TY - JOUR
T1 - Sustainable technologies adoption research
T2 - A weight and meta-analysis
AU - Neves, Catarina
AU - Oliveira, Tiago
AU - Santini, Fernando
N1 - info:eu-repo/grantAgreement/EC/H2020/957736/EU#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
Neves, C., Oliveira, T., & Santini, F. (2022). Sustainable technologies adoption research: A weight and meta-analysis. Renewable and Sustainable Energy Reviews, 165, 1-9. [112627]. https://doi.org/10.1016/j.rser.2022.112627
PY - 2022/9
Y1 - 2022/9
N2 - Along with escalating environmental problems, the role of technologies in mitigating those problems has also increased. Researchers have been studying the adoption of sustainable technologies, and the number of articles on the topic has grown in recent years. The current study presents a weight and meta-analysis that synthesizes and combines previous literature on sustainable technologies adoption, evaluating the state of the art and providing a comprehensive picture of the phenomena. Using 44 articles and 48 datasets, the results demonstrate that attitude, benefits, personal norms, incentives, and perceived behavioral control are the best predictors of the behavioral intention of sustainable technologies adoption. Moreover, journal ranking, innovation, individualism, and long-term orientation, as cultural moderators, as well as electricity access and renewable energy, as energy efficiency indicators, were found to moderate subjective norms and behavioral intention. The findings of this study are relevant for future research support.
AB - Along with escalating environmental problems, the role of technologies in mitigating those problems has also increased. Researchers have been studying the adoption of sustainable technologies, and the number of articles on the topic has grown in recent years. The current study presents a weight and meta-analysis that synthesizes and combines previous literature on sustainable technologies adoption, evaluating the state of the art and providing a comprehensive picture of the phenomena. Using 44 articles and 48 datasets, the results demonstrate that attitude, benefits, personal norms, incentives, and perceived behavioral control are the best predictors of the behavioral intention of sustainable technologies adoption. Moreover, journal ranking, innovation, individualism, and long-term orientation, as cultural moderators, as well as electricity access and renewable energy, as energy efficiency indicators, were found to moderate subjective norms and behavioral intention. The findings of this study are relevant for future research support.
KW - Individual adoption
KW - Meta-analysis
KW - Sustainable technology
KW - Weight-analysis
UR - http://www.scopus.com/inward/record.url?scp=85131088184&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000811430600001
U2 - 10.1016/j.rser.2022.112627
DO - 10.1016/j.rser.2022.112627
M3 - Review article
AN - SCOPUS:85131088184
SN - 1364-0321
VL - 165
SP - 1
EP - 9
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
M1 - 112627
ER -