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dc.contributor.authorPfeiffer, Jurij
dc.contributor.authorvon Entreß-Fürsteneck, Matthias
dc.contributor.authorUrbach, Nils
dc.contributor.authorBuchwald, Arne
dc.date.accessioned2020-03-31T08:52:42Z
dc.date.available2020-03-31T08:52:42Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.12127/6458
dc.description.abstractThe usage of wearable self-tracking technology has recently emerged as a new big trend in lifestyle and personal optimization in terms of health, fitness and well-being. Currently, only little is known about why people plan or start using such devices. Thus, in our research project, we aim at answering the question of what drives the usage intention of wearable self-tracking technology. Therefore, based on established technology acceptance theories, we deductively develop an acceptance model for wearable self-tracking technologies which sheds light on the pre-adoption criteria of such devices. We validate our proposed model by means of structural equation modeling using empirical data collected in a survey among 206 potential users. Our study identifies perceived usefulness, perceived enjoyment, social influ-ence, trust, personal innovativeness, and perceived support of well-being as the strongest drivers for the intention to use wearable self-tracking technologies. By accounting for the influence of the demographic factors age and gender, we provide a further refined picture.
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSelf-tracking
dc.subjectQuantified-Self
dc.subjectPersonal Optimization
dc.subjectWearables
dc.subjectInformation Systems Adoption
dc.subjectInnovation Diffusion
dc.subjectTechnology Acceptance
dc.titleQuantify-me: consumer acceptance of wearable self-tracking devices
refterms.dateFOA2020-03-31T08:52:42Z
dc.source.numberofpages16
dc.contributor.departmentIndustry Software GmbH, Höhr-Grenzhausen, Germany
dc.contributor.departmentUniversity of Bayreuth, Bayreuth
dc.contributor.departmentEBS Business School, Wiesbaden, Germany
vlerick.conferencedate12/06/2016-15/06/2016
vlerick.conferencelocationIstanbul, Turkey
vlerick.conferencename24th European Conference on Information Systems
vlerick.conferenceorganiserECIS
vlerick.knowledgedomainDigital Transformation
vlerick.typeconfpresConference Proceeding
vlerick.vlerickdepartmentTOM
dc.identifier.vperid270410


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/