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Публікація Потенціал інноваційно-інвестиційних можливостей промислових підприємств(Кременчуцький національний університет ім. Михайла Остроградського, 2017) Косенко, Олександра Петрівна; Перерва, Петро Григорович; Ткачов, Максим Михайлович; Назаренко, Станіслав МиколайовичДоведено, що лише активізація процесу інвестування в інноваційний розвиток може викликати якісні зрушення в техніці та технології виробничої бази промислових підприємств та покращити кінцеві економічні результати їх діяльності на основі підвищення якості управління збігом інвестиційного попиту та інвестиційної пропозиції на ринку інвестиційних товарів.Публікація The rank estimate of the commercial potential of intellectual technologies(Academic Society of Michal Baludansky, 2015) Kosenko, Alexandra; Pererva, P. G.In the article methodical approach to ranking the technologies created on the basis of intellectual property. The basis for the ranking is based on the desirability function Harrington, which is defined in the range from "0" to "1" and can be used as a dimensionless scale for assessing the levels of various parameters of the objects. The practical mechanism of action of the method relative assessment of the level of commercial potential of a number of alternative intelligent technology is considered on the example of technological process of manufacturing of rotor asynchronous motors. As an alternative technology products 8 discusses options of technologies of manufacturing of rotor asynchronous motor developed in Ukraine (5 technologies), Russia (two technologies) and Kazakhstan (one technology). The authors developed a methodology of ranking technologies, which includes 7 stages. In the first stage identifies technology-competitors and gathering information about their most important options. In the second stage, the calculated value of the reduced level of commercial potential of technologies for the boundary values of desirability function. In the third stage examines the values of indicators of alternative technologies, the characteristics of their consumption, the specific needs of consumers. In the fourth stage are the calculations of the coefficients of the approximating equations for each of the indicators that Express the analytical dependence between the summary value of the commercial potential and actual parameter value of each technology. At the fifth stage of the calculations the values of the combined commercial potential for all alternative technologies that are investigated. In the sixth stage, in accordance with the recommendations of the desirability function set rating values for each indicator of alternative technologies. The seventh stage is determined by the total value of commercial potential (generalized function of desirability Harrington) smart technologies that are compared. The authors have proved that the final result of the calculation by the proposed method largely depends on the number of parameters of the alternative technologies considered. The more parameters of the technologies considered, the more accurate top rated technology reproduces the specific conditions of consumption of a specific enterprise. But to a certain extent, reduced the assessment of scientific value and of progressive technologies, which are offset to additional, less important factors.