Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61423
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dc.contributor.authorTalukder, Md Shamimen
dc.contributor.authorChiong, Raymonden
dc.contributor.authorBao, Yukunen
dc.contributor.authorHayat Malik, Baburen
dc.date.accessioned2024-07-10T01:02:56Z-
dc.date.available2024-07-10T01:02:56Z-
dc.date.issued2019-
dc.identifier.citationIndustrial Management and Data Systems, 119(1), p. 170-188en
dc.identifier.issn1758-5783en
dc.identifier.issn0263-5577en
dc.identifier.urihttps://hdl.handle.net/1959.11/61423-
dc.description.abstract<p><b>Purpose</b> – The purpose of this paper is to identify the key facilitators and inhibitors of fitness wearable technology (FWT) adoption and the intention to recommend this technology.</p> <p><b>Design/methodology/approach</b> – An innovative and integrated research model was developed by combining constructs from two well-established theoretical models, the extended unified theory of acceptance and use of technology (UTAUT2) and diffusion of innovation (DOI). The proposed research model was empirically validated using data collected from 392 respondents in China. The data was analyzed using the partial least squares method, a statistical analysis technique based on structural equation modeling.</p> <p><b>Findings</b> – The results indicate that performance expectancy, effort expectancy, social influence, habit, compatibility and innovativeness have significant direct and indirect effects on FWT adoption and the intention to recommend it. The significance of people's intention to recommend FWT to others in social networking sites (e.g. Facebook, Weibo, and WeChat) is also confirmed.</p> <p><b>Practical implications</b> – The findings may facilitate the design and implementation of FWT products, applications and functionalities that can achieve high consumer acceptance and positive recommendations in social networks.</p> <p><b>Originality/value</b> – This study is among the first to investigate FWT adoption from behavioral, social and environmental perspectives. It also highlights the importance of social marketing campaigns and suggests directions of future wearable technology adoption research.</p>en
dc.languageenen
dc.publisherEmerald Publishing Limiteden
dc.relation.ispartofIndustrial Management and Data Systemsen
dc.titleAcceptance and use predictors of fitness wearable technology and intention to recommend: An empirical studyen
dc.typeJournal Articleen
dc.identifier.doi10.1108/IMDS-01-2018-0009en
local.contributor.firstnameMd Shamimen
local.contributor.firstnameRaymonden
local.contributor.firstnameYukunen
local.contributor.firstnameBaburen
local.profile.schoolSchool of Science & Technologyen
local.profile.emailrchiong@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage170en
local.format.endpage188en
local.peerreviewedYesen
local.identifier.volume119en
local.identifier.issue1en
local.title.subtitleAn empirical studyen
local.contributor.lastnameTalukderen
local.contributor.lastnameChiongen
local.contributor.lastnameBaoen
local.contributor.lastnameHayat Maliken
dc.identifier.staffune-id:rchiongen
local.profile.orcid0000-0002-8285-1903en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61423en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAcceptance and use predictors of fitness wearable technology and intention to recommenden
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorTalukder, Md Shamimen
local.search.authorChiong, Raymonden
local.search.authorBao, Yukunen
local.search.authorHayat Malik, Baburen
local.uneassociationNoen
dc.date.presented2019-
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2019en
local.year.presented2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/2b392ba5-e06e-4d87-b1ed-7b96ae2ac81aen
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-26en
Appears in Collections:Journal Article
School of Science and Technology
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