Abstract:

The work deals with the problems of innovation transfer and intellectual property management at enterprises. An approach reasoning the choice of innovations and the type of their transfer at an enterprise has been developed, which increases the efficiency of innovation processes. For this purpose, the essence of the category “innovation transfer” regarding the micro-level was clarified and determined according to the sources of innovations. A set-theoretic model of innovation selection based on evaluating the essence of innovations, their generators (suppliers) and implementation conditions has been developed. For such an assessment, a set of criteria has been proposed, a number of the most essential conditions for introducing innovations at an enterprise have been identified, and an optimization model for the efficiency of the innovation development process has been developed. They allow making an informed choice of innovations in accordance with the needs of the enterprise. Evaluation criteria for the innovative potential are proposed and their essence is determined. Testing of the evaluation confirmed the possibility of using the proposed criteria. A model of innovation transfer, which presents the main processes and participants in the transfer of external and internal innovations has been developed, which allows enterprises to ensure a high level of organization and implementation of the transfer. Given the direct relationship between the transfer of innovations and intellectual property, an approach to improving intellectual property management at the enterprise is proposed. A number of principles of intellectual property management have been determined. The stages of intellectual property management at the enterprise are proposed as a set of specific actions determining all processes directly or indirectly related to such management, as well as those responsible for these processes and resource provision. Author Biographies Valentyna Ivanova, University of Educational Management Doctor of Economic Sciences, Professor Department of Economy, Entrepreneurship and Management

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