Intelligent Information Systems for the Circular Economy: A National Security-Oriented Approach and Adaptive Decision Making
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| Pages: | 44 : 51 |
| Abstract: | The ability of states to implement sustainable and adaptive policies becomes essential for maintaining internal balance and protecting critical infrastructures. The circular economy, in this equation, is emerging not only as an alternative ecological model but as a genuine strategic instrument for strengthening economic and national security. This article aims to investigate how emerging digital technologies, such as artificial intelligence (AI), can support real-time decision-making within circular economic systems, thus contributing to optimizing resource allocation, anticipating imbalances, and attracting private investment in circular infrastructure. The method used for modeling is that of decision trees, chosen for its ability to highlight conditional relationships and critical thresholds in investment decision-making. The existence of significant correlations between the degree of circularity and the level of investment is highlighted, supporting the hypothesis that data-driven decision-making intelligence can become a catalyst for economic resilience. The paper formulates a series of recommendations for public policies aimed at integrating digitalization and the circular economy into national security strategies. |
| JEL classification: | C35, C38, E27, G28, H25 |
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C35; C38; E27; G28; H25
