Abstract

The problem of the impossibility to ensure the technological development of industrial enterprises in the new economic conditions of digitalization based on traditional approaches developed for the conditions, in which modern high-tech enterprises no longer operate, determined the core scientific idea of the study. It forms a conceptual model for the intelligent infrastructure of technological development at industrial enterprises based on the principles of infrastructure-reproduction approach. Domestic and foreign management theory presented with a variety of concepts, including those focused on modern aspects of management, due to structural changes in the economy based on digital technologies, do not give a sufficiently clear idea of the management features of the intelligent infrastructure formation for technological development at industrial enterprises in the new economic conditions. This is an urgent scientific problem to be solved. The proposed concept is based on methods of system analysis and scientific modelling, economic-statistical methods (grouping, typing, constructing time series, determining ratings, etc.), to analyze and compile statistical information, identify trends and characteristics of technological development at industrial enterprises, analytical method when performing analytical calculations, graphical method for the visualization of the results. From the infrastructure-reproduction approach the article reveals the components of the conceptual model for intelligent infrastructure of technological development at industrial enterprises, and presents the essential links between them, due to the task of achieving the target results in the field of technological development in the digital economy. The presented model can influence the management orientation of a modern industrial enterprise and the choice of an acceptable organizational solution in the field of staff intellectual resources management for its technological development. These results will allow developing research, designing and implementing organizational and management systems and mechanisms to ensure the technologization based on effective intellectual and resource support in the industrial sector in the digital economy.

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