Patients’ Resistance towards Health Information Technology A Perspective of the Dual Factor Model of IT Usage

dc.contributor.author Samhan, Bahae
dc.date.accessioned 2016-12-29T01:18:42Z
dc.date.available 2016-12-29T01:18:42Z
dc.date.issued 2017-01-04
dc.description.abstract This paper presents a research model of patients’ resistance towards Health Information Technology (HIT). In particularly it examines patients’ reactions towards a new Patient Portal System (PPS). This work provides an integration of the technology acceptance and resistance to change literatures. The Resistance to Change construct from the User Resistance Model (URM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are bridged using the dual-factor model of technology usage. This model explains the asymmetric effects of use inhibitors such as Resistance to Change on use enablers such as Performance Expectancy and Effort Expectancy. The integrative model is empirically supported using survey data collected from patients of a large public international hospital. Total of 265 valid responses were used for the data analysis. This study highlights the importance of integrating resistance to change with the technology use research especially in healthcare settings that is considered to be under researched. Moreover, it is considered to be one of the first studies in IS that brings in patients’ perspectives of new HIT.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.412
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41570
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Dual Factor Model
dc.subject Health Information Technology
dc.subject HIT
dc.subject Technology Resistance
dc.subject Patients
dc.title Patients’ Resistance towards Health Information Technology A Perspective of the Dual Factor Model of IT Usage
dc.type Conference Paper
dc.type.dcmi Text
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