Managing the Creation of Promising Products Based on the Selection of Intellectual Property Objects in the New Economic Conditions

The research focuses on selecting intellectual property objects to create new promising products. The discussed issue is relevant in the current geopolitical conditions when the Russian economy finds itself under the influence of economic and political sanctions. The sanctions policy implemented by the countries of the European Union, the USA, and others puts Russian industrial enterprises before the challenge of a significant increase in the production of knowledge-intensive products, including machine and machine-building products, microelectronics, medical equipment, and products of daily demand, in a short time. Through state policy, the Government of the Russian Federation takes active measures for import substitution and import independence, contributing to the achievement by Russian high-tech enterprises of the trajectory of advanced development and creation of radically new, highly competitive products based on promising objects of intellectual activity. The authors propose the algorithm for this process. The proposed algorithm is based on the application of graph theory and the construction of a tree of goals for the selection of the object of intellectual property. The essence of the algorithm for making decisions on the creation of promising products is the initial formation of a data bank of objects, their ranking, and the choice of the object of intellectual property, which has the maximum impact on the level of the final competitiveness of the final product.