BUSINESS INFORM №10-2016

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Section: Innovative Processes
UDC 330.341.1:336(477)
Melnyk A. G.
The Methodology for Developing Innovation Systems: Preconditions to the Emergence of Optimization Effects and Some Solutions to Optimization Tasks (p. 106 - 112)
In the article preconditions for the emergence of optimization effects in developing innovation systems are formulated. The essential constraints regarding the setting optimization tasks in developing innovative systems have been outlined, taking into consideration the polyfunctional extension of optimizing the innovation systems, abandoning the formal statement of tasks of multicriterion optimization and partial restrictions for the vector definition of the target function of optimization. Three following directions for optimization of developing innovative systems have been determined: polystructural optimization, functional optimization and optimization effects of shift of technological productivity of the innovation systems of primary aggregation. A methodical approach to calculating the optimization function has been developed, based on dynamic model of technological shift in the national innovation system (NIS). A calculation of values for the criteria of optimal allocation of productivity of innovative technologies in the NIS has been proposed, with account of the structural unification of financial flows on the yield of intangible assets.
Keywords: optimization effects, optimization tasks, shift of technological productivity, target function, criteria of the optimal allocation, development of innovative systems
Fig.: 1. Tabl.: 2. Bibl.: 11.

Melnyk Alexander G. –

Article is written in Ukrainian
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Reference to this article:
Melnyk, Alexander G. (2016) “The Methodology for Developing Innovation Systems: Preconditions to the Emergence of Optimization Effects and Some Solutions to Optimization Tasks.” Business Inform 10:106–112.

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