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Artificial intelligence in E-Commerce: a bibliometric study and literature review.

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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.

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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.