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What makes energy consumption behavior visible? Conceptualization, scale development and validation of customized information feedback

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  • Zha, Donglan
  • Zhang, Chaoqun
  • Jiang, Pansong
  • Wang, Fu

Abstract

Customized information feedback (CIF) can significantly mitigate carbon emissions by stimulating changes in energy consumption behaviors among businesses and residents. However, the lack of conceptual clarity and standardized has hindered research into its mechanisms and impact on energy consumption. This study aims to bridge this crucial research gap by developing and validating a CIF scale and dimensional structure. In study 1, grounded theory methodology is utilized to define and identify the five dimensions of CIF: content presentation, time granularity setting, delivery medium selection, translation internalization, and environment creation. Study 2 then develops a dependable and validated 20-item CIF scale, subsequently affirmed for applicability and the nomological network in Study 3. Overall, our findings establish a fundamental measurement scale for quantitative studies of CIF, while also developing a theoretical framework for designing field experiments and interventions. Furthermore, this study contributes to the advancement of the existing literature on environmental behavior.

Suggested Citation

  • Zha, Donglan & Zhang, Chaoqun & Jiang, Pansong & Wang, Fu, 2024. "What makes energy consumption behavior visible? Conceptualization, scale development and validation of customized information feedback," Journal of Business Research, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:jbrese:v:182:y:2024:i:c:s0148296324002650
    DOI: 10.1016/j.jbusres.2024.114761
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    as
    1. Zhang, Chaoqun & Zha, Donglan & Jiang, Pansong & Wang, Fu & Yang, Guanglei & Salman, Muhammad & Wu, Qing, 2023. "The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Farrow, Katherine & Grolleau, Gilles & Ibanez, Lisette, 2017. "Social Norms and Pro-environmental Behavior: A Review of the Evidence," Ecological Economics, Elsevier, vol. 140(C), pages 1-13.
    3. Khosrowpour, Ardalan & Xie, Yimeng & Taylor, John E. & Hong, Yili, 2016. "One size does not fit all: Establishing the need for targeted eco-feedback," Applied Energy, Elsevier, vol. 184(C), pages 523-530.
    4. World Bank & UNHCR, 2021. "The Global Cost of Inclusive Refugee Education," World Bank Publications - Reports 35238, The World Bank Group.
    5. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2010. "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, Elsevier, vol. 38(10), pages 6111-6119, October.
    6. Gosnell, Greer K., 2018. "Communicating Resourcefully: A Natural Field Experiment on Environmental Framing and Cognitive Dissonance in Going Paperless," Ecological Economics, Elsevier, vol. 154(C), pages 128-144.
    7. Luis E C Rocha & Petter Holme & Claudio D G Linhares, 2022. "The global migration network of sex-workers," Journal of Computational Social Science, Springer, vol. 5(1), pages 969-985, May.
    8. Büchs, Milena & Bahaj, AbuBakr S. & Blunden, Luke & Bourikas, Leonidas & Falkingham, Jane & James, Patrick & Kamanda, Mamusu & Wu, Yue, 2018. "Promoting low carbon behaviours through personalised information? Long-term evaluation of a carbon calculator interview," Energy Policy, Elsevier, vol. 120(C), pages 284-293.
    9. Kim, Jin Han & Kaemingk, Michael, 2021. "Persisting effects of social norm feedback letters in reducing household electricity usage in Post-Soviet Eastern Europe: A randomized controlled trial," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 153-161.
    10. Colantone, Italo & Ottaviano, Gianmarco & Stanig, Piero, 2021. "The backlash of globalization," LSE Research Online Documents on Economics 113860, London School of Economics and Political Science, LSE Library.
    11. Nemati, Mehdi & Penn, Jerrod, 2020. "The impact of information-based interventions on conservation behavior: A meta-analysis," Resource and Energy Economics, Elsevier, vol. 62(C).
