DOI: 10.33917/mic-1.126.2026.5-11

The article examines the problems of configuring long-term demographic trends in the context of geopolitical shocks with a focus on increasing the operational array of human (bio-social) and resource-consumption (material and non-material) factors as elements of a socio-economic supersystem with a significant component of difficult-to-predict development. The paper analyses the problems of maintaining viability of the state as a supersystem. The authors substantiate a direction of the regulatory vector for the developed profiles of operational indicators depending on different population structures as a predictable phenomenon – a baseline from which to build on the factors stimulating demographic basis for the state’s viability. The main objective is to support transition of the human resource provision for the armed forces (in the context of the Special Military Operation) and production structures in various sectors of the economy from a cluster of difficult-to-predict development (instability) into a cluster with confirmed available opportunities for replenishing military personnel and key industries workers (primarily defence and critical infrastructure) as a computation solution in relation to the macro-space of operated indicators.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L. [et al.]. The economic foundation of victory: a strategic forecast of the stability of the Russian economy in the face of sanctions attacks. Economic strategies. 2023;25(3(189)):6-15.

2. Ageev A.I., Bochkarev O.I., Grabchak E.P., Loginov E.L. Network-centric system of increased survivability of Russian energy management in difficult-to-predict critical conditions. Economic strategies. 2021;23(3(177)):6-17.

3. Ageev A.I., Loginov E.L. The world community in conditions of supercritical bifurcation / Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference, Moscow, April 21-22, 2022. Moscow: Institute of Economic Strategies, 2022. pp. 9-12.

4. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the Russian Military-industrial complex. 2023;4:66-74.

5. Ageev A.I., Grabchak E.P., Loginov E.L. Russia in a supercritical situation: managing the restoration of life support functions to overcome the consequences of a natural disaster. Economic strategies. 2021;23(5(179)):28-35.

6. Ageev A.I., Loginov E.L. Strategic predestination of special military operations in the global supersystem. Economic strategies. 2023;25(4(190)):6-19.

7. Ageev A.I., Grabchak E.P., Loginov E.L. The use of artificial intelligence in the implementation of military command and control of civilian facilities as a single hybrid battlefield / Neurocomputers and their application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31-33.

DOI: 10.33917/mic-1.126.2026.12-26

The article examines models, factors, and conditions for Russia’s development of scientific and technical potential, and suggests a number of adjustments to the regulatory system governing scientific and technological advancement in education, research, and industry, which could serve as a basis for a set of actions aimed at enhancing strategic management and securing Russia’s technological independence.

References:

1. Afanasyev A.A. Technological sovereignty as a scientific category within the system of contemporary knowledge. Economics, Entrepreneurship and Law. 2022;12(9):2377-2394.

2. Lenchuk E.B. Scientific and technological development as a strategic national priority of Russia. The economic revival of Russia. 2022;1 (71):58-65.

3. Kalinenko N.L. Import Substitution and Technological Sovereignty. Education and Law. 2023;11:87-91.

4. Yurevich M.A. Technological sovereignty in Russia: Concept, measurement and possibility of achieving it. Questions of Theoretical Economics. 2023;4:7-21.

5. Shkodinsky S.V., Prodchenko I.A., Matyuhin V.N. Contours of modern Russia’s industrial policy to ensure the country’s technological independence. Bulletin of the Eurasian Scientific Journal. 2024;6(1):3-12.

6. Ostapuk S.F., Kupriianova L.P., Fetisova V.P. Organizational and legal solutions to ensure technological sovereignty. Moscow, INFRA-М, 2025. 326 p.

DOI: 10.33917/mic-1.126.2025.27-41

The article analyzes China’s model for achieving technological sovereignty, traces its historical evolution, describes its institutional system, outlines the key state governance tools used in this process, and provides concrete examples of outcomes achieved. Understanding China’s experience in achieving technological sovereignty through instruments and mechanisms of strategic state governance is of great relevance for implementing similar Russian plans and aligning the EAEU with China’s global Belt and Road Initiative. The scientific novelty of the study lies in identifying the institutional mechanism of the guided transition to a new technological paradigm using China as a case study, as well as in systematizing the tools of strategic state governance that enable the reproduction of technological sovereignty. The methodological basis of the study is an institutional evolutionary analysis within the framework of technological paradigm shift theory.

References:

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3. Glazyev S.Yu. The Last World War. The USA Starts and Loses. Knizhnny Mir, 2016. (Izborsky Club Collection).

