papers 198101010800008005, Iowa State University, Department of Economics.
    11. Paolo Zangheri & Tiago Serrenho & Paolo Bertoldi, 2019. "Energy Savings from Feedback Systems: A Meta-Studies’ Review," Energies, MDPI, vol. 12(19), pages 1-18, October.
    12. Bergstrom, John C. & Stoll, John R., 1989. "Application Of Experimentatal Economics Concepts And Precepts To Cvm Field Survey Procedures," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-12, July.

    More about this item

    Keywords

    Engineering;

    Statistics

    Access and download statistics

    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:cdl:itsdav:qt0cv5g621. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.