Статья: IMPROVING THE INFORMATION SECURITY OF INDUSTRIAL ENTERPRISES THROUGH THE AUTOMATION OF DATA AND INFORMATION MESSAGE TRANSMISSION PROCESSES (2024)

The present paper develops an invariant ontology of strategic interaction in a sociotechnical system using game theory tools. In the course of the research, ontologies are considered tools for modelling sociotechnical systems, including tools for social and technical process integration. The demand for these tools derives from the need to integrate people into technical systems as equivalent and equal elements that exert both external and internal influence on the system. Such sociotechnical models have already been applied to describe enterprise information structures, but they lack a description of decision-making between the system elements within the strategic inter-action. As part of the solution to this problem, an ontology-based model of a sociotechnical system describing the interaction of both social and technical elements through game interaction is developed. Each of the participants in the interaction is described in terms of game theory, with the allocation of possible strategies and the corre-sponding winnings. Through the interactive entities within the game theory model, game interaction takes place between the participant and appropriate behaviour strategy selection. The model is a exible, scalable tool for building simulation models of sociotechnical systems. The results obtained will be tested when real sociotechnical systems are built, and the ontology will be re ned according to the results obtained.

Today, in order to develop national economies, it is necessary to pay attention to the economies of the regions of the countries. The regional economy is the basis of the national welfare. In the Russian Federation there are a number of problems with regional development, one of which is the differentiated development of the constituent entities of the Russian Federation. Every year, the difference in development increases due to the rapid growth of large economic regions and the lag in regions removed from the central regions. In the context of such key competition factors, this development becomes competitive in the region. The article examines various concepts of and approaches to regional competitiveness that contribute to the formation of comprehensive economic cooperation. Through analysis of statistics on indicators of the socio-economic development of some regions of the Russian Federation, the reason for the observed disproportion was identified. This reason is the outflow of population. A person with strength and skills is a key part of building a regional economic system. To solve problems that arise in the work, a model for increasing regional competitiveness is proposed, which includes three stages. The first is basic, focusing on building the foundations of production; the second stage involves focusing on the development of science and education; and the third is creative, focused on the development of creative industries. Thus, the model proposed by the author meets the criterion of complexity, as well as the requirements for increasing the competitiveness of regions in the medium and long term, which will contribute to the socio-economic development of the constituent entities of the Russian Federation, balance and balance in the level of development of the country as a whole.

This article considers entropy analysis as a tool for assessing the sustainability and integration of regional economies into national and international economic systems. Three key types of entropy are de ned - economic diversi cation, income and employment distribution and interregional ties. The methodology for calculating entropy indicators based on the generalised Shannon entropy formula is presented. A comparative analysis of three hypothetical regions was conducted on the basis of entropy indices. The obtained results allow us to quantitatively assess the speci cs of regional development, identify imbalances and propose strategies to improve the sustainability and economic diversi cation of regions.

This paper describes the development of an agile project management system. This research is relevant because of the feature of agile projects consisting of changing requirements. We developed the architecture of the backlog and tasks management system, including a duration prediction module. Using the developed system, managers have the opportunity to divide project processes into sprints depending on the prediction and value for the stakeholders. The authors propose a method for predicting agile project duration by formalising the application of expert Story Point evaluation and subsequent Monte Carlo simulation. Based on the developed method, an algorithm for the dynamic prediction of task duration was designed. Integration of the developed method into the system made it possible to reduce the assumptions and limitations associated with updating user story data and participation in the projects of new and cross-functional teams. The developed system allows managers to cope with agile project bottlenecks.