About: Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19

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About: Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19
Creator	Li, Jiayi Zarazua De Rubens, Gerardo Xu, Xiaojing Chen, Chien-Fei
Source	Elsevier; Medline; PMC
abstract	This study explores energy use patterns, climate change issues, and the relationship between social-psychological factors, and residents’ acceptance of and willingness to pay (WTP) for home energy management systems (HEMS) during COVID-19 pandemic in New York. The results of our survey suggest that there were no longer morning or evening usage peaks on weekdays during COVID-19. A significant portion of respondents is experiencing higher or much higher electricity use than average. Most residents perceived climate change issues during COVID-19 being about the same as before. Attitude perceived behavioral control and social norms are overall the strongest predictors of adoption intention and WTP. Regarding WTP for specific well-being features, attitude was the strongest positive predictor of telemedical and home security, and social norms are the strongest positive predictor of elderly assistance and job search. Technology anxiety, surprisingly, positively influence WTP for well-being features. Trust in utilities is not related to adoption intention, but is positively associated with WTP for the well-being features. Although cybersecurity concern is positively related to HEMS adoption intention for energy and well-being features, this relationship is not significant in WTP. Residents who had a moderate level of the perceived risk of getting infected by COVID-19 are willing to pay more than the high- and low-risk groups. This paper addresses the multi-dimensionality by focusing on the interaction among technology attributes such as energy and well-being features, and users’ social-psychological and demographics factors. This study provides insights for further research in examining similar topics relating to COVID-19 energy issues.
has issue date	2020-07-07(xsd:dateTime)
bibo:doi	10.1016/j.erss.2020.101688
bibo:pmid	32839705
has license	no-cc
sha1sum (hex)	5de7930ea337c0efa231056158d1da59a80c2070
schema:url	https://doi.org/10.1016/j.erss.2020.101688
resource representing a document's title	Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19
has PubMed Central identifier	PMC7341977
has PubMed identifier	32839705
schema:publication	Energy Res Soc Sci
resource representing a document's body	covid:5de7930ea337c0efa231056158d1da59a80c2070#body_text
is schema:about of	named entity 'groups' named entity 'assistance' named entity 'usage' named entity 'COVID-19' named entity 'users' named entity 'Journal' named entity 'INFLUENCE' named entity 'COVID-19' named entity 'CONCERN' named entity 'MULTI' named entity 'MORNING' covid:arg/5de7930ea337c0efa231056158d1da59a80c2070 named entity 'moderate' named entity 'COVID-19' named entity 'climate change' named entity 'higher' named entity 'well-being' named entity 'Europe' named entity 'WTP' named entity 'electricity' named entity 'COVID-19' named entity 'New York' named entity 'global population' named entity 'Home energy management systems' named entity 'HEMS' named entity 'Great Depression' named entity 'energy costs' named entity 'energy usage' named entity 'peaks' named entity 'intention' named entity 'pay' named entity 'fauna' named entity 'climate change' named entity 'wholesale price' named entity 'TPB' named entity 'WTP' named entity 'HEMS' named entity 'WTP' named entity 'HEMS' named entity 'HEMS' named entity 'climate change' named entity 'recession in 2008' named entity 'climate change impacts' named entity 'HEMS' named entity 'HEMS' named entity 'COVID-19' named entity 'electricity' named entity 'HEMS' named entity 'TPB' named entity 'power grid' named entity 'pandemics' named entity 'HEMS' named entity 'New York' named entity 'climate change' named entity 'patterns' named entity 'utilities' named entity 'pay' named entity 'COVID-19' named entity 'climate change' named entity 'climate change' named entity 'COVID-19' named entity 'willingness to pay' named entity 'WTP' named entity 'well-being' named entity 'well-being' named entity 'New York' named entity 'electricity' named entity 'U.S.' named entity 'quarantine' named entity 'TPB' named entity 'Technology Acceptance Model' named entity 'Remote work' named entity 'demographic factors' named entity 'electricity' named entity 'electricity' named entity 'electricity demand' named entity 'willingness to pay' named entity 'COVID-19 pandemic'

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