Subject. This article focuses on the tools for managing the economic security of complex systems in the context of global competition for a favorable future. Objectives. The study aims to find new approaches to monitoring and managing economic development and security that work in the context of the AI revolution and the rapid development of complex business ecosystems. Methods. For the study, I used methods of systematization and comparative analysis. Results. The article investigates the concepts of safety and the problems of traditional static approaches to security. It also considers the possibilities and problems of using promising tools of multi-model complexes, nooscope and qualitative comparative analysis. Conclusions. To identify the necessary set of factors for achieving economic security in the context of continuous technological and social changes, it is necessary to use configuration and qualitative comparative analysis. The proposed conclusions can help in the study of the economic security of complex systems.
Keywords: continuous changes, dynamics of the economic security landscape, multimodel complexes, nooscope, application of qualitative comparative and configuration analyses
References:
Zizic M., Mladineo M., Gjeldum N. et al. From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology. Energies, 2022, vol. 15, iss. 14, pp. 1–20. DOI: 10.3390/en15145221 EDN: YFWIIU
Le Coze J.Ch. The ''new view'' of human error. Origins, ambiguities, successes and critiques. Safety Science, 2022, no. 154. DOI: 10.1016/j.ssci.2022.105853 EDN: JPRVEM
Schmittner C., Ma Zh., Schoitsch E. et al. A Case Study of FMVEA and Chassis as Safety and Security Co-Analysis Method for Automotive Cyber-Physical Systems. New York, 2015, p. 69. DOI: 10.1145/2732198.2732204
Priyadarshini, Greiner S., Massierer M. et al. Behavioral interaction identification between safety and security features in safety-critical systems. Computers & Security, 2026, no. 164. DOI: 10.1016/j.cose.2026.104846 EDN: HZFSUH
Titilayo A.O. The securitization theory. International Journal of Science and Research Archive, 2024, vol. 11, iss. 1, pp. 1747–1755. DOI: 10.30574/ijsra.2024.11.1.0225 EDN: AZBJQY
Dusa A. Elemente de Analiză Comparativă. București, Tritonic grup editorial Publ., 2014, 230 p. DOI: 10.13140/RG.2.1.3787.2488 ISBN: 978-606-749-004-6
Roig-Tierno N., Llopis J., Gonzalez-Cruz T.F. et al. An overview of qualitative comparative analysis: A bibliometric analysis. Journal of Innovation & Knowledge, 2017, vol. 2, iss. 1, pp. 15–23. DOI: 10.1016/j.jik.2016.12.002
Vaino A.E. [Capitalization of the future]. Voprosy ekonomiki i prava, 2012, no. 46, pp. 42–57. (In Russ.) EDN: PCSMCP
Pasquinelli M., Joler V. The Nooscope manifested: AI as instrument of knowledge extractivism. AI & Society, 2021, vol. 36, iss. 4, pp. 1263–1280. DOI: 10.1007/s00146-020-01097-6 EDN: AUUDDW
Marks A., Riu B., Rehigin Ch. [The origins, development, and application of Qualitative Comparative Analysis: The first 25 years]. Politicheskaya kontseptologiya, 2017, no. 1, pp. 57–85. (In Russ.) URL: Link
Ogurtsov A.P. [Systems analysis of science: The ideas of equifinality and human proportionality]. Epistemology & Philosophy of Science, 2013, vol. 37, iss. 3, pp. 190–204. (In Russ.) URL: Link
Xu X., Tahir S.H., Khan Kh.B. et al. Beyond regression: Unpacking research of human complex systems with qualitative comparative analysis. Heliyon, 2024, vol. 10, iss. 10. DOI: 10.1016/j.heliyon.2024.e31457 EDN: KXTHKK
Cronqvist L., Berg-Schlosser D. Multi-Value QCA (mvQCA). Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques. SageEditors, 2009, pp. 69–86. DOI: 10.4135/9781452226569.n4
Vis B. The comparative advantages of fsQCA and regression analysis for moderately large-n analyses. Sociological Methods and Research, 2012, vol. 41, iss. 1, pp. 168–198. DOI: 10.1177/0049124112442142
Misangyi V.F., Furnari S., Greckhamer Th. et al. Embracing Causal Complexity: The Emergence of a Neo-Configurational Perspective. Journal of Management, 2017, vol. 43, iss. 1, pp. 255– DOI: 10.1177/0149206316679252
Schneider C.Q., Wagemann C. Set-Theoretic Methods for the Social Sciences. Cambridge, Cambridge University Press, 2009, 350 p. DOI: 10.1017/CBO9781139004244.015
Bhattacharya P. How to build and analyze a panel data QCA model? A methodological demonstration of Garcia-Castro and Arino's panel data QCA model. Methodological Innovation, vol. 16, iss. 3, pp. 265–275. DOI: 10.1177/20597991231179389
