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Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis

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Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation (TDIT 2020)

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Abstract

As the number of research outputs in the field of AI in Marketing increased greatly in the past 20 years, a systematic review of the literature and its developmental process is essential to provide a consolidated view of this area. This study conducted a bibliometric analysis for the knowledge domain of AI in Marketing by using 617 research outputs from the Web of Science database from 1992 to 2020. Knowledge maps of AI in marketing research were visualised by employing CiteSpace software.

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Authors and Affiliations

  1. Faculty of Management, Law and Social Sciences, University of Bradford, Bradford, UK

    Elvira Ismagiloiva & Nripendra Rana

  2. Emerging Markets Research Centre, School of Management, Swansea University, Swansea, UK

    Yogesh Dwivedi

Authors
  1. Elvira Ismagiloiva
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  2. Yogesh Dwivedi
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  3. Nripendra Rana
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Correspondence to Elvira Ismagiloiva .

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Editors and Affiliations

  1. Indian Institute of Management Tiruchira, Tiruchirappalli, India

    Sujeet K. Sharma

  2. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  3. Indian Institute of Management Nagpur, Nagpur, India

    Bhimaraya Metri

  4. University of Bradford, Bradford, UK

    Nripendra P. Rana

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Ismagiloiva, E., Dwivedi, Y., Rana, N. (2020). Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 617. Springer, Cham. https://doi.org/10.1007/978-3-030-64849-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-64849-7_5

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