Agent-oriented model of the region's industry digitalization

Abstract

The article is devoted to the model of the digital technologies introducing in the region's industry. It takes into account the most important factors, such as the behavior of firms, their attitude to digital technologies and the impact of government subsidies. The object of research is the regional industrial complex as a complex adaptive system. The subject of the research is the economic relations emerging in the process of digital transformation of industry. The purpose of the research is to model the processes of digitalization of industry within the framework of the regional industrial complex. The author has used agent-oriented modeling as a methodological tool of the research. The theoretical basis of the research is the theory of complex systems, game theory, theory of diffusion of innovations. The model is implemented in the Anylogic modern software environment. As a result, an agent-oriented model was created; algorithms for digitalization decision-making by industrial enterprises were implemented. We take into account the effects of collective technological transformation. The created version of the model allows by scenario simulations to assess the significance of factors affecting the intensity of digitalization - an increase in the amount of subsidies for digitalization, taking into account the scale of enterprises, industry characteristics, information impact on the heads of industrial enterprises, etc. The model allows us to observe the dynamics of the digital transformation process, to identify peculiar wave-like effects. The specifics of the model are taking into account limited rationality in the behavior of firms, the information interaction between industrial enterprises, time lags in the introduction of digital technologies. The results can be useful to researchers, specialists of industrial enterprises, representatives of government authorities for the formation of a system of incentives for the digital transformation of industry. The obtained results can become the basis for further development of model tools for digitalization management