Home / Current Issue / Paper 1709160
Amazon?s Consumer Behavior During the Pandemic: A Biased Sample Analysis
Subject area: Management and Commerce · Area of research: Consumer Behavior
Abstract
This study investigates consumer behavior on e-commerce platforms during the COVID-19 pandemic based on a sample of 100 biased responses, primarily from students. The research focuses on changes in shopping habits, satisfaction levels, platform preferences, and key challenges faced. The findings highlight a substantial shift towards online shopping, influenced by convenience and necessity during lockdowns. This paper aims to understand patterns and offer insights for e-commerce platforms to improve their services during crises.
How to cite this paper
Riya Singh "Amazon?s Consumer Behavior During the Pandemic: A Biased Sample Analysis" Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 455-458
Riya Singh "Amazon?s Consumer Behavior During the Pandemic: A Biased Sample Analysis" Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025
Riya Singh (2025). Amazon?s Consumer Behavior During the Pandemic: A Biased Sample Analysis. Iconic Research And Engineering Journals, 8(12).
Riya Singh "Amazon?s Consumer Behavior During the Pandemic: A Biased Sample Analysis" Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025.
@article{1709160,
author = {Riya Singh},
title = {Amazon?s Consumer Behavior During the Pandemic: A Biased Sample Analysis},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {12},
pages = {455-458},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709160.pdf},
abstract = {This study investigates consumer behavior on e-commerce platforms during the COVID-19 pandemic based on a sample of 100 biased responses, primarily from students. The research focuses on changes in shopping habits, satisfaction levels, platform preferences, and key challenges faced. The findings highlight a substantial shift towards online shopping, influenced by convenience and necessity during lockdowns. This paper aims to understand patterns and offer insights for e-commerce platforms to improve their services during crises.},
month = {June},
}