Asia Pacific Journal of Information Systems (APJIS)

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Past Issue

Date	December 2022
Vol. No.	Vol. 32 No. 4
DOI	https://doi.org/10.14329/apjis.2022.32.4.890
Page	890~915
Title	Exploring Barriers Affecting e-Health Service Continuance Intention in India: From the Innovation Resistance Theory Stance
Author	Arghya Ray, Pradip Kumar Bala, Yogesh K. Dwivedi
Keyword	Barriers, Digital Healthcare, e-Health Services, Innovation Resistance Theory, Natural Language Processing, Structural Equation Modeling (SEM)
Abstract	Although existing studies on e-health have usually focused on e-health services adoption intention, there is a dearth of studies on the barriers that affect e-health services retention intention especially in India. Additionally, although studies have mostly focused on utilizing expectation-confirmation model to understand innovation related barriers, innovation resistance theory (IRT) has been overlooked. As Indian e-health service providers face stiff challenges due to customer’s unwillingness to continue using the service, there is a need to bridge the research gap that exists in this context. This mixed-method study, based on responses received from 289 participants and 1154 online negative reviews from e-Health providers in India, examines the barriers from the IRT stance. Results of this study reveal a notable negative association between tradition, value and financial barrier and intention to continue using e-health services. Additionally, continuance intention affects recommendation. The study concludes with various implications and scope for future research.

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