Artificial Intelligence in Corporate Finance - Transforming Financial Strategies for Startups: A Systematic Review
公司财务
业务
财务
作者
Roopa T Raj,N R Suryanarayana
出处
期刊:Asian journal of economics, business and accounting [Sciencedomain International] 日期:2025-01-17卷期号:25 (1): 265-275
标识
DOI:10.9734/ajeba/2025/v25i11648
摘要
Artificial Intelligence (AI) is revolutionizing corporate finance by enabling startups to overcome traditional financial challenges and achieve sustainable growth. This study systematically reviews AI's transformative potential, highlighting its applications in financial decision-making, process automation, fraud detection, and predictive analytics. Drawing from 50 peer-reviewed articles, the review highlights how AI technologies like machine learning, natural language processing, and predictive modelling enhance financial efficiency, mitigate risks, and enable strategic innovation for startups. While AI-driven financial strategies reduce costs, improve cash flow accuracy, and foster ESG compliance, barriers such as high implementation costs, skill gaps, and integration challenges persist. The findings also reveal significant research gaps, including the need for scalable AI tools tailored to startups and ethical frameworks to mitigate biases in financial models. By addressing these issues, this study provides actionable insights for leveraging AI to transform financial operations, empowering startups to thrive in a competitive digital economy.