Author
Listed:
- Popescu Anca
(Transilvania University of Brașov, Brașov/România)
- Tulbure Adriana
(Transilvania University of Brașov, Brașov/România)
- Neacşu Nicoleta Andreea
(Transilvania University of Brașov, Brașov/România)
Abstract
Digital transformation brings significant organizational changes while artificial intelligence (AI) is a key contributor to this aspect. This article aims at explaining how AI helps businesses to grow and change in the digital world. The authors used as main research method a bibliometric analysis based on data collected from the Web of Science covering 2021-2025 period to identify dominant trends and themes in the literature. The analysis was carried out by selecting 472 relevant articles, filtered according to the keywords “digital transformation”, “artificial intelligence”, and “business”. By using the VOSviewer software, thematic networks were mapped and essential connections between the studied topics were established. The results showed a growing academic interest in this field during the analyzed period, as well as an increasingly convergence between technology and business strategies. The study showed that AI impacts businesses in numerous ways as it helps automate tasks, improve operations, support decision-making, and drive innovation in business models. However, this research has limitations. As it relied on the databases used and mainly focused on quantitative metrics. In terms of results, the paper provided new insights into how AI and digital transformation interact. It helped to better understand the topic and suggested new directions of further research. Not only the study highlighted the transformative role of AI in digital business evolution but can also offer valuable guidance for academics and practitioners looking to leverage these technologies for competitive advantage.
Suggested Citation
Popescu Anca & Tulbure Adriana & Neacşu Nicoleta Andreea, 2025.
"Exploring the Impact of Artificial Intelligence on Digital Transformation of Businesses: A Bibliometric Analysis,"
Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 4002-4014.
Handle:
RePEc:vrs:poicbe:v:19:y:2025:i:1:p:4002-4014:n:1033
DOI: 10.2478/picbe-2025-0306
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