The article presents a comprehensive study of the potential of digital solutions in enhancing the effectiveness of enterprise risk management systems under the conditions of economic digital transformation. The relevance of shifting from traditional approaches to integrated digital risk management models based on the application of intelligent technologies is substantiated. The paper analyzes contemporary academic interpretations of the concept of “digital risk management” and examines theoretical perspectives and applied models proposed by international consulting companies, research centers, and universities. It is demonstrated that most practical solutions are aimed at proactive risk identification, quantitative assessment, and adaptive enterprise response. Particular attention is given to technologies that enable the effective implementation of digital risk management: artificial intelligence (AI), machine learning (ML), big data analytics (Big Data), digital twins (Digital Twin), the Internet of Things (IoT), robotic process automation (RPA), ERP systems, blockchain solutions, and stream data processing platforms. An original structural and logical model of digital risk management is proposed, which includes four functional blocks: analytical, monitoring, reactive, and organizational-infrastructural. The content and interconnections of these blocks are detailed, and the importance of cybersecurity, data quality, technological integration, and a digital thinking culture is emphasized as key prerequisites for the effective operation of the model. The study presents statistical data on the global market for digital risk management solutions, confirming the effectiveness of their implementation in reducing operational costs, increasing business adaptability, accelerating decision-making, and strengthening overall organizational resilience. It is concluded that digital risk management is evolving into a strategic function of the enterprise aimed at ensuring sustainable development, economic security, digital accountability, and competitiveness in a highly volatile business environment.
Ruslan Stepanenko (Wed,) studied this question.
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