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Artificial intelligence in E-Commerce: a bibliometric study and literature review
Ransome Epie Bawack1, Samuel Fosso Wamba2, Kevin Daniel André Carillo2
1ICN Business School, CEREFIGE - Université de Lorraine, 86 rue du Sergent Blandan, 54003 Nancy, France.
Electronic Markets
|May 23, 2022
Summary
This study synthesizes artificial intelligence (AI) in e-commerce research, identifying recommender systems, sentiment analysis, and personalization as key themes. It offers guidelines for future information systems (IS) research in this dynamic field.
Area of Science:
- Information Systems
- Artificial Intelligence
- E-commerce
Background:
- Artificial Intelligence (AI) is increasingly integrated into e-commerce operations.
- Existing research on AI in e-commerce lacks a comprehensive synthesis.
- Information Systems (IS) research has a significant potential to contribute to this domain.
Purpose of the Study:
- To synthesize existing research on AI in e-commerce.
- To identify core research themes and trends.
- To propose guidelines for future IS research in AI and e-commerce.
Main Methods:
- A bibliometric analysis of 4335 documents.
- An extensive literature review of 229 articles from leading IS journals.
- Combined bibliometric and literature review approach.
Main Results:
- Recommender systems are the primary focus of AI in e-commerce research.
- Key research themes include sentiment analysis, trust, personalization, and optimization.
- China-based institutions lead in this research area, with publications concentrated in computer science, AI, business, and management outlets.
Conclusions:
- This paper provides the first synthesis of AI in e-commerce research.
- Offers valuable insights for researchers to advance the field.
- Presents practitioners with an organized overview of AI applications in e-commerce.
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