Information support for monitoring convergence of industries

Abstract

One of the leading factors contributing to emerging cardinal structural shifts in recent years has been increasing importance of innovation in economic systems development. The innovation process has transformed from a “rare” economic phenomenon into a driver of economic development. Innovations change the structure of reproduction, institutional structure, and technological structure of the economy, increase the rate of technological modes change, and achieve convergence of macro-technologies. Its introduction into the production sector is the cause of changes in industrial structure and its diversifiation. In this regard, the task of forecasting the rate of innovation development in the context of convergence of the Russian industrial enterprises becomes relevant. To solve this problem, a methodology ofinformation support for monitoring convergence ofindustrial sectors, as well as a structural and content model for managing convergence ofindustrial sectors within the framework ofmodern concepts, has been proposed. Thus, the system of industrial policy instruments has been formed. Its composition is determined by application of the developed model of information monitoring of convergence development level in industries. It allows to develop a set of control actions for each level of convergence, depending on the pace and scale of technological development, types of production activities included in the industry, with a focus on the most relevant modern concepts and development strategies.

Keywords

• monitoring
• convergence
• innovative development
• industry
• research costs
• information support
• forecasting