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Examining quality aspects in Indian online food delivery 15 services during COVID-19 pandemic: an NLP-based qualitative approach

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dc.contributor.author Ma, Lan.
dc.contributor.author Ray, Arghya.
dc.contributor.author Sharma, Varda.
dc.contributor.author Bala, Pradip Kumar.
dc.date.accessioned 2022-11-18T12:12:14Z
dc.date.available 2022-11-18T12:12:14Z
dc.date.issued 2022
dc.identifier.citation Ma, L., Ray, A., Sharma, V., & Bala, P. K. (2022). Examining quality aspects in Indian online food delivery 15 services during COVID-19 pandemic: an NLP-based qualitative approach. IMI Konnect. 11 (3), 15-30.
dc.identifier.issn 2321 – 9378
dc.identifier.uri http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1449
dc.description.abstract During the COVID-19 pandemic, as people were forced to stay indoors due to lockdowns and government restrictions, accessing restaurants was mostly possible through online food delivery services (OFDs). With the increase in demand, it was also observed that the OFDs were charging higher prices. To examine quality aspects of Indian OFDs during the COVID-19 pandemic, we have used a multimethod approach utilizing qualitative data from 19 customers about two OFDs in India (C1 and C2) and online customer reviews from C1 (2,00,011) and C2 (86,931). Results show that during the pandemic although consumers were happy about the ease of use of the platforms, customers have expressed concerns related to delayed services, the behaviour of staff and limited options to choose from. We have also linked to different dimensions of SERVQUAL to understand the factors that people have mostly discussed about OFDs in the COVID-19 pandemic. The study concludes with various implications. en_US
dc.language.iso en en_US
dc.publisher IMI Konnect en_US
dc.subject COVID-19 Pandemic en_US
dc.subject Delivery Time en_US
dc.subject Online Food Delivery Services en_US
dc.subject Service Quality en_US
dc.subject Staff Behaviour en_US
dc.subject IIM Ranchi en_US
dc.title Examining quality aspects in Indian online food delivery 15 services during COVID-19 pandemic: an NLP-based qualitative approach en_US
dc.type Article en_US
dc.volume 11 en_US
dc.issue 3 en_US


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