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11. U.S.–China Economic and Security Review Commission (USCC). China’s Indigenous Innovation Policy. 2011. URL: https://www.uscc.gov/sites/default/files/5.4.11Wolff.pdf

12. Stanford Digital China Lab. (n.d.). Lexicon: Indigenous Innovation or Independent Innovation (自主创新, Zìzhǔ Chuàngxīn). URL: https://digichina.stanford.edu/work/lexicon-indigenous-innovation-or-independent-innovation-zizhu-chuangxin/

13. Li X., Liu Y. China’s innovation policies: Evolution, institutional structure, and trajectory. Research Policy. 2011;40(7):917-931. URL: https://www.sciencedirect.com/science/article/pii/S0048733311000709

DOI: 10.33917/mic-1.126.2026.42-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

1. Glazyev S.Yu. State and Prospects of the Sixth Technological Wave in the Russian Economy. Economics of Science. 2024;10(2):11-29. DOI 10.22394/2410-132X-2024-10-2-11-29

2. Schwab K. The Fourth Industrial Revolution. Moscow: Eksmo, 2021. 208 p.

3. Cascio J. Facing the Age of Chaos. Medium. 2020. URL: https://medium.com/@cascio/facing-the-age-of-chaos-b00687b1f51d

4. Gantz J., Reinsel D. The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. IDC Analyze the Future. 2012. pp. 1-16. URL: https://www.cs.princeton.edu/courses/archive/spring13/cos598C/idc-the-digital-universe-in-2020.pdf

5. Simon H.A. Designing Organizations for an Information-Rich World. Computers, Communications, and the Public Interest (ed. by M. Greenberger) Baltimore: The Johns Hopkins Press, 1971. pp. 37-72.

6. Abramov V.I., Arefyev D.V. Ecosystem Development of Enterprises: Opportunities, Risks, and Features of Assessing Their Digital Maturity. New in Economic Cybernetics. 2025;1:70-84. DOI 10.5281/zenodo.15165454

7. Teece D.J. Business models and dynamic capabilities. Long Range Planning. 2018;51:1. DOI: 10.1016/j.lrp.2017.06.007

8. Knight F.H. Risk, Uncertainty, and Profit. Moscow: DELO Publishing House, 2003. 360 p.

9. Ackoff R.L. Management Misinformation Systems. Management Science. 1967;14(4). URL: http://dx.doi.org/10.1287/mnsc.14.4.B147

10. Kahneman D. Thinking, Fast and Slow. Moscow: AST, 2011. 656 p.

11. McAfee A., Brynjolfsson E. The Second Machine Age. Work, Progress, and Prosperity in the Age of New Technologies. Moscow: AST, 2017. 384 p.

12. Senge P. The Fifth Discipline: The Art and Practice of the Learning Organization. Moscow: MIF. Business, 2018. 496 p.

13. Tett D. The Curse of Efficiency: The Mine Shaft Syndrome. How to Overcome Disunity in Life and Business. Moscow: Olimp-Business, 2017. 336 p.

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DOI: 10.33917/mic-1.126.2026.53-66

This article examines the effectiveness of investments in an innovative digital model for processing customer preference data for enterprises in the tourism industry in China and Russia, based on an innovative modification of the Cobb-Douglas production function. The hypotheses were empirically confirmed during the validation of the obtained data. The study’s results are presented in conclusions and recommendations for various groups of large, small, and medium-sized enterprises, for government policy on digitalization of the industry, and for international cooperation.

References:

1. Zavyalova E.B. The 4th industrial revolution and digital transformation: changes and challenges / E.B. Zavyalova, M.V. Safronchuk, A.E. Burzhinkaya. International Journal of Economic Policy in Emerging Economies. 2022;16(2/3/4):417.

2. Hong Yunmiao, Shi Jiuling. Data Elements and the Data Economy. Economic Theory and Economic Management. 2024;44(8):1-16.

3. Ghasemaghaei M., Calic G. Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-Driven Insights. Journal of Business Research. 2019;104:69-84.

4. Badmus O., Rajput S.A., Arogundade J.B., Williams M. AI-driven business analytics and decision making. World Journal of Advanced Research and Reviews. 2024;24(01):616-633. URL: https://wjarr.com/sites/default/files/WJARR-2024-3093.pdf

5. Luca G., Rosciano M. Google Trends Data and Transfer Function Models to Predict Tourism Demand in Italy. Journal of Tourism Futures. 2013. URL: (PDF) Google Trends data and transfer function models to predict tourism demand in Italy

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7. Pranevich A., Khatskevich G. Technological Progress and Neutrality by Hicks, Harrod, and Solow: Genesis, Construction, and Generalizations. Belarusian Economic Journal. 2020;3:87-105.

