Changing Personal Healthcare IT Use during the COVID-19 Pandemic

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dc.contributor.authorWilliams, Jason
dc.contributor.authorGupta, Saurabh
dc.date.accessioned2021-12-24T17:55:33Z
dc.date.available2021-12-24T17:55:33Z
dc.date.issued2022-01-04
dc.description.abstractWe examine post-adoptive IT use of fitness tracking technologies longitudinally using three data sets gathered before, during, and after the COVID-19 lockdowns in the United States. Using adaptive structuration theory (AST) as a meta-theory, we model post-adoptive IT use as having two fundamental types (continued and novel), each having distinct psychological and sociological antecedents. Sociological antecedents are further broken down into those coming from society and those coming from the technology. Findings indicate there are strong correlations between antecedents and the two types of use in all three data sets. Post-hoc analysis indicates continued and novel use vary across time. These variations are not static and appear to be non-linear. Implications and future research directions are also discussed.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.495
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79831
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPersonal Health and Wellness Management with Technologies
dc.subjectcovid-19
dc.subjectfitness tracker
dc.subjectit use
dc.subjectpost-adoption
dc.titleChanging Personal Healthcare IT Use during the COVID-19 Pandemic
dc.type.dcmitext

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