Nosovets O. Information-analytical providing of control of innovative activities results of industrial enterprises.

The scientific novelty of the obtained results lies in the solution of an important scientific task to deepen the theoretical and development and substantiation of methodological and applied principles of information and analytical support for monitoring the innovative activities result of industrial enterprises. In the first section the connection of leading categories is defined and the concepts covering innovative activities results, on signs of their result-factor affiliation are specified, the complex concept «innovative activities results of the industrial enterprise” is substantiated and entered on reflection of set of qualitative changes of object of a certain management level (micro, meso, macro) due to its innovative activity and demarcation of the complex object of management and control, its classification is given, which provides a wider coverage of the control function of various areas and manifestations forms of innovative activities results in management process and is the theoretical basis for information and analytical support of control of innovative activities results of industrial enterprises. The second section examines the methodological principles of information and analytical support for control the innovative activities results of industrial enterprises, practical testing of which formed the basis of analytical research of the implementation environment and innovative activities results of industrial enterprises of Ukraine and Odessa region, which made it possible to identify and classify the factors of ensuring and hindering the formation of the innovative activities results in terms of the participation nature of its subjects and economic structure levels. The methodical approach and the corresponding model of definition of financial efficiency of innovative activity of the industrial enterprises which is realized on the basis of available indicators of domestic statistics are offered for the purpose of maintenance of an estimation and control of financial efficiency of innovative activity at micro, meso and macro levels of management. The third section develops recommendations for the formation of information and analytical support for monitoring the innovative activities results of industrial enterprises, which are to justify the approach to it with the separation of evaluation objects based on the author's approach to differentiation of innovative features, defined by the relevant categorical-conceptual apparatus as manifestations of its results; involves the coverage of both quantitatively and qualitatively measurable characteristics of the state of the object of management, which change as a result of innovation and embody them. Recommendations for analytical support of control over the innovative activities results of an industrial enterprise have been developed, which expand the proposed analytical tools beyond the traditional indicators of innovation analysis, both in terms of quantitative and in terms of qualitatively measurable indicators. Recommendations for information support of the use of analytical tools for monitoring the innovative activities results, which are to separate in the accounting of the enterprise information on the innovative component of its activities in terms of assets, liabilities, income, expenses and financial results, and the formation of appropriate management reporting - information base analysis, evaluation and control of the results of its innovative activities. It is proposed to improve the organizational and methodological principles of controlling the innovative activities results, which are to develop an approach to the analysis of innovative activities cycles and innovations dissemination for simulating economic business processes tools in the context of providing a cyclical relationship of management functions of planning and controlling innovative activities results industrial enterprises on the basis of the formalization of which the prognostic innovations profitability model is built.