International Journal For Multidisciplinary Research

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Role of Artificial Intelligence in Online Shopping Behavior: A Bibliometric Analysis using VOSviewer and Biblioshiny

Author(s) Mr. Tarun Rohira, Prof. Dr. Mini Amit Arrawatia
Country India
Abstract Artificial Intelligence (AI) advancements have had significant implications for the evolution of the e-commerce industry due to its influence on consumer online purchasing behavior and decision-making. Technological innovations in the form of recommendation systems, chatbots, predictive analytics, virtual assistants, and personalized marketing have increased customer engagement and facilitated online shopping processes in digital markets. This study conducts a bibliometric analysis in order to explore the intellectual structure, trends, and evolution of research in the area of artificial intelligence and consumer online purchasing behavior. This investigation is based on bibliographic records obtained from the Scopus database in the time frame between 2002 and 2026. Bibliometric was performed using VOSviewer and Biblioshiny software in order to analyze such aspects as publication trends, collaboration, country and institution contributions, keywords, co-occurrence of the terms, citations, and thematic trends in this sphere. According to the findings, there has been an increasing number of scientific publications in the area of AI and online shopping behavior. Specifically, the number of papers grew significantly after 2015 and coincides with widespread AI technology implementation in e-commerce platforms. As the results revealed, among the major contributing countries in the area under consideration are the United States, China, and India. Furthermore, keyword analysis demonstrates that the most popular topics include consumer trust, personalization, recommendation systems, customer experience, machine learning, data-driven decision-making, and purchase intentions in online markets. Also, the results showed an increasing number of scientific papers published in the post-pandemic period. Therefore, the current study contributes to existing research through a comprehensive analysis of recent trends and the development of knowledge concerning the interplay between artificial intelligence and consumer online behavior and decision-making processes.
Keywords Bibliometric Analysis, Artificial Intelligence, Online Shopper, and Purchase Decision
Field Business Administration
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-15
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