Application of systems analysis for reconstruction of the model of cross-border resource flows and collaboration in R&D under the influence of sanctions

Purpose: of the article is to form assessments based on system analysis to determine with whom Russia needs to interact in a situation of severe sanctions both in an open economy and whithin the framework of an open innovation model.Methods: the provisions of the system-economic paradigm and methods of an system analysis are applied to the economy, business, state, scientific, technical, infrastructural, social environment.Results: the results of a system analysis of the conditions and factors influencing the reconstruction of the model of cross-border resource flows and scientific and technical cooperation under the influence of sanctions are presented. The hypothesis is confirmed that the replacement of high-tech imports from the EU with supplies from China, India and other developing countries cannot be considered as a systemic solution in the long term, but can to a certain extent serve the Russia's technological security; maintain the stability of the production cycle in the Russian economy during fluctuations. This is illustrated by empirical evidence for the flow of energy resources and goods between countries and R&D collaboration. Arguments are given to substantiate the hypothesis about the strengthening of the influence of relationship factors, the interests of the parties, the human factor on the change in resource flows and the nature of scientific and technological cooperation due to the growing uncertainty of the situation. Variants of the influence of the relationship factor are considered from a systemic standpoint: on the one hand, as an adaptive, shaping factor of a turn towards Asian countries; on the other hand, as destructive, in which each of the parties pursues its own interests.Conclusions and Relevance: the results of the analysis confirm the relevance of the traditional recommendation to structurally and geographically diversify cross-border interactions based on the principle of a parity exchange of resources for advanced technologies and high-tech goods. The results of the analysis are consistent with the findings of leading scientists and experts in this field and can be used to make agile decisions about anti-crisis policy, national strategies, international interactions, and R&D collaboration.