Cargando…

Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology

Background: This paper, in the frame of social acceptance of renewable energies and innovative community-based production and consumption models, aims at supporting a data-driven approach able to deal with climate change and identify and quantify the psycho-sociological dimensions and factors that c...

Descripción completa

Detalles Bibliográficos
Autores principales: Brambati, Francois, Ruscio, Daniele, Biassoni, Federica, Hueting, Rebecca, Tedeschi, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539723/
https://www.ncbi.nlm.nih.gov/pubmed/37781319
http://dx.doi.org/10.12688/openreseurope.14950.1
_version_ 1785113564341600256
author Brambati, Francois
Ruscio, Daniele
Biassoni, Federica
Hueting, Rebecca
Tedeschi, Alessandra
author_facet Brambati, Francois
Ruscio, Daniele
Biassoni, Federica
Hueting, Rebecca
Tedeschi, Alessandra
author_sort Brambati, Francois
collection PubMed
description Background: This paper, in the frame of social acceptance of renewable energies and innovative community-based production and consumption models, aims at supporting a data-driven approach able to deal with climate change and identify and quantify the psycho-sociological dimensions and factors that could support the transition from a technology-driven approach to a consumer-driven approach throughout the emerging “ prosumer business models”. In addition to the already existing Social Acceptance dimensions, this paper tries to identify a purely individual psychological fourth dimension to understand the processes and factors that underlie individual acceptance and adoption of new renewable energy business models, with the realization of a Prosumer Acceptance Index. Methods: Questionnaire data collection has been performed throughout an online survey platform, combining standardized and ad-hoc questions adapted for the research purposes, based on the developed theoretical model. To identify the main factors (individual/social) influencing the relation with renewable energy technology adoption, a Factorial Analysis has been conducted to identify the latent variables that are related to each other. Linear regression has been conducted to identify and quantify the factors that could better predict behavioural intention to become a prosumer. Results: Five latent psychological factors were revealed: concern about environmental issues, interest in energy sharing, concern on climate change, social influence and impact on bill cost. Three variables were found to significantly measure and predict the scores of the “Acceptance in becoming a prosumer” ad hoc scale: attitude, economic incentive and age. Conclusions: This research can facilitate policymakers and stakeholders to better understand which relevant psycho-sociological factors are intervening in the renewable energy technology acceptance processes and what and how specifically target when proposing change towards sustainable energy production and consumption.
format Online
Article
Text
id pubmed-10539723
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher F1000 Research Limited
record_format MEDLINE/PubMed
spelling pubmed-105397232023-09-30 Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology Brambati, Francois Ruscio, Daniele Biassoni, Federica Hueting, Rebecca Tedeschi, Alessandra Open Res Eur Research Article Background: This paper, in the frame of social acceptance of renewable energies and innovative community-based production and consumption models, aims at supporting a data-driven approach able to deal with climate change and identify and quantify the psycho-sociological dimensions and factors that could support the transition from a technology-driven approach to a consumer-driven approach throughout the emerging “ prosumer business models”. In addition to the already existing Social Acceptance dimensions, this paper tries to identify a purely individual psychological fourth dimension to understand the processes and factors that underlie individual acceptance and adoption of new renewable energy business models, with the realization of a Prosumer Acceptance Index. Methods: Questionnaire data collection has been performed throughout an online survey platform, combining standardized and ad-hoc questions adapted for the research purposes, based on the developed theoretical model. To identify the main factors (individual/social) influencing the relation with renewable energy technology adoption, a Factorial Analysis has been conducted to identify the latent variables that are related to each other. Linear regression has been conducted to identify and quantify the factors that could better predict behavioural intention to become a prosumer. Results: Five latent psychological factors were revealed: concern about environmental issues, interest in energy sharing, concern on climate change, social influence and impact on bill cost. Three variables were found to significantly measure and predict the scores of the “Acceptance in becoming a prosumer” ad hoc scale: attitude, economic incentive and age. Conclusions: This research can facilitate policymakers and stakeholders to better understand which relevant psycho-sociological factors are intervening in the renewable energy technology acceptance processes and what and how specifically target when proposing change towards sustainable energy production and consumption. F1000 Research Limited 2022-09-29 /pmc/articles/PMC10539723/ /pubmed/37781319 http://dx.doi.org/10.12688/openreseurope.14950.1 Text en Copyright: © 2022 Brambati F et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Brambati, Francois
Ruscio, Daniele
Biassoni, Federica
Hueting, Rebecca
Tedeschi, Alessandra
Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
title Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
title_full Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
title_fullStr Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
title_full_unstemmed Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
title_short Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
title_sort predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539723/
https://www.ncbi.nlm.nih.gov/pubmed/37781319
http://dx.doi.org/10.12688/openreseurope.14950.1
work_keys_str_mv AT brambatifrancois predictingacceptanceandadoptionofrenewableenergycommunitysolutionstheprosumerpsychology
AT rusciodaniele predictingacceptanceandadoptionofrenewableenergycommunitysolutionstheprosumerpsychology
AT biassonifederica predictingacceptanceandadoptionofrenewableenergycommunitysolutionstheprosumerpsychology
AT huetingrebecca predictingacceptanceandadoptionofrenewableenergycommunitysolutionstheprosumerpsychology
AT tedeschialessandra predictingacceptanceandadoptionofrenewableenergycommunitysolutionstheprosumerpsychology