The State of Artificial Intelligence in Marketing With Directions for Future Research

Jing Chen, J. Ablanedo-Rosas, G. Frankwick, Fernando R. Jiménez Arévalo
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Abstract

Today, artificial intelligence (AI) is becoming increasingly important in both industry and academics. To investigate AI in marketing, we have used bibliometric study, social network analysis (SNA), main path analysis, and content analysis to examine the top 10 authors, top 20 most cited articles, and top 11 milestone papers from our 628 articles sample. Bibliometric study identified leading authors, documents, universities, countries, and sources of these articles. By using SNA, we spotted an academic social network of crucial publications. Moreover, we recognized eleven milestone articles that constitute the main knowledge flow in AI marketing through main path analysis. Finally, we discussed future directions based on our findings. Our study is one among a few studies that have used bibliometric analysis methods to analyze and visualize the citation network of the AI-marketing interface.
人工智能在市场营销中的现状及未来研究方向
今天,人工智能(AI)在工业界和学术界都变得越来越重要。为了研究人工智能在营销中的应用,我们使用了文献计量学研究、社会网络分析(SNA)、主要路径分析和内容分析,从我们的628篇文章样本中检查了前10位作者、前20位被引用最多的文章和前11位里程碑论文。文献计量学研究确定了这些文章的主要作者、文献、大学、国家和来源。通过使用SNA,我们发现了一个重要出版物的学术社交网络。此外,通过主要路径分析,我们发现了11篇里程碑式的文章,这些文章构成了人工智能营销的主要知识流。最后,我们根据研究结果讨论了未来的发展方向。我们的研究是少数使用文献计量分析方法来分析和可视化人工智能营销界面的引文网络的研究之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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