Citation link: http://dx.doi.org/10.25819/ubsi/27
DC FieldValueLanguage
dc.contributor.authorVaziri, Daryoush Daniel-
dc.contributor.authorGiannouli, Eleftheria-
dc.contributor.authorFrisiello, Antonella-
dc.contributor.authorKaartinen, Nico-
dc.contributor.authorWieching, Rainer-
dc.contributor.authorSchreiber, Dirk-
dc.contributor.authorWulf, Volker-
dc.date.accessioned2019-09-02T10:32:03Z-
dc.date.available2019-09-2T12:12:12Z-
dc.date.available2019-09-02T10:32:03Z-
dc.date.issued2019de
dc.description.abstractAim of this study is to investigate the influence of technological and social cognitive factors for the use of sensor-based technologies for active and ealthy ageing (AHA) support by older adults. In a mixed methods approach, data was initially obtained from an online questionnaire completed by older health technology users and used in a regression analysis, where factors from the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT) served as predictors for health technology use (HTU). Further, in-depth interviews were conducted with older adults to gain insights into technology use and physical activity behaviour of older adults. The regression analysis showed that the TAM and SCT factors accounted for a significant proportion of variance (39.5%) in HTU. Significant predictors of HTU were physical activity (.399**), social support (.287*), and expectations regarding individual health (.440*) and physical appearance (?.470**),indicating physical activity as mediator for HTU. The qualitative analysis indicated the conflation of technology support with social environments as key for physical activity behaviour in older adults. The findings indicate physical activity as a mediator in HTU by older adults and suggest that the consideration of social factors in health technology design may facilitate the uptake of AHA technologies.en
dc.identifier.doihttp://dx.doi.org/10.25819/ubsi/27-
dc.identifier.urihttps://dspace.ub.uni-siegen.de/handle/ubsi/1494-
dc.identifier.urnurn:nbn:de:hbz:467-14940-
dc.language.isoende
dc.rights.urihttps://dspace.ub.uni-siegen.de/static/license.txtde
dc.sourceBehaviour & Information Technology. - ISSN: 1362-3001. - DOI: 10.1080/0144929X.2019.1637457de
dc.subject.ddc610 Medizin, Gesundheitde
dc.subject.otherTAMde
dc.subject.otherIKTde
dc.subject.otherGesundheitde
dc.subject.otherGestaltungde
dc.subject.otherKognitionstheoriende
dc.subject.otherTechnology acceptance modelen
dc.subject.otherHealth information technologyen
dc.subject.otherHealthen
dc.subject.otherTechnology designen
dc.subject.otherSocial cognitive theoryen
dc.subject.swbGesundheit / Technologiede
dc.subject.swbGesundheitsfürsorgede
dc.subject.swbAkzeptanzde
dc.subject.swbÄlterer Menschde
dc.titleExploring influencing factors of technology use for active and healthy ageing support in older adultsen
dc.typeArticlede
item.fulltextWith Fulltext-
ubsi.publication.affiliationFakultät III - Wirtschaftswissenschaften, Wirtschaftsinformatik und Wirtschaftsrechtde
ubsi.publication.affiliationLehrstuhl für Wirtschaftsinformatik und Neue Mediende
ubsi.subject.ghbsOIFde
ubsi.subject.ghbsQGTXde
ubsi.subject.ghbsVWGde
ubsi.subject.ghbsVYCde
ubsi.type.versionpublishedVersionde
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