RESEARCH TRENDS AND STRUCTURE OF ARTIFICIAL INTELLIGENCE: A BIBLIOMETRIC ANALYSIS
DOI:
https://doi.org/10.5281/zenodo.23838345Keywords:
Artificial Intelligence, bibliometric analysis, machine learning, business and management, science mapping, intellectual structureAbstract
The aim of this study is to analyze the trends and structure of artificial intelligence. Artificial Intelligence (AI) has become one of the most actively researched business and management fields in the scholarly community over the past few years. Based on a sample of about 501 peer-reviewed articles found in the Dimensions database (2010-2025). The results have shown that AI-related publications have increased exponentially after 2020, with the concentration being in the works of such journals as the International Journal of Academic Research in Business and Social Sciences and the Journal of Business Research. India, China and the United States become the major contributors basing on the scientific output, and the United States and Finland have the highest average citation impactThe research shows that the study has major gaps in research such as insufficient focus on AI ethics, AI governance in developing economies and longitudinal organizational performance of AI adoption.
