TRUST RISKS AND INDUSTRIAL DEVELOPMENT: FRAMEWORK OF THE JOINT ANALYSIS

Authors

  • Nataliya A. Kosolapova Southern Federal University Автор
  • Anastasia Yu. Nikitaeva Southern Federal University Автор
  • Darya S. Laskova Southern Federal University Автор

DOI:

https://doi.org/10.22394/2079-1690-2023-1-1-18-26

Keywords:

trust, industrial development, risks of industrial development, Social Mining

Abstract

The article reveals the issues of the relationship between the risks of trust and industrial development, taking into account the inclusion of socio-cultural factors in the analysis of economic dynamics. The study characterizes the concept of trust and identifies the directions and areas of its impact on industrial development in the transition to the neo-industrial paradigm. The high role of the authorities and the openness of public structures in the formation of trust is substantiated. The study determined that it is advisable to use Data mining tools to assess the level of trust. It is proved that Social Mining technologies make it possible to determine the level of trust and, with subsequent conjugate analysis of the dependence of the level of neo-industrial development and the level of trust, to conduct a proactive risk analysis, identifying them at an earlier cyclical level for timely regulatory impact.

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Published

2023-01-15

Issue

Section

Articles