Online food delivery companies' performance and consumers expectations during Covid-19 : an investigation using machine learning approach
Year of publication: |
2022
|
---|---|
Authors: | Meena, Purushottam Lal ; Kumar, Gopal |
Published in: |
Journal of retailing and consumer services. - Amsterdam [u.a.] : Elsevier, ISSN 0969-6989, ZDB-ID 1204385-0. - Vol. 68.2022, p. 1-14
|
Subject: | Consumer sentiment | COVID-19 | Online food delivery | Performance | Social responsibility | Topic modeling | Konsumentenverhalten | Consumer behaviour | Coronavirus | Online-Handel | Online retailing |
-
Why Bangkokians use online food delivery services after COVID-19 restrictions have been lifted
Weiler, Arissara Suratanon, (2024)
-
Unsustainable plastic consumption associated with online food delivery services in the new normal
Janairo, José Isagani B., (2021)
-
Enhance understandings of Online Food Delivery's service quality with online reviews
Ma, Bohao, (2024)
- More ...
-
Kumar, Gopal, (2016)
-
Katiyar, Rajesh, (2018)
-
How blockchain technology improves sustainable supply chain processes : a practical guide
Difrancesco, Rita Maria, (2023)
- More ...