Journal of Siberian Federal University. Humanities & Social Sciences / Anti- Corruption Security and its Synergetic Potential

Full text (.pdf)
Issue
Journal of Siberian Federal University. Humanities & Social Sciences. 2025 18 (8)
Authors
Nomokonov, Vitalii A.; Sudakova, Tatiana M.
Contact information
Nomokonov, Vitalii A. : Siberian Federal University Krasnoyarsk, Russian Federation; ORCID: 0000-0002-5154-0408; Sudakova, Tatiana M. : Baikal State University Irkutsk, Russian Federation;
Keywords
corruption; anti-corruption security; anti-corruption strategies; anti-corruption policy; criteria for anti-corruption security; synergy
Abstract

The article assesses the public’s awareness of the real corruption situation in the country and analyzes the factors influencing anti-corruption security, not only from a legal and criminological perspective, but also from a broader perspective, considering that anti- corruption policy should include political, organizational, economic, ideological, educational, and other measures. The article proposes possible criteria for anti-corruption security. It suggests that a synergistic approach can serve as the basis for a concept for ensuring anti- corruption security. The article highlights the advantages of resonance-based approaches over force-based methods in anti-corruption practices. Synergetic interdisciplinarity and mathematical language should be evaluated as powerful tools for studying corruption and developing effective anti-corruption security measures, allowing for the development of optimal management theory and models by establishing conditions under which the spread of corruption can be minimized. This is supported by existing in science examples of numerical modeling, which reflect the basic criteria (numerical ones) for the reproduction of corruption, as well as the equilibrium points that are free of corruption in the system. Differential equations that reflect the patterns of growth or decline in corruption, as well as machine learning algorithms such as random forests, can be used to predict the levels of corruption in different countries, while identifying the most influential factors

Pages
1486–1496
EDN
XHDULN
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/156689

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