Efficiency of Network Interaction During Import Substitution and Organization of Export Activities

Aim. The presented study aims to examine the influence of the quantitative and competence composition of the participants of an innovation network on its economic efficiency.
Tasks. The author performs the benchmarking of fourteen foreign and Russian car manufacturers to develop a reference model of innovation network efficiency in the field of production of smart vehicles; collects an array of data according to two analytical indicators, including the duration of the model range update cycle and the growth rate of new car sales; evaluates the economic viability of forming an innovation network with participants balanced in terms of their specialization in the organization and implementation of innovative or production activities; compares reference data pertaining to the market of passenger cars on the one hand and integral indicators of network interaction participants in the field of creating smart vehicles on the other; analyzes the correlation between the results of evaluating the economic efficiency of network interaction and input parameters.
Methods. This study uses the methods of systems and correlation-regression analysis as well as sensitivity analysis of the developed reference model. Results. It is found that a decrease in the amount of investment results in a slight decrease in the efficiency of network interaction compared to the change in the number of participants and the corresponding competence profile. Consequently, the sensitivity of the formed network to changes in the amount of investment is lower compared to changes in the competencies of network interaction participants.
Conclusions. In the most general formulation, the selection of the subjects of an innovation network comes down to finding a dynamic balance between participants with an innovative area of competence and those who specialize in production. The methodology is tested using data on the activities of 45 industry enterprises and organizations, making it possible to identify predictive quantitative patterns in the influence of the balance of participants of the developed innovation network on the analyzed indicators of its innovation and production activities. The practical significance of the proposed approach lies in the possibility of using it for the organizational support of import substitution programs as well as for launching initiatives aimed at forming export networks in the Russian economy and orienting them towards creating a technological export flow.

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