Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/10365
Autoria: | Guerreiro, S. Batel, S. Lima, M. L. Moreira, S. |
Data: | 2015 |
Título próprio: | Making energy visible: sociopsychological aspects associated with the use of smart meters |
Volume: | 8 |
Número: | 6 |
Paginação: | 1149 - 1167 |
ISSN: | 1570-646X |
DOI (Digital Object Identifier): | 10.1007/s12053-015-9344-4 |
Palavras-chave: | Energy efficiency Justice perception Risk perception Smart meters Technology acceptance model Theory of reasoned action |
Resumo: | This study aims to improve the understanding of the sociopsychological and technological aspects that influence the use of smart meters—innovative electricity meters that provide real-time data on consumption and are instrumental in increasing energy efficiency. Few studies have examined the sociopsychological factors that influence their use. We argue that the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and other specific factors from the social psychology literature, such as perceived procedural justice and risk perception, can help understand what determines the use of smart meters. To empirically examine that, first a quantitative survey was conducted with 515 households with smart meters installed. Results indicate that smart meter use is influenced by subjective norms, perceived utility, health-related risk perception, procedural justice, and time of usage. In a second study, internet blogs discussing smart meters were analyzed. This study corroborated some of the results of the first study and suggested additional factors—such as perceived distributive injustice and loss of control and privacy-related risk perception—that may influence the use of smart meters. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | CIS-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Post-print EE 2015.pdf | Pós-print | 1,68 MB | Adobe PDF | Ver/Abrir |
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