DOI: 10.33917/mic-1.126.2026.67-70

The present article substantiates the relevance of introducing a risk-oriented approach and industrial safety management systems in the context of increasing industrial and organizational risks. Particular attention is paid to forming a strategy for the development of an industrial safety system, assessing the level of its maturity and applying audit as an effective tool for professional risks management. It is shown that transition from a reactive model of occupational safety to proactive management system, based on risk prevention, contributes to reducing the level of injuries and developing a culture of industrial safety.

References:

1. Labor Code of the Republic of Kazakhstan. Astana: IS Adilet. URL: https://adilet.zan.kz/rus/docs/K1500000414

2. ISO 45001:2018. Occupational health and safety management systems – Requirements with guidance for use. URL: https://rkapital.by/data/uploads/doc/iso-45001-2018.pdf

3. International Labour Organization. Guidelines on occupational safety and health management systems (ILO-OSH 2001). Geneva: ILO, 2001. URL:

4. Kibanov A.Ya. Occupational safety and health management in the organization. Moscow: INFRA-M, 2021. 512 p.

5. Smirnov S.A. Professional Risk Management at the Enterprise. Occupational Safety and Social Insurance. 2022;4:15-20.

6. Reason J. Managing the Risks of Organizational Accidents. Aldershot: Ashgate, 2016.

7. Cooper M.D. Towards a Model of Safety Culture. Safety Science. 2000;36:111-136.

8. Zakharov P., Peresypkin S. Occupational Safety Culture. The Human Factor in the Perspective of International Practices. Publisher: Alpina PRO, 2019. 147 p.

9. Ignatovich I.A. Industrial Safety: Textbook / I.A. Ignatovich, E.V. Bakiko, E.E. Meleshchenko. Ministry of Education and Science of the Russian Federation, Omsk State Technical University – Omsk: Omsk State Technical University Publishing House, 2018.

10. Vision Zero: From Origins to the Present. Available at: https://journal.ecostandard.ru/ot/opinion/vision-zero-ot-istokov-k-sovremennosti/

11. Konyukhov I.Yu., Silenko A.N. Key Directions for Improving the Quality Management System at MEPhI in 2011. In: 2012 Scientific Session of MEPhI. Abstracts of Papers, 2012. P. 96.

DOI: 10.33917/mic-1.126.2026.71-88

The priorities mentioned in the new Maritime Doctrine of the Russian Federation of 2022 (NMD–2022) were considered. Some aspects of the impact of the new Maritime Doctrine (NMD–2022) on the sustainable development of the national economy of the Russian Federation and monitoring of regional environmental management in the Russian Federation are also considered, namely: the development of principles for the strategic development of coastal systems and coastal infrastructure; scientific justification for the management of coastal territorial systems and the infrastructure located on them; the development of cruise and yacht tourism, the preservation of marine cultural and historical heritage; providing subjects of marine activity with regime reference materials, factual and predictive information on the state of the environment and its pollution, including emergency information; increasing the level of environmental protection due to the transition of domestic marine vessels to environmentally friendly fuels; monitoring regional environmental management.

A set of organizational and economic measures aimed at: responsible attitude to ecology and the environment; implementation of the concept of transparency, law enforcement, anti-corruption and ethical decision-making; implementation of the concept of social responsibility within the framework of the implementation of the NMD–2022. The paper shows that the implementation of the provisions of the NMD–2022 will contribute to the sustainable socio-economic development of the country, ensuring its national security and strengthening its authority in the international arena.

References:

1. Alyabyeva M.V., Alyabyeva T.M. Selected aspects of the greening of the economy in the context of the implementation of the concept of sustainable development of the European Union. In the collection: Sustainable development of society: new scientific approaches and research. Moscow, 2025. pp. 85-90.

2. Baklanov P.Ya. Monitoring of regional environmental management. Geography and natural resources. 2021;42(3):5-12.

3. Gogoberidze G.G., Rumyantseva E.A., Malakhova Yu.A. Comprehensive assessment of the stability and development of coastal systems in the Arctic zone of the Russian Federation. In the collection: Arctic shores: the path to sustainability. 2018. pp. 181-184.

4. Godovanik E.V. The maritime doctrine of the Russian Federation: a legal view on the content and prospects of implementation. Bulletin of the Russian Law Academy. 2023;2:84-94.

5. Dargis E.A., Kuznetsova E.Yu., Latukhov S.V., Polyakov A.V. Geoecological management of marine complexes in the waters of the Northern Sea Route. Marine intelligent technologies. 2024;1-1 (63):223-233.

6. Derenok A.A. The Northern Sea Route in modern geopolitical conditions. In the collection: New Economy, Business and Society. Vladivostok, 2023. pp. 270-274.

7. Izmailov M.K. ESG-competition in Russia – innovations, trends, problems. Bulletin of the Moscow University of Finance and Law, MFUA. 2024;4:234-246.