Abstract

Since modernization challenges of microeconomic systems are implemented through strategic management of the modernization potential development of enterprises, the rationale for choosing an exclusive innovation and investment strategy is proposed. An algorithm for making managerial decisions based on the model of "preferences in the implementation of investment and innovation strategies" ("PIIIS") is built. The model is based on the concept of strategic management, economic and mathematical hierarchy of potential levels of cognitive judgment, optimization of resources on demand and the structure of innovation and investment strategies. This allows to ensure the efficiency and resource conservation of individual innovation and investment strategies in modernization potential of the enterprise. The sequence of establishing preferences of innovation and investment strategies for activating modernization potential of microeconomic systems is proposed. To model the process of granting preferences to innovation and investment strategies, a system of coefficients based on the potential profile level using cognitive judgments is substantiated. Resource-providing, accumulating, implementation and resulting levels of the modernization potential development are singled out. According to the profile levers, target tasks and alternatives of preferences of innovation and investment strategies for the modernization potential development are identified. Decomposition of tasks of granting preferences to innovation and investment strategies to intensify modernization potential of microeconomic systems is substantiated. It is proposed to use mathematical tools for the analysis of hierarchies, based on mathematical and cognitive judgments based on the T. Saaty model. Application of the Pareto model for the distribution of the coefficients influence in the effectiveness of the components analysis of the potential profile is presented. The choice of innovation and investment strategies for the modernization potential development for enterprises in the infrastructure sector of Ukraine is analyzed and determined.

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