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.
Within the presented study, applied aspects of the resource provision of innovation and investment strategies for modernization of microeconomic systems in the context of digitalization are submitted. It is substantiated that the modernization of microeconomic systems is a certain activation of the potential modernization aimed at improving the efficiency of processes, technologies, management of products, services and more. Modernization challenges of microeconomic systems are implemented through strategic management of the enterprise development provided resource provision of the potential modernization. Initial conditions of the resource provision of the microeconomic systems modernization in the conditions of digitalization are singled out, which include: efficiency; availability and clarity of the algorithm analysis formed by information base and tools; clear calculations of the cost of attracting resources to the modernization process; forecasting and assessing the risks of incomplete implementation of modernization. It is proved that in the methodological support of resource management of microeconomic systems in the design, the method of subjectivity of distributions or cost centres is used. The methodical toolkit of the resource provision optimization of modernization designing of microeconomic systems in the conditions of digitalization with application of the competitive selection model of modernization projects for the carrying the chosen strategy of the resource supply is offered. The proposed approach to the optimization of resource provision of modernization design of microeconomic systems in the context of digitalization involves: formation of a set of applications based on the preferential principle and priority of innovation and investment strategies; assessment of actual indicators of resource efficiency in modernization projects by each participant; decision-making on providing resources to the modernization project; determining the completeness and redundancy of the resource allocation between projects; distribution of residual resources.
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