Consumer Awareness Level of Artificial Intelligence through E-Retailing: 2003-2023 Bibliometric Review

This study analyses the awareness level of artificial intelligence (AI) among consumers in e-retail, focusing on 1186 peer-reviewed articles published between 2003 and 2023, Sourced from leading academic databases such as Scopus. The results show the frequent keywords used by authors, were artificial intelligence, consumer awareness level, machine learning, deep learning and e-retail, China and united stated of America are the countries in this field. The research highlights the importance of AI technologies like machine learning, deep learning, and e-retail in improving shopping experiences, product recommendations, and sales assistance. The study identifies four main themes: chatbots, customers, and predictive analytics. However, there are still gaps in determining consumer awareness of AI in e-retail, which could lead to more responsible AI adoption and future research. The research aims to fill these gaps and contribute to the burgeoning field of AI in e-retail.

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Publication Details

Journal
International Journal of Accounting and Economics Studies
Published
2025-11-04
DOI
https://doi.org/10.14419/k26g1b10
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Consumer Awareness Level of Artificial Intelligence through E-Retailing: 2003-2023 Bibliometric Review

V. Selvam, S. Menaka
International Journal of Accounting and Economics Studies
AI in Service Interactions
article

Consumer Awareness Level of Artificial Intelligence through E-Retailing: 2003-2023 Bibliometric Review

V. Selvam, S. Menaka
article en

Abstract

This study analyses the awareness level of artificial intelligence (AI) among consumers in e-retail, focusing on 1186 peer-reviewed articles published between 2003 and 2023, Sourced from leading academic databases such as Scopus. The results show the frequent keywords used by authors, were artificial intelligence, consumer awareness level, machine learning, deep learning and e-retail, China and united stated of America are the countries in this field. The research highlights the importance of AI technologies like machine learning, deep learning, and e-retail in improving shopping experiences, product recommendations, and sales assistance. The study identifies four main themes: chatbots, customers, and predictive analytics. However, there are still gaps in determining consumer awareness of AI in e-retail, which could lead to more responsible AI adoption and future research. The research aims to fill these gaps and contribute to the burgeoning field of AI in e-retail.

International Journal of Accounting and Economics StudiesVol. 12(7)
Vellore Institute of Technology University (IN)
VIT University
Openalex Percentile: Top 83%
AI in Service Interactions
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