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Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach

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  • Meena, Purushottam
  • Kumar, Gopal

Abstract

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.

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  • Meena, Purushottam & Kumar, Gopal, 2022. "Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:joreco:v:68:y:2022:i:c:s096969892200145x
    DOI: 10.1016/j.jretconser.2022.103052
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    7. Sigitas Urbonavicius & Karina Adomaviciute – Sakalauske, 2023. "Learning from Pandemic Periods: Elements of the Theory of Behavioral Transformation," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 35(2), pages 251-266.
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