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Exploring barriers affecting e-health service continuance intention in India: from the innovation resistance theory stance

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dc.contributor.author Ray, Arghya.
dc.contributor.author Bala, Pradip Kumar.
dc.contributor.author Dwivedi, Yogesh K.
dc.date.accessioned 2023-02-03T15:10:25Z
dc.date.available 2023-02-03T15:10:25Z
dc.date.issued 2022-12
dc.identifier.citation Arghya 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.2022.32.4.890 en_US
dc.identifier.issn 2288-6818 (Online)
dc.identifier.issn 2288-5404 (Print)
dc.identifier.uri https://doi.org/10.14329/apjis.2022.32.4.890
dc.identifier.uri http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1560
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Asia Pacific Journal of Information Systems en_US
dc.subject Barriers en_US
dc.subject Digital Healthcare en_US
dc.subject e-Health Services en_US
dc.subject Innovation Resistance Theory en_US
dc.subject Natural Language Processing en_US
dc.subject Structural Equation Modeling (SEM) en_US
dc.subject IIM Ranchi en_US
dc.title Exploring barriers affecting e-health service continuance intention in India: from the innovation resistance theory stance en_US
dc.type Article en_US
dc.volume 32 en_US
dc.issue 4 en_US


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