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Bibliometric Analysis of Publications in Artificial Intelligence and Marketing

Author

Listed:
  • Gül EKİNCİ
  • Fatma Gül BİLGİNER-ÖZSAATÇİ

Abstract

This study examines the research made in artificial intelligence and marketing with the bibliometric analysis method. In the Scopus database between 1984 and 2022, the studies with the phrase “artificial intelligence*, marketing*” were searched, and 447 studies were found in the marketing field. The total number of references of the studies published in 236 different sources is 24436, the total number of authors is 1092, and the collaboration index is 2.84. The USA has the most studies, citations, and cooperation. It has been determined that business intelligence and information management come to the fore.

Suggested Citation

  • Gül EKİNCİ & Fatma Gül BİLGİNER-ÖZSAATÇİ, 2023. "Bibliometric Analysis of Publications in Artificial Intelligence and Marketing," Sosyoekonomi Journal, Sosyoekonomi Society, issue 31(56).
    • Handle: RePEc:sos:sosjrn:230217
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    References listed on IDEAS

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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
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    Keywords

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    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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