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An Empirical Study of the Acceptance of IoT-Based Smart Meter in Malaysia: The Effect of Electricity-Saving Knowledge and Environmental Awareness

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dc.citedby32
dc.contributor.authorAlkawsi G.A.en_US
dc.contributor.authorAli N.en_US
dc.contributor.authorBaashar Y.en_US
dc.contributor.authorid57191982354en_US
dc.contributor.authorid54985243500en_US
dc.contributor.authorid56768090200en_US
dc.date.accessioned2023-05-29T08:13:50Z
dc.date.available2023-05-29T08:13:50Z
dc.date.issued2020
dc.descriptionEnergy conservation; Environmental technology; Housing; Internet of things; Smart meters; Acceptance models; Behavioural intentions; Environmental awareness; Internet of thing (IOT); Technological solution; Technology acceptance model; Unified theory of acceptance and use of technology; UTAUT2; Electric power measurementen_US
dc.description.abstractToday's increasing demand for electricity requires solutions that better align with energy demand and supply. Innovative technological solutions such as smart metering applications are gaining popularity among electricity providers. Despite numerous benefits, smart meters, a part of the technology on the Internet of Things (IoT), continue to struggle for widespread consumer acceptance due to limited knowledge on electricity savings and environmental awareness. These factors were examined in isolation and have not been theoretically incorporated or examined. Hence, this study investigates the factors that influence residential consumers' acceptance of smart meters by integrating electricity-saving knowledge and environmental awareness with the second generation of 'unified theory of acceptance and use of technology' (UTAUT2). The literature revealed an important link between users' behavioural intention and users' use behaviour. Well-established theories of acceptance like 'technology acceptance model' (TAM) and UTAUT, incorporate the behavioural intention variable in the nomological network of technology adoption determinants. This study highlighted the impact of users' behavioural intention on users' use behaviour, which was not examined previously by any of the smart meter acceptance models. The data were collected from 318 consumers of residential smart meters in Putrajaya and Malacca, the cities in Malaysia, and were statistically tested using SME-PLS The study confirms that adding electricity-saving knowledge and environmental awareness to the UTAUT2 leads to a significant increase in the explained variance in consumer acceptance of smart meter. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9018034
dc.identifier.doi10.1109/ACCESS.2020.2977060
dc.identifier.epage42804
dc.identifier.scopus2-s2.0-85081648669
dc.identifier.spage42794
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85081648669&doi=10.1109%2fACCESS.2020.2977060&partnerID=40&md5=632886432b171bff6cdd0b588471bc3e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25754
dc.identifier.volume8
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleAn Empirical Study of the Acceptance of IoT-Based Smart Meter in Malaysia: The Effect of Electricity-Saving Knowledge and Environmental Awarenessen_US
dc.typeArticleen_US
dspace.entity.typePublication
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