    12. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    13. Mark F Olson & Jose G Juarez & Moritz U G Kraemer & Jane P Messina & Gabriel L Hamer, 2021. "Global patterns of aegyptism without arbovirus," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(5), pages 1-12, May.
    14. Farrow, Katherine & Grolleau, Gilles & Ibanez, Lisette, 2017. "Social Norms and Pro-environmental Behavior: A Review of the Evidence," Ecological Economics, Elsevier, vol. 140(C), pages 1-13.
    15. Stacey R. Finkelstein & Ayelet Fishbach, 2012. "Tell Me What I Did Wrong: Experts Seek and Respond to Negative Feedback," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(1), pages 22-38.
    16. Heijmans, Roweno J.R.K., 2021. "On Environmental Externalities and Global Games," Other publications TiSEM bf63c5db-9095-47be-b338-a, Tilburg University, School of Economics and Management.
    17. Buchanan, Kathryn & Russo, Riccardo & Anderson, Ben, 2015. "The question of energy reduction: The problem(s) with feedback," Energy Policy, Elsevier, vol. 77(C), pages 89-96.
    18. Ponzoa, José M. & Gómez, Andrés & Villaverde, Silvia & Díaz, Vicente, 2021. "Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    19. Yan, Ruihe & Gong, Xiang, 2022. "Peer-to-peer accommodation platform affordance: Scale development and empirical investigation," Journal of Business Research, Elsevier, vol. 144(C), pages 922-938.
    20. Ozawa-Meida, Leticia & Wilson, Caroline & Fleming, Paul & Stuart, Graeme & Holland, Carl, 2017. "Institutional, social and individual behavioural effects of energy feedback in public buildings across eleven European cities," Energy Policy, Elsevier, vol. 110(C), pages 222-233.
    21. Jahanvi, Jahanvi & Sharma, Meenakshi, 2021. "Brand respect: Conceptualization, scale development and validation," Journal of Business Research, Elsevier, vol. 132(C), pages 115-123.
    22. Foulds, Chris & Robison, Rosalyn A.V. & Macrorie, Rachel, 2017. "Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool," Energy Policy, Elsevier, vol. 104(C), pages 194-202.
    23. Pandiya, Ridwan & Widodo, Widodo & Salmah, & Endrayanto, Irwan, 2021. "Non parameter-filled function for global optimization," Applied Mathematics and Computation, Elsevier, vol. 391(C).
    24. Penelope Buckley, 2020. "Prices, information and nudges for residential electricity conservation : A meta-analysis," Post-Print hal-02500507, HAL.
    25. Qiang Yang & Patrick Weigelt & Trevor S. Fristoe & Zhijie Zhang & Holger Kreft & Anke Stein & Hanno Seebens & Wayne Dawson & Franz Essl & Christian König & Bernd Lenzner & Jan Pergl & Robin Pouteau & , 2021. "The global loss of floristic uniqueness," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    26. Ruokamo, Enni & Meriläinen, Teemu & Karhinen, Santtu & Räihä, Jouni & Suur-Uski, Päivi & Timonen, Leila & Svento, Rauli, 2022. "The effect of information nudges on energy saving: Observations from a randomized field experiment in Finland," Energy Policy, Elsevier, vol. 161(C).
    27. Robinson, Stacey & Orsingher, Chiara & Alkire, Linda & De Keyser, Arne & Giebelhausen, Michael & Papamichail, K. Nadia & Shams, Poja & Temerak, Mohamed Sobhy, 2020. "Frontline encounters of the AI kind: An evolved service encounter framework," Journal of Business Research, Elsevier, vol. 116(C), pages 366-376.
    28. 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.
    29. Kathryn Buchanan & Riccardo Russo, 2019. "Money doesn’t matter! Householders’ intentions to reduce standby power are unaffected by personalised pecuniary feedback," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-16, October.
    30. Gosnell, Greer, 2018. "Communicating resourcefully: a natural field experiment on environmental framing and cognitive dissonance in going paperless," LSE Research Online Documents on Economics 89815, London School of Economics and Political Science, LSE Library.
    31. Andor, Mark A. & Fels, Katja M., 2018. "Behavioral Economics and Energy Conservation – A Systematic Review of Non-price Interventions and Their Causal Effects," Ecological Economics, Elsevier, vol. 148(C), pages 178-210.
    32. Buckley, Penelope, 2020. "Prices, information and nudges for residential electricity conservation: A meta-analysis," Ecological Economics, Elsevier, vol. 172(C).
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