Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/688
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dc.contributor.authorRay, Arghya.-
dc.contributor.authorBala, Pradip Kumar.-
dc.contributor.authorRay, Ananya.-
dc.date.accessioned2020-09-08T12:29:44Z-
dc.date.available2020-09-08T12:29:44Z-
dc.date.issued2020-01-
dc.identifier.citationRay, A., Bala, P. K., & Ray, A. (2020). An NLP-Based approach to explore factors affecting intention to use various e-services. TEST Engineering & Management, 82(Jan/Feb), 12129 – 12136.en_US
dc.identifier.issn0193-4120-
dc.identifier.urihttp://www.testmagzine.biz/index.php/testmagzine/article/view/2791-
dc.identifier.urihttp://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/688-
dc.description.abstractThis investigation endeavors to clear a way for future analysts to investigate various methods so as to increase further experiences from 'data rich' printed information accessible through online client surveys. This investigation has attempted to investigate the various qualities from the utilization esteem hypothesis position which are regarded significant in various settings by examining client surveys from three diverse e-specialist organizations, to be specific, Zomato (online nourishment conveyance), MakeMyTrip (online travel office) and Coursera (internet learning stage). Aftereffects of this examination show that various qualities are significant in various settings: e-Learning (epistemic and utilitarian), OFD (contingent and epistemic), OTAs (usefuland passionate). This investigation finishes up with different ramifications and degree for future research.en_US
dc.language.isoenen_US
dc.publisherTEST Engineering & Managementen_US
dc.subjectOnline food deliveryen_US
dc.subjectOnline travel agenciesen_US
dc.subjectTopic modelingen_US
dc.subjectUser-generated contenten_US
dc.subjectIIM Ranchien_US
dc.titleAn NLP-based approach to explore factors affecting intention to use various e-servicesen_US
dc.typeArticleen_US
dc.volume82en_US
dc.issueJan/Feb.en_US
Appears in Collections:Journal Articles

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