Artificial Intelligence in Marketing: A Bibliometric Mapping of Central and Eastern European Research

Authors

Renáta Németh
Budapest University of Economics and Business image/svg+xml
https://orcid.org/0009-0008-1777-5626
Zsuzsánna Regina Reicher
Budapest University of Economics and Business, Faculty of Marketing and Business Communicatio
https://orcid.org/0000-0003-3929-6331
Melinda Majláth
Budapest University of Economics and Business, Faculty of Marketing and Business Communication
https://orcid.org/0000-0002-3175-875X

Synopsis

The increasing adoption of artificial intelligence (AI) in marketing poses significant managerial and governance challenges, particularly for small and medium-sized enterprises (SMEs) operating in dynamic, digitally transforming markets. Although the academic literature on AI in marketing has expanded rapidly since 2020, the thematic structure of this research in the Central and Eastern European (CEE) context remains underexplored. This study aims to map AI-related marketing research in CEE countries. Keyword co-occurrence analysis and network visualisation were conducted using VOSviewer to identify dominant research themes, thematic interconnections, and emerging directions. The findings reveal interconnected thematic clusters addressing AI applications in marketing. The results highlight patterns in how AI-driven marketing and consumer trust are conceptualised in the CEE region. By offering a structured overview of the literature, this study supports a deeper understanding of AI-enabled marketing from a management perspective and provides a foundation for future research on AI adoption among SMEs.

Author Biographies

Renáta Németh, Budapest University of Economics and Business

Budapest, Hungary. E-mail: nemeth.renata.07@unibge.hu

Zsuzsánna Regina Reicher, Budapest University of Economics and Business, Faculty of Marketing and Business Communicatio

Budapest, Hungary. E-mail: reicher.regina@uni-bge.hu

Melinda Majláth, Budapest University of Economics and Business, Faculty of Marketing and Business Communication

Budapest, Hungary. E-mail: majlath.melinda@uni-bge.hu

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Published

July 3, 2026

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Németh, R., Reicher, Z. R., & Majláth, M. (2026). Artificial Intelligence in Marketing: A Bibliometric Mapping of Central and Eastern European Research. In J. Belak & S. Oberman Peterka (Eds.), Sustainable Governance in the Age of Artificial Intelligence: Interdisciplinary Perspectives on ESG, Digital Transformation and Corporate Responsibility (pp. 877-890). University of Maribor Press. https://doi.org/10.18690/um.epf.7.2026.46