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December 9, 2025Innovative Marketing2 citationsOpen Access

Mapping research trends in online shopping behavior during the fourth industrial revolution: A bibliometric analysis

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HXHanh Vo Thi XuanMVMinh Huân VõHLHoanh-Su Le

Key Points

  • This research aims to explore and quantify trends in online shopping behavior during the Fourth Industrial Revolution.
  • Conducted bibliometric analysis on 485 Scopus-indexed articles.
  • Utilized Python packages for keyword co-occurrence and thematic evolution analysis.
  • Applied Kleinberg’s burst detection and N-gram with Document-Term Matrix analyses.
  • Identified five dominant clusters in online shopping research.
  • Publication output increased by 37.7% in 2022, with an average of 19.8 citations per document.
  • Significant growth in Consumer Behavior and artificial intelligence integration noted.

Abstract

Type of the article: Research ArticleAbstract Online shopping behavior has been profoundly reshaped by the technological acceleration of the Fourth Industrial Revolution (IR 4.0), making it essential to understand how artificial intelligence and digital integration influence consumer decision-making. The study aims to map and quantify emerging trends in online consumer behavior research from 2019 to 2025. A bibliometric analysis was conducted on 485 Scopus-indexed articles using Python packages, incorporating keyword co-occurrence, thematic evolution, Kleinberg’s burst detection, and N-gram with Document-Term Matrix (DTM) analyses. The results reveal five dominant clusters: Consumer Behavior amp; Smart Retail, Intelligent Commerce, Data-Driven Behavior, Smart Experience, and Neuro-Behavioral Analytics that collectively define the field’s intellectual structure. Publication output grew dynamically, rising 19.6% in 2020, 10.9% in 2021, and peaking at 37.7% in 2022, before regaining momentum with a 29.6% increase in 2024, with an average of 19.8 citations per document. The mean burst strength (94.6%) indicates accelerated keyword activity, with the strongest surges in Technology amp; Data (+350%) and Shopping amp; Retail (+83%), followed by moderate bursts in Trust amp; Risk and Marketing amp; Communication (+67%). Thematic evolution shows 87% growth in Intelligent Commerce amp; Neuro-Behavioral Analytics in 2024, highlighting the growing integration of technology and consumer psychology. Keyword analysis shows a consistent rise from 2019 and peaking in 2024 with an 86.7% growth in Consumer Psychology, signaling a shift from pandemic-focused research to AI-driven and consumer-centered studies. The findings highlight the transformative impact of IR 4.0 technologies on digital consumer behavior and online commerce research.AcknowledgmentsThe deepest appreciation is expressed to University of Economics and Law, Viet Nam National University Ho Chi Minh City and Ho Chi Minh City University of Technology and Education, Hochiminh City, Vietnam.

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Cite This Study

Xuan et al. (2025) studied this question.

synapsesocial.com/papers/69401d5b2d562116f28f8c35https://doi.org/10.21511/im.21(4).2025.16
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