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电子商务中的人工智能:文献计量研究与文献综述

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

作者信息

Bawack Ransome Epie, Wamba Samuel Fosso, Carillo Kevin Daniel André, Akter Shahriar

机构信息

ICN Business School, CEREFIGE - Université de Lorraine, 86 rue du Sergent Blandan, 54003 Nancy, France.

TBS Business School, 6 Place Alfonse Jourdain, 31000 Toulouse, France.

出版信息

Electron Mark. 2022;32(1):297-338. doi: 10.1007/s12525-022-00537-z. Epub 2022 Mar 18.

DOI:10.1007/s12525-022-00537-z
PMID:35600916
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8932684/
Abstract

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.

摘要

本文综合了电子商务领域中人工智能(AI)的研究,并就信息系统(IS)研究如何能为这一研究领域做出贡献提出了指导方针。为此,采用了将文献计量分析与广泛的文献综述相结合的创新方法。分析了4335篇文献的文献计量数据,并对发表在领先的信息系统期刊上的229篇文章进行了综述。文献计量分析表明,电子商务中人工智能的研究主要集中在推荐系统上。情感分析、信任、个性化和优化被确定为核心研究主题。研究还表明中国的机构在这一研究领域处于领先地位。此外,大多数关于电子商务中人工智能的研究论文发表在计算机科学、人工智能、商业和管理领域的期刊上。文献综述揭示了信息系统学者感兴趣的主要研究主题、风格和趋势。基于这些发现,提出了未来研究的建议。本文首次尝试综合电子商务中人工智能的研究。对于研究人员来说,它为该研究领域的前进方向提供了思路。对于从业者来说,它提供了关于人工智能如何支持其电子商务活动的有组织的信息来源。

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本文引用的文献

1
The impact of artificial intelligence on event experiences: a scenario technique approach.人工智能对活动体验的影响:一种情景技术方法。
Electron Mark. 2021;31(3):601-617. doi: 10.1007/s12525-020-00433-4. Epub 2020 Sep 7.
2
Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study.人工智能在健康与医学领域的全球研究进展:一项文献计量学研究。
J Clin Med. 2019 Mar 14;8(3):360. doi: 10.3390/jcm8030360.
3
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations.利用电阻式交叉点器件加速深度神经网络训练:设计考量
Front Neurosci. 2016 Jul 21;10:333. doi: 10.3389/fnins.2016.00333. eCollection 2016.
4
Deep learning.深度学习。
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
5
Deep learning in neural networks: an overview.神经网络中的深度学习:综述。
Neural Netw. 2015 Jan;61:85-117. doi: 10.1016/j.neunet.2014.09.003. Epub 2014 Oct 13.