Proceedings of International Conference on Applied Innovation in IT  ·  2025/12/22  ·  Vol. 13  ·  Issue 5  ·  pp. 879–885
Digital Technologies in the Economic Security Management System of Industrial Organizations: Business Process Modeling
Iryna Stankevych, Hanna Sakun, Inna Yatskevych, Oksana Vasylenko, Eduard Siemens and Viktor Shevchenko
Economic Security, Digital Technologies, Industry 4.0, Business Process Modeling, Industrial Organizations, ERP-System, Big Data Analytics, Blockchain.
The development of the Industry 4.0 concept and the intensive digitalization of business processes of industrial organizations create qualitatively new conditions for managing their economic security. Traditional protection methods are becoming insufficiently effective in the face of rapidly changing threats associated with cyberattacks and data integrity risks. The purpose of the study is to develop theoretical and methodological principles and a practical model for integrating digital technologies into the economic security management system of industrial enterprises through the prism of business process modeling. The work uses a systems approach a process approach regression analysis and modeling methods. The authors propose a process-oriented model for ensuring economic security which involves the use of technologies such as ERP systems Big Data Analytics and blockchain to ensure transparency and continuity of critical business processes (for example supply chain management and production). The results of the study show that the implementation of integrated digital solutions not only increases efficiency and productivity (up to 15-20%) but also significantly strengthens the ability of the enterprise to withstand internal and external threats through real-time monitoring and risk prediction. The practical significance of the work lies in the possibility of using the proposed model by industrial organizations to develop digital transformation strategies taking into account aspects of economic security.
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