期刊
ENERGY RESEARCH & SOCIAL SCIENCE
卷 25, 期 -, 页码 93-104出版社
ELSEVIER
DOI: 10.1016/j.erss.2016.12.011
关键词
Smart meters; Trust; Privacy concern; Energy; Sustainable energy technology acceptance model and Technology acceptance model
资金
- Engineering Research Center Program of the National Science Foundation
- Department of Energy under NSF Award [EEC-1041877]
- CURENT Industry Partnership Program
This study investigated a set of social-psychological predictors affecting smart meter support and adoption intention based on the Technology Acceptance and Sustainable Energy Technology Acceptance Models among 711 U.S. residents. Despite low levels of adoption in the U.S., this study suggested that the majority of our participants supported smart meter technology and were willing to adopt this technology. Two perceived technology attributes - usefulness and risk to privacy - had direct effects on support for smart meter installation and adoption intention, while the other technology attribute, perceived cost, had no impact. Individual differences in trust in one's utility company and problem perception related to energy issues affected support and adoption intention through the mediators of perceived usefulness and privacy risk. Problem perception also had direct effects on support and adoption intention. Democrats reported higher levels of trust in utility companies and problem perception than non-Democrats. This study provides useful insights for utility managers, researchers and policy makers. Published by Elsevier Ltd.
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