UDC 334.021: 519.83
4DOI: 10.36871/2618­-9976.2024.09.001

Authors

Ekaterina A. Mihel,
Assistant of the Graduate School of Industrial Economics, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
Andrey A. Zaitsev,
Doctor of Science (Economic), Professor, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
Dmitry G. Rodionov,
Doctor of Science (Economic), Professor, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

Abstract

This article develops the research direction of the game model, with the help of which it becomes possible to evaluate and optimize the strategic interaction of industrial enterprises with contractors. The modeling takes into account aspects of the automotive industry, taking into account the problematic situation of this industry in the Russian economy. In this context, the relevance of finding tools and adapting them to improve the ways of interaction between economic entities in problematic industries is increasing. Game decisionmaking allows you to develop a set of counterparties, as well as to evaluate them for further distribution of interaction. The methodological base of the study includes the basics of game modeling and consideration of decisionmaking criteria. It is also advisable to use scenario analysis to form a choice of alternatives. The object of the study is the interaction between automotive enterprises in conditions of uncertainty, the analysis is carried out directly on the leading entities in the industry in the Russian market: AvtoVAZ, Havale Motor Manufacturing Rus, Moskvich and Hellas Intertrade. The subject of the study is the application of decisionmaking criteria to optimize interaction in the context of strategic planning. A feature of this study is the analysis of the direct revision of criteria in the algorithm of game decisionmaking, which complements previous studies. The results obtained make it possible to form strategic interaction between enterprises and their counterparties, taking into account the potential deviation characterizing the multiprobability nature of the external environment. Based on the revision, it becomes possible to take into account risk conditions and potential deviations in the process of optimal distribution of interaction between the participants in the process.

Keywords

Algorithm, Decisionmaking, Automotive enterprise, Strategic planning, Game model, Interaction, Industrial enterprise, Uncertainty, Counterparty, Risk condition, Distribution criteria