Changing Post-Adoptive Personal Healthcare IT Use during the COVID-19 Pandemic

Jason A. Williams, Saurabh Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages4057-4066
Number of pages10
ISBN (Electronic)9780998133157
StatePublished - 2022
Event55th Annual Hawaii International Conference on System Sciences, HICSS 2022 - Virtual, Online, United States
Duration: Jan 3 2022Jan 7 2022

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2022-January
ISSN (Print)1530-1605

Conference

Conference55th Annual Hawaii International Conference on System Sciences, HICSS 2022
Country/TerritoryUnited States
CityVirtual, Online
Period1/3/221/7/22

ASJC Scopus subject areas

  • General Engineering

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