Publication:
Highlighting the Contributing Factors of Smart Meter Adoption in Klang Valley

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dc.contributor.authorAbdullah A.en_US
dc.contributor.authorWan Mohamad Norafi W.H.en_US
dc.contributor.authorAbdul Latif N.W.en_US
dc.contributor.authorZahari A.R.en_US
dc.contributor.authorKaman Z.K.en_US
dc.contributor.authorIsmail Z.en_US
dc.contributor.authorYusoff N.S.en_US
dc.contributor.authorid26967528100en_US
dc.contributor.authorid57361521200en_US
dc.contributor.authorid37101165500en_US
dc.contributor.authorid57216607750en_US
dc.contributor.authorid57191035364en_US
dc.contributor.authorid57189238640en_US
dc.contributor.authorid57361652800en_US
dc.date.accessioned2023-05-29T09:10:42Z
dc.date.available2023-05-29T09:10:42Z
dc.date.issued2021
dc.descriptionAdoption; Contributing factor; Perceived usefulness; Potential users; Social influence; Technology acceptance model; Utilities companies; Smart metersen_US
dc.description.abstractThis study aimed to examine the contributing factors of smart meter adoption amongst household. A survey was conducted amongst 529 potential smart meter users in Klang Valley. The results indicated that the factors that contributed significantly to the willingness to adopt smart meter amongst potential users were smart meter awareness, social influence, perceived usefulness, user expected satisfaction and trust in utility company. The findings will assist the utility company in identifying the contributing factors to smart meter adoption and craft the right strategy to ensure that the installation of smart meter amongst all residentials can be successful. The findings were also used to develop an index called smart meter Adoption Index (SMAI). � 2021, Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-90235-3_57
dc.identifier.epage675
dc.identifier.scopus2-s2.0-85120530047
dc.identifier.spage665
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120530047&doi=10.1007%2f978-3-030-90235-3_57&partnerID=40&md5=47f9ce27a87cd2f3adbcfc6f97ac3b1f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26453
dc.identifier.volume13051 LNCS
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.titleHighlighting the Contributing Factors of Smart Meter Adoption in Klang Valleyen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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