Information Systems for Real-Time Decisions: A Strategic Approach to Strengthening National Security and Economic Resilience
Abstract
The integration of circular economy indicators into decision-making processes with an impact on national security requires a rigorous conceptual foundation of three essential dimensions: real-time decision-making, circular supply chains, and economic and national security. These concepts are interdependent, articulated in a complex framework of sustainable and digital governance. In the current geopolitical context marked by instability, energy crises, and pressures on natural resources, the capacity of states to adopt rapid and efficient decisions becomes a critical element of economic resilience. This paper examines, through a quantitative analysis of data provided by EUROSTAT for the period 2010-2022, how two main indicators of the circular economy – the circular material use rate (CR) and the waste recycling rate (RW) – can underpin real-time decision-making processes, with implications for strengthening economic security. In this endeavor, information systems play a central role, facilitating the collection, processing, and analysis of data by applying clustering techniques (K-means) and identifying distinct patterns of circular performance among the Member States of the European Union. The results highlight the fact that the integration of circular indicators into decision-making flows, through advanced information systems, contributes significantly to increasing economic resilience and reducing systemic vulnerabilities. The development of autonomous circular chains, supported by digital decision-making technologies, underlines the importance of information systems as a strategic infrastructure for national security in a volatile global economic environment.
References
Dimitrov, L., & Petrov, N. (2022). Integrating circularity indicators into economic defense strategies. Sustainable Production and Consumption, 30, 145-153.
Dragomir, F. L. (2016). Models of Trust and Reputation in eCommerce. Acta Universitatis Danubius. Œconomica, 12(6), 235-242.
Dragomir, F. L. (2017). The modelling of decisional problems. Bulletin of “Carol I” National Defence University, 1, 72-75.
Dragomir, F. L., & Alexandrescu, G. (2018a). Tools for Hierarchical Security Modeling. The 14th International Scientific Conference “Strategies XXI”, 4, 34-38.
Dragomir, F. L., & Alexandrescu, G. (2018b). Applications of artificial intelligence in decision support systems for critical infrastructures. Bulletin of “Carol I” National Defence University, 4(2), 56-61.
Dragomir, F. L., & Dumitriu, C. (2021a). Recommendation Systems - Modeling Abusive Clauses in Online Contracts. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 1-4. IEEE.
European Commission. (2020). A new Circular Economy Action Plan for a cleaner and more competitive Europe. Brussels: European Union.
Fernández-Viñé, M. B., Llorente-González, L. J., & Martínez-Rodríguez, I. (2023). Digitalization and circularity for national security: A European perspective. Journal of Cleaner Production, 408.
Ghisellini, P., Cialani, C., & Ulgiati, S. (2016). A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner Production, 114, 11-32.
Korhonen, J., Honkasalo, A., & Seppälä, J. (2018). Circular economy: The concept and its limitations. Ecological Economics, 143, 37-46
Li, X., Zhang, H., & Wang, Y. (2023). Real-time decision networks and resource resilience in circular economies. Technological Forecasting and Social Change, 188.
Rodriguez, C., & Paunescu, M. (2023). Integrating ecological sustainability into national security policy: Circular economy as strategic resilience. Environmental Policy and Governance, 33(1), 56-70.
Tache, F. L. (2009). Advice in electronic commerce. 3rd International Workshop on Soft Computing Applications, 111-114. IEEE.
Tache, F. L. (2010). Trust model for consumer protection (TMCP). 4th International Workshop on Soft Computing Applications, 107-112. IEEE.
Tache, F. L., & Postolache, F. (2010). Consulting in electronic commerce. Acta Universitatis Danubius. Œconomica, 6(3), 162-169.
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