Gestión de riesgos en negocios internacionales : una perspectiva avanzada utilizando business intelligence y machine learning.

Abstract

This study focuses on risk management in international business, a topic of increasing relevance in a globalized world. As companies expand their operations beyond national borders, they face challenges such as market volatility, cultural differences, and variations in political and economic environments. The primary objective of this research is to develop an automated classification system that optimizes the identification, assessment, and mitigation of risks in this context. To achieve this goal, a comprehensive literature review was conducted, establishing a solid theoretical framework on the intersection of technology and risk management. Additionally, a methodology based on machine learning techniques, specifically supervised classification, was implemented, demonstrating its effectiveness in improving decisionmaking and data management. The results indicate that integrating technological tools into risk management not only enhances the operational efficiency of companies but also enables them to better adapt to a complex global environment.