https://irek.ase.md:443/xmlui/handle/123456789/40 2026-05-26T23:07:11Z https://irek.ase.md:443/xmlui/handle/123456789/4981 Analysis Pareto–Nash–Stackelberg Solutions in Sugar Market Pricing Lozan, Victoria Within the oligopolistic market, the decisions made by each company regarding price, production or marketing strategy directly influence the reactions and performances of competitors. In such an environment, characterized by a small number of participants and pronounced interdependence, producers frequently face complex decision-making problems, the solution of which directly determines the level of profit obtained. One of the most important strategic decisions is pricing, especially for companies that offer similar products, such as sugar, where competition is intense and differentiation is low. The paper analyzes the strategic behavior of local sugar producers, considered as two main players, using the Bertrand model with limited capacity (Edgeworth, 1889) and discretized Bertrand model. These models provide a relevant framework for situations where companies compete on price but simultaneously face constraints related to production capacity, which complicates market equilibrium and a framework for equal production capacities that individually cover demand. In the proposed analysis, two possible pricing strategies are considered for each producer, and the results are evaluated in terms of profit obtained for each combination of decisions. In addition to the Nash and Stackelberg solutions in pure strategies, the solutions in mixed strategies are also determined by applying established algorithms that allow the identification of the set of Nash equilibria in mixed strategies (Ungureanu, 2017), the set of Stackelberg equilibria in mixed strategies (Lozan and Ungureanu, 2010), as well as the set of Pareto-Nash solutions in mixed strategies (Lozan and Ungureanu, 2012a) and the set of Pareto-Stackelberg equilibria in mixed strategies (Lozan and Ungureanu, 2012b). This approach provides a more detailed picture of how strategic interaction between sugar producers can lead to efficient outcomes for the entire market. JEL: C02, C61, C62, C65, C72, C79 LOZAN, Victoria. Analysis Pareto–Nash–Stackelberg Solutions in Sugar Market Pricing. Online. In: Proceedings of the 29th International Scientific Conference Competitiveness and Innovation in the Knowledge Economy, Chișinău, Moldova, September 26-27, 2025. București: Editura ASE, 2026, pp. 560-566. ISSN 3100-5527. Disponibil: https://doi.org/10.24818/cike2025.69 2026-01-01T00:00:00Z https://irek.ase.md:443/xmlui/handle/123456789/4980 Digital Innovation and Cyber Risks: A Real Challenge for Businesses in the Republic of Moldova Turcan, Aurelia Digital transformation has become a determining factor in competitiveness and sustainable business development at the global level. In the Republic of Moldova, digital innovation manifests itself in the form of the introduction of modern technologies such as cloud solutions, artificial intelligence, e-commerce, and fintech services, which open up significant opportunities for economic growth and expansion into international markets. However, alongside these advantages, the business environment is exposed to an increasingly complex range of cyber risks, from ransomware and phishing attacks to financial fraud and massive data leaks. The purpose of this study is to analyze the impact of digital innovation on the business environment in the Republic of Moldova and the cyber risks associated with the digital transformation process. The research topic concerns how companies integrate modern technologies (cloud computing, e-commerce, fintech, artificial intelligence) and their degree of exposure to cyber threats. The methodology used consists of an analysis of specialized literature, the national and European regulatory framework, as well as reports on cybersecurity in the business environment. The results of the study show that enterprises in the Republic of Moldova face serious challenges in ensuring digital security (lack of specialists, inadequate infrastructure, low awareness, incomplete regulations), which leads to vulnerability to cyber-attacks that result in financial losses and damage to reputation. The findings highlight the need to strengthen the culture of cybersecurity, invest in innovative protection solutions, and promote cooperation between the public and private sectors to reduce vulnerabilities. JEL: O32, O33, M15, K24 TURCAN, Aurelia. Digital Innovation and Cyber Risks: A Real Challenge for Businesses in the Republic of Moldova. Online. In: Proceedings of the 29th International Scientific Conference Competitiveness and Innovation in the Knowledge Economy, Chișinău, Moldova, September 26-27, 2025. București: Editura ASE, 2026, pp. 552-559. ISSN 3100-5527. Disponibil: https://doi.org/10.24818/cike2025.68 2026-01-01T00:00:00Z https://irek.ase.md:443/xmlui/handle/123456789/4979 Stochastic Modeling of Cyber Threat Risks in Smart Grids as a Tool of Economic Cybernetics Coniuc, Svetlana; Alexei, Rusanov The development of smart grids represents a fundamental direction in the digitalization of infrastructure within the knowledge economy. Smart grids enable efficient distribution of energy resources, integration of renewable sources, and real-time interaction between consumers and suppliers. However, the openness of their information and communication architecture significantly increases vulnerability to cyber threats. Attacks on power networks may cause not only technological disruptions but also large-scale economic losses, directly affecting the competitiveness of both states and enterprises. This paper emphasizes Smart Grid security as a critical factor of economic resilience. Economic cybernetics provides a methodological basis for assessing risks, while stochastic modeling offers quantitative tools for evaluating cyber threat probabilities and optimizing defense strategies. Methods such as Markov chains, Poisson processes, and stochastic Petri nets are applied to describe system state transitions, attack intensities, and interdependencies of infrastructure components. The main results of the study demonstrate that stochastic models allow the formalization of cyber threats in probabilistic terms, prediction of incident dynamics, calculation of resilience indicators, and justification of optimal investment levels in cyber defense. Furthermore, the integration of such results into economic management models enhances decision-making efficiency in balancing innovation, costs, and infrastructure stability. In conclusion, stochastic risk modeling contributes not only to the reliability and resilience of Smart Grids but also to the broader field of economic cybernetics, where mathematical methods support effective governance of socio-economic systems under conditions of cyber vulnerability. JEL: C02, C61, O33, Q43 CONIUC, Svetlana and Alexey RUSANOV. Stochastic Modeling of Cyber Threat Risks in Smart Grids as a Tool of Economic Cybernetics. Online. In: Proceedings of the 29th International Scientific Conference Competitiveness and Innovation in the Knowledge Economy, Chișinău, Moldova, September 26-27, 2025. București: Editura ASE, 2026, pp. 547-551. ISSN 3100-5527. Disponibil: https://doi.org/10.24818/cike2025.67 2026-01-01T00:00:00Z https://irek.ase.md:443/xmlui/handle/123456789/4978 The Resilient Home: an IOT-Based Framework for Active Mitigation of Domestic Threats Catruc, Adriana The modern home is increasingly vulnerable to a variety of domestic threats, including environmental hazards (e.g., fires, floods), security breaches (e.g., intrusions), and health risks (e.g., air quality issues). This paper proposes "The Resilient Home," an IoT-based framework designed for active threat mitigation. By integrating sensors, actuators, and machine learning algorithms, the framework enables real-time detection, analysis, and automated response to threats, enhancing household safety and resilience. We outline the system architecture, discuss implementation challenges, and present evaluation results from simulated and real-world deployments. Our approach demonstrates a 30-50% reduction in response times compared to traditional passive systems, paving the way for smarter, more proactive home environments. JEL Classification: O33, G22, D81, R31 CATRUC, Adriana. The Resilient Home: an IOT-Based Framework for Active Mitigation of Domestic Threats. Online. In: Proceedings of the 29th International Scientific Conference Competitiveness and Innovation in the Knowledge Economy, Chișinău, Moldova, September 26-27, 2025. București: Editura ASE, 2026, pp. 536-546. ISSN 3100-5527. Disponibil: https://doi.org/10.24818/cike2025.66 2026-01-01T00:00:00Z