Artificial intelligence models in corporate financial and accounting processes: systematic literature review
Year: 2025
Type: review
Study design: Systematic Review
Abstract: The study aims to introduce artificial intelligence models applied in the financial and accounting fields and to describe the commonly used areas, models, and algorithms that have achieved the highest level of accuracy. The methodology focuses on a systematic literature review, utilizing the Scopus Elsevier database. All studies and models are examined by application area. The results suggest that supervised models are the most applied in the accounting and financial field, while the algorithms that have been most used are decision trees, support vector machines, random forests, neural networks, and logistic regressions, employed in specific areas of financial fraud, stock market predictions, and cash flow. Although unsupervised models were not reported to be used, they represent an important scenario for future studies, focused on the classification of tax fraud.
Source: Revista Venezolana de Gerencia
Institution: Corporación Universitaria Minuto de Dios
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409340820