The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
The psychology of participation and interest in smart energy systems: Comparing the value-belief-norm theory and the value-identity-personal norm model
Open accessAbstract
Environmental problems can be reduced if people would participate in smart energy systems. Little is known about which factors motivate people to actually participate in smart energy systems. We tested the factors that influence individuals’ interest and actual participation in smart energy systems. We compared the predictive power of the value-belief-norm theory with a novel model to explain pro-environmental actions: the value-identity-personal norm model. Both focus on normative considerations in explaining behaviour, but the VIP model focuses on general rather than behaviour-specific antecedents. Our results show that both models explained a similar amount of variance in interest and actual participation in smart energy systems. This suggests that the value-identity-personal norm model is a promising model to explain and promote pro-environmental actions such as participation in smart grids. Further, it is more parsimonious than the value-belief-norm theory and focuses on general factors that are likely to predict other environmental behaviours as well. The value-identity-personal norm model is therefore a particularly promising model in promoting a range of environmental behaviours.
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Cites
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Cited by
Smart energy and smart energy systems
Lund, H., Østergaard, P. A., Connolly, D., & Mathiesen, B. V. (2017) · Energy · doi:10.1016/j.energy.2017.05.123 · Cited by 1,157
Kim, S. H., & Seock, Y.-K. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.05.023 · Cited by 369
Ateş, H. (2020) · Sustainable Production and Consumption · doi:10.1016/j.spc.2020.07.006 · Cited by 303
Quoquab, F., Jaini, A., & Mohammad, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17145258 · Cited by 80
Tilikidou, I., & Delistavrou, A. (2023) · Behavioral Sciences · doi:10.3390/bs13060518 · Cited by 6
Metadata
- Authors
- van der Werff, E., & Steg, L.
- Venue
- Energy Research & Social Science
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 22
- Pages
- 107-114
- ISSN
- 2214-6296 (ISSN-L)
- OpenAlex
- W2521104665
- Cited by
- 346
- References
- 40
- FWCI
- 38.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
