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 |