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Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade

Abstract
Artificial intelligence (AI) techniques are commonly used in e-commerce but there is little bibliometric analysis in this field. Using a bibliometric approach it conducted a comprehensive study over the past decade to assess the research landscape progress and emerging trends in the field of artificial intelligence in e-commerce. Data was collected from related literature in the Scopus database from 2014 to the first half of 2023. VOSviewer and R studio were used to perform the bibliometric analysis of AI in e-commerce. The author status nations affiliations annual publications keywords and journals were all evaluated in this way. The oldest relevant article was published in 1994 and article reviews were the most common form of document among the 669 manuscripts. Furthermore the most popular research areas in this topic are business management and accounting. Additionally the most productive journal is Proceedings of the International Conference on Electronic Business (ICEB). Moreover the UK is the country that has published the most articles and in terms of co-authorship it has the strongest overall link. Finally the keyword co-occurrence network indicates that the most important keywords are machine learning e-commerce recommender systems fraud detection decision-making systems data mining and online retailing.
Authors
Samira Frioui and Amel Graa Samira Frioui: Djillali Liabes University Sidi Bel Abbes Algeria Amel Graa: Djillali Liabes University Sidi Bel Abbes Algeria
Keywords
artificial intelligence ; bibliometric analysis ; e-commerce ; emerging trends ; co-authorship patterns. (search for similar items in EconPapers)
Rank
0.29
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Machine Learning
Series
Management and Economics Review 2024 vol. 9 issue 1 5-24
Time Added
2024/03/18 03:32
Total Downloads
0
Year Published
2024
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