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Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach
Online food delivery (OFD) businesses flourished during COVID-19; however, OFD companies experienced different challenges and customers' expectations. This paper uses social media data to explore OFD companies' performance and customers' expectations during the COVID-19 pandemic. The...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355939/ http://dx.doi.org/10.1016/j.jretconser.2022.103052 |
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author | Meena, Purushottam Kumar, Gopal |
author_facet | Meena, Purushottam Kumar, Gopal |
author_sort | Meena, Purushottam |
collection | PubMed |
description | Online food delivery (OFD) businesses flourished during COVID-19; however, OFD companies experienced different challenges and customers' expectations. This paper uses social media data to explore OFD companies' performance and customers' expectations during the COVID-19 pandemic. The most important topics in developed and developing countries are identified using machine learning. Results show that customers in India are more concerned about social responsibility, while financial aspects are more important in the US. Overall, customers in India are more satisfied with OFD companies during the COVID-19 pandemic than the US customers. We further find that factors such as OFD companies' brand, market size, country, and COVID-19 waves play a crucial role in moderating customer sentiment. The results of the study offer several managerial insights. |
format | Online Article Text |
id | pubmed-9355939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93559392022-08-07 Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach Meena, Purushottam Kumar, Gopal Journal of Retailing and Consumer Services Article Online food delivery (OFD) businesses flourished during COVID-19; however, OFD companies experienced different challenges and customers' expectations. This paper uses social media data to explore OFD companies' performance and customers' expectations during the COVID-19 pandemic. The most important topics in developed and developing countries are identified using machine learning. Results show that customers in India are more concerned about social responsibility, while financial aspects are more important in the US. Overall, customers in India are more satisfied with OFD companies during the COVID-19 pandemic than the US customers. We further find that factors such as OFD companies' brand, market size, country, and COVID-19 waves play a crucial role in moderating customer sentiment. The results of the study offer several managerial insights. Elsevier Ltd. 2022-09 2022-06-15 /pmc/articles/PMC9355939/ http://dx.doi.org/10.1016/j.jretconser.2022.103052 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Meena, Purushottam Kumar, Gopal Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach |
title | Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach |
title_full | Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach |
title_fullStr | Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach |
title_full_unstemmed | Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach |
title_short | Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach |
title_sort | online food delivery companies' performance and consumers expectations during covid-19: an investigation using machine learning approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355939/ http://dx.doi.org/10.1016/j.jretconser.2022.103052 |
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