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

• Published in: Electronic markets Vol. 32; no. 1; pp. 297 - 338
• Main Authors: Bawack, Ransome Epie, Wamba, Samuel Fosso, Carillo, Kevin Daniel André, Akter, Shahriar
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022; Springer Nature B.V; Taylor & Francis
• Subjects: Artificial intelligence; Bibliometrics; Business and Management; Computer science; Data mining; e-Commerce/e-business; Electronic commerce; Humanities and Social Sciences; Information systems; Intelligence; IT in Business; Literature reviews; Optimization; Recommender systems; Research Paper; Scientific papers; Sentiment analysis; Trade; Literature review; e-commerce; O3; Bibliometrics; Artificial intelligence

This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems (IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis with an extensive literature review was use...