Artificial Intelligence in Business, Management, and Accounting: A Bibliometric Analysis of Trends, Applications, and Future Directions
摘要
A systematic bibliometric analysis assesses artificial intelligence (AI) implementations in business, management and accounting throughout their development from 1985 to 2025 including statements about growth and shifting trends and transformational effects. The authors mined Scopus database to track AI research growth patterns across these disciplines while investigating important publication data and author influence and institutional destinations as well as national participation. The research demonstrates major expansion of AI investigations beginning around 2010 based on developments in computational processing and data availability alongside sophisticated algorithm development. AI research shows worldwide scope according to recent findings whereas major research origins emerge from the U.S. alongside the U.K. and India. The research investigates decision support systems and financial forecasting together with organizational management. The research offers essential findings which benefit researchers as well as business professionals and policymakers to understand how AI can resolve current business and management and accounting challenges while steering upcoming academic exploration.