Abstract
During the coronavirus disease 2019 (COVID-19) pandemic, non-face-to-face e-commerce has become a significant consumer channel for customers to buy fresh food. However, little is known about customer opinion changes in fresh food e-commerce (FFEC) products and services during COVID-19. This study investigated the changes in expectations and preferences of FFEC customers on products and services before and during the pandemic from online reviews through a text mining approach. We divided the pandemic into two phases, acute and recovery, and found that eight attributes affect customers’ opinions. Some logistic service-related attributes gained customer attention during the acute phase, but product-related attributes gained more attention in the recovery phase. Customers showed a great level of forgiveness on many attributes during the acute phase, but customers’ dissatisfaction was expressed during the recovery phase. Finally, the results of the comparative importance–performance analysis provide improvement strategies for FFEC and help optimize their resource allocation of FFEC and enhance sustainable operation capacity in the case of a crisis. © 2024 by the authors.
| Original language | English |
|---|---|
| Article number | 2699 |
| Number of pages | 22 |
| Journal | Sustainability (Switzerland) |
| Volume | 16 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 25 Mar 2024 |
Funding
This study was supported by the Liaoning Revitalization Talents Program under Grant (No. XLYC2002059), Major Entrusted Project of Liaoning Provincial Social Science Planning Fund (No. L23ZD045), and Liaoning Provincial Federation of Social Sciences Research Project on Economic and Social Development (No. 2024lslybkt-026).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Keywords
- CIPA
- COVID-19
- customer satisfaction
- fresh food e-commerce
- online review
- sentiment analysis
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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