1. OSCM Publications
  2. Volume 18, Issue 3, 2025
  3. Analyzing Consumer Online Shopping Behavior Trends in the Context of the COVID-19 Pandemic Using Bibliometric Analysis

Analyzing Consumer Online Shopping Behavior Trends in the Context of the COVID-19 Pandemic Using Bibliometric Analysis

Author(s):

  • Vo Thi Xuan Hanh (University of Economics and Law, Ho Chi Minh City, Vietnam HCMC University of Technology and Education, Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam)
  • Vo Minh Huan (HCMC University of Technology and Education, Ho Chi Minh City, Vietnam)
  • Hoanh-Su Le (University of Economics and Law, Ho Chi Minh City, Vietnam and Vietnam National University, Ho Chi Minh City, Vietnam)
Volume: 18 Issue: 3 Publication Year: 2025 Page: 426-440 Available Online: 4 August 2025 DOI: 10.31387/oscm0620483
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Abstract:
Online shopping is extremely popular and gradually replacing traditional shopping. Online markets are increasingly appearing and becoming very popular after the COVID-19 pandemic phenomenon worldwide. This article focuses on changes in customers' online shopping behavior amid the COVID-19 pandemic. We conduct systematic scientific analysis and visualization of 407 Scopus-indexed articles from 2019 to 2024. The five-year timeframe strikes a balance between capturing meaningful trends and practicality in data collection and analysis considering the context of the COVID pandemic. N-gram analysis identifies the terms to show the development trends of online shopping consumer behavior over the years. Based on prominent keywords, top authors, institutions, journals in the field, top author keywords, co-author networks, co-keywords, and top articles are also analyzed. The relations among top keywords, top authors and top journals are conducted by the Sankey diagram analysis. The research conducts document-term-matrix (DTM) analysis to identify seven key clusters, research hotspots, and emerging trends in the bibliometric network. This study can guide further research when artificial intelligence technology integrated into internet and mobile platforms is growing strongly. The obtained research results can serve policymakers, researchers, and practitioners to apply high technology to increase consumer experience in online shopping behavior.
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@article{vothixuanhanh-2025-1693,
  title={Analyzing Consumer Online Shopping Behavior Trends in the Context of the COVID-19 Pandemic Using Bibliometric Analysis},
  author={Vo Thi Xuan  Hanh and Vo Minh  Huan and Hoanh-Su  Le},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2025},
  volume={18},
  number={3},
  pages={426--440},
  doi={10.31387/oscm0620483}
}
Vo Thi Xuan  Hanh, Vo Minh  Huan, Hoanh-Su  Le (2025). Analyzing Consumer Online Shopping Behavior Trends in the Context of the COVID-19 Pandemic Using Bibliometric Analysis. Operations and Supply Chain Management: An International Journal, 18(3), 426-440. https://doi.org/10.31387/oscm0620483
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