Abstract:

This systematic literature review examines the intersection of technological advancements, risk management, and decision-making in corporate management. By analyzing 25 academic articles, the review provides insights into how international standards like ISO 31000 shape organizational risk practices and how advanced technologies such as artificial intelligence (AI) and data analytics transform enterprise risk management (ERM). Key findings highlight the importance of integrating AI to enhance decision-making, improve supply chain visibility, and foster innovation. The review also addresses the behavioral aspects of decision-making, focusing on the impact of cognitive biases and organizational culture in contexts like supply chain disruptions and inventory management. Studies emphasize the need for a systemic approach, combining project and product aspects to better manage risks, particularly in complex projects. The role of digital technologies in finance, such as analytics and robo-advisory, is explored, demonstrating their potential to optimize investment decisions and risk management. Practical recommendations include leveraging AI and data analytics to improve ERM, enhance supply chain transparency, and optimize HR tasks while considering ethical and legal issues. Future research should explore advanced analytical techniques, the influence of cultural factors on supply chain performance, and the integration of AI in HR management. By addressing these areas, organizations can make more informed decisions, enhance performance, and promote innovation. This review underscores the importance of understanding technological impacts, behavioral influences, and systemic approaches to advance both theoretical and practical aspects of corporate management