Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1560
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dc.contributor.authorRay, Arghya.-
dc.contributor.authorBala, Pradip Kumar.-
dc.contributor.authorDwivedi, Yogesh K.-
dc.date.accessioned2023-02-03T15:10:25Z-
dc.date.available2023-02-03T15:10:25Z-
dc.date.issued2022-12-
dc.identifier.citationArghya Ray, Pradip Kumar Bala, &Yogesh K. Dwivedi (2022). Exploring barriers affecting e-health service continuance intention in India: from the innovation resistance theory stance. Asia Pacific Journal of Information Systems, 32(4), 890~915. https://doi.org/10.14329/apjis.2022.32.4.890en_US
dc.identifier.issn2288-6818 (Online)-
dc.identifier.issn2288-5404 (Print)-
dc.identifier.urihttps://doi.org/10.14329/apjis.2022.32.4.890-
dc.identifier.urihttp://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1560-
dc.description.abstractAlthough 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.en_US
dc.language.isoenen_US
dc.publisherAsia Pacific Journal of Information Systemsen_US
dc.subjectBarriersen_US
dc.subjectDigital Healthcareen_US
dc.subjecte-Health Servicesen_US
dc.subjectInnovation Resistance Theoryen_US
dc.subjectNatural Language Processingen_US
dc.subjectStructural Equation Modeling (SEM)en_US
dc.subjectIIM Ranchien_US
dc.titleExploring barriers affecting e-health service continuance intention in India: from the innovation resistance theory stanceen_US
dc.typeArticleen_US
dc.volume32en_US
dc.issue4en_US
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