Open AccessThe model of challenges to trust in the modern Russian Federation
Author(s) -
Mikhail Yuryevich Zelenkov,
Aleksandr Georgievich Tyurikov
Publication year - 2022
Publication title -
sociodinamika
Language(s) - English
Resource type - Journals
ISSN - 2409-7144
DOI - 10.25136/2409-7144.2022.2.37600
Subject(s) - probabilistic logic , computer science , russian federation , order (exchange) , value (mathematics) , politics , term (time) , key (lock) , data science , element (criminal law) , operations research , political science , artificial intelligence , sociology , computer security , business , law , engineering , regional science , machine learning , physics , finance , quantum mechanics
The subject of the study is challenges to trust. The purpose of this article is to form a key base of challenges to trust (TOP-10) in Russia, to assess their creative and destructive beginnings and to build on this basis a predictive-probabilistic model of their manifestation. The methodological basis of the study was a system-integrated approach, which allowed to reveal the problems of relationships in the "challenge-trust" chain, to identify the challenges affecting the long-term dynamics of the level of trust in Russia, which was provided by the use of STEEPV analysis, involving the consideration of social (S), technological (T), economic (E), environmental (E), political (P) and value (V) aspects. Content analysis and comparative analysis of a wide range of theoretical and empirical works on trust and challenges of our time made it possible to form a common base of challenges to trust in Russia. The basis for constructing a predictive-probabilistic model is the method of assigning a numerical percentage value to a call in order to create a common probabilistic platform for comparison. The construction methodology assumed the allocation of expert knowledge and their subsequent synthesis on the basis of an interactive procedure for expressing individual judgments of specialists. В The scientific results of the work were: a key database of trust challenges in the Russian Federation, a predictive-probabilistic model of trust challenges in Russia, which is built in the format of cross-references revealing the dichotomous characteristics of calls and their classification. The fundamental scientific conclusion was the postulate that in the conditions of modern challenges, with the existing initial level of trust, the mechanisms of trust formation functioning in the state are becoming increasingly important, the main task of which is to create a creative response that will dampen the impact of the challenge on trust, and in certain cases, increase the level of trust based on the use of positive (creative) characteristics a call.