人工智能在创新数字营销策略中的整合评估

Q2 Economics, Econometrics and Finance Journal of Asian Finance, Economics and Business Pub Date : 2023-09-30 DOI:10.17261/pressacademia.2023.1820
Ibrahim Halil Efendioglu
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引用次数: 0

摘要

目的-本研究旨在对“数字营销”和“人工智能”这两个术语一起使用的出版物进行文献计量分析。为了实现这一目标,对Web of Science (WoS)数据库中的主要出版物、作者、国家和机构进行了研究。此外,本文还研究了数字营销和人工智能的结合使用。此外,它旨在为企业可以采用的营销人工智能策略提供见解。研究方法:本研究采用文献计量分析技术。使用R Studio中的Bibliometrix包及其基于web的组件Biblioshiny进行分析。在Web of Science数据库中,在标题、摘要和关键词部分使用关键词“数字营销”和“人工智能”进行搜索。研究结果:通过分析,确定了140名研究人员在2017年至2023年期间在46个期刊上发表的60篇论文。通过对收录的出版物进行检查,可以发现“人工智能”、“创造力”、“分析”、“影响”、“专业知识”、“社交网络”、“大数据”、“治理”、“成功”和“人工智能”等术语的频繁使用。仔细观察作者的国家,印度是最大的贡献者,其次是西班牙和美国。此外,芬兰(370篇)、西班牙(92篇)和法国(58篇)的引用次数最高。结论-本研究旨在通过研究数字营销和人工智能的过去和现在,为有兴趣从事数字营销和人工智能工作的研究人员做出贡献。为此,我们从文献中系统地回顾和分析了60项相关研究。此外,研究出版物的概念、知识和社会结构也被阐明。关键词:数字营销,人工智能,人工智能系统,文献计量分析,文献计量矩阵JEL代码:M15, M30, M31
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The evaluation of AI integration in innovative digital marketing strategies
Purpose- This study aims to provide a bibliometric review of publications where the terms 'digital marketing' and 'artificial intelligence' are used together. Leading publications, authors, countries, and institutions in the Web of Science (WoS) database have been examined to achieve this goal. Additionally, this article investigates the combined use of digital marketing and artificial intelligence. Furthermore, it aims to offer insights into artificial intelligence strategies for marketing that businesses can employ. Methodology- The research employs the technique of bibliometric analysis. The Bibliometrix package within R Studio and its web-based component, Biblioshiny, were utilized for analysis. Searches were conducted in the Web of Science database using the keywords 'Digital Marketing' and 'Artificial Intelligence' in the title, abstract, and keywords sections. Findings- As a result of the analysis, a total of 60 publications authored by 140 researchers and distributed across 46 journals between 2017 and 2023 were identified. Examination of the included publications reveals frequent usage of terms such as 'artificial intelligence,' 'creativity,' 'analytics,' 'impact,' 'expertise,' 'social networks,' 'big data,' 'governance,' 'success,' and 'AI.' Upon scrutinizing the authors' countries, India emerged as the leading contributor, followed by Spain and the USA. Moreover, Finland (370), Spain (92), and France (58) had the highest citation counts. Conclusion- This research aims to contribute to researchers interested in working in digital marketing and artificial intelligence by examining its past and present. For this purpose, 60 relevant studies from the literature were systematically reviewed and analyzed across various categories. Additionally, the examined publications' conceptual, intellectual, and social structures were illuminated. Keywords: Digital marketing, artificial intelligence, AI systems, bibliometric analysis, bibliometrix. JEL Codes: M15, M30, M31
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