Artificial Intelligence and Decision-Making in Business Management: A Bibliometric Review of the Last Decade
DOI:
https://doi.org/10.31637/epsir-2026-1630Keywords:
Artificial Intelligence, Decision-making, Process automation, Machine learning, Risk assessment, Business Management, BusinessAbstract
Introduction: Artificial intelligence (AI) is transforming business decision-making by improving efficiency and reducing human error, although its adoption faces challenges such as lack of knowledge and cybersecurity risks. Methodology: This study employs a bibliometric approach using the Scopus database to review recent research on the application of AI in the business field, identifying trends, authors, and leading institutions in the field. Results: The findings show that China, India, and the United States lead in scientific production, with China also standing out in patent registration. The most relevant areas are machine learning and big data, applied in financial management, risk assessment, and strategic decision optimisation. Discussion: The review highlights the need to strengthen international collaboration for technological development, as well as to address barriers such as the shortage of specialised knowledge and challenges in digital security. Conclusions: The study emphasises the importance of continuing to research and overcome obstacles in order to fully exploit the potential of artificial intelligence in businesses, consolidating it as a key tool for automation, financial prediction and strategic decision-making.
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Copyright (c) 2025 Oscar Mauricio Bedoya Sánchez, Sandra Milena Pérez García, Heidy Lorena Osorio Oviedo, Juan Felipe Guzmán Pacheco
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