@article{article_1878550, title={Artificial intelligence applications in business management functions: a bibliometric analysis of the 2006–2025 period}, journal={MTÜ Sosyal ve Beşeri Bilimler Dergisi}, volume={6}, pages={49–65}, year={2026}, url={https://izlik.org/JA37DS36ZD}, author={Darıcan, Şule}, keywords={: Artificial Intelligence, Business Management, Bibliometric Analysis}, abstract={<p>ABSTRACT Artificial intelligence has increasingly become an integral component of modern business management, influencing how organizations plan, decide, and operate across core functions. As AI-based tools and data-driven approaches gain wider adoption in areas such as human resources, finance, accounting, and strategic management, the academic literature addressing this transformation has grown rapidly. This study examines the development of research on artificial intelligence applications in business management functions through a bibliometric perspective covering the period 2006–2025. Rather than focusing on individual empirical findings, the analysis provides an overall picture of how the field has evolved in terms of publication patterns, collaboration structures, and thematic orientation. The results highlight the multidisciplinary nature of the literature and show that AI-related business research has expanded beyond technical discussions toward broader managerial and organizational contexts. By outlining the general structure and direction of this body of knowledge, the study offers a useful reference point for researchers seeking to position future work within the evolving landscape of AI-driven business management research. </p>}, number={1}, organization={Çalışma herhangi bir kurum tarafından finansal destek almamıştır}