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

被引:100
作者
Bawack, Ransome Epie [1 ]
Wamba, Samuel Fosso [2 ]
Carillo, Kevin Daniel Andre [2 ]
Akter, Shahriar [3 ]
机构
[1] Univ Lorraine, CEREFIGE, ICN Business Sch, 86 Rue Sergent Blandan, F-54003 Nancy, France
[2] TBS Business Sch, 6 Pl Alfonse Jourdain, F-31000 Toulouse, France
[3] Univ Wollongong, Sch Management & Mkt, Wollongong, NSW 2522, Australia
基金
英国科研创新办公室;
关键词
Artificial intelligence; e-commerce; Literature review; Bibliometrics; SOCIAL RECOMMENDER MECHANISM; NEURAL-NETWORK APPROACH; KNOWLEDGE-BASED SYSTEM; WORD-OF-MOUTH; ELECTRONIC COMMERCE; SENTIMENT ANALYSIS; BIG DATA; DECISION-SUPPORT; DATA SPARSITY; ACCURATE RECOMMENDATION;
D O I
10.1007/s12525-022-00537-z
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 used. Bibliometric data from 4335 documents were analysed, and 229 articles published in leading IS journals were reviewed. The bibliometric analysis revealed that research on AI in e-commerce focuses primarily on recommender systems. Sentiment analysis, trust, personalisation, and optimisation were identified as the core research themes. It also places China-based institutions as leaders in this researcher area. Also, most research papers on AI in e-commerce were published in computer science, AI, business, and management outlets. The literature review reveals the main research topics, styles and themes that have been of interest to IS scholars. Proposals for future research are made based on these findings. This paper presents the first study that attempts to synthesise research on AI in e-commerce. For researchers, it contributes ideas to the way forward in this research area. To practitioners, it provides an organised source of information on how AI can support their e-commerce endeavours.
引用
收藏
页码:297 / 338
页数:42
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