Abstract. For the network enterprises under research, the acquisition, organization of application of technologies, programmes, equipment which will improve economic, market, technical indicators, will provide the possibility to increase the general level of innovation has been suggested. To ensure the optimal selection, the use of innovative platforms for the selection of technologies, programmes, equipment has been proposed. Its application provides the possibility to identify the needs of innovative development of each of the enterprises under research and to develop individualized areas of innovation. The purpose of the article is to identify key problems of innovative development of Ukrainian network enterprises and to develop ways to improve its management on the basis of promising technologies. The methodology of assessing the state of innovative development of enterprises on the basis of four groups of indicators, namely the financial ones, the impact of innovative capacity on the level of international business development, staff composition, and logistics system, which has been implemented for five network structures on their primary information base, is presented. The expediency of adapting the Polish experience regarding the use of an innovative selection platform, which provides simulation modelling of the implementation of technologies and programmes, to the conditions and features of Ukrainian networks has been proved. Only network enterprises and their management system and innovative development were considered. The use of algorithms for commercialization of technologies, software that will allow the staff of research units of network structures to identify individualized needs of innovative development and develop individualized areas of innovation of the network structure, thus ensuring greater efficiency of innovation has been proposed. The results of the assessment made it possible to identify the main problems of innovation in network enterprises.
Keywords: innovative development, simulation modelling, intellectualization, network interaction, network enterprises.
JEL Classification O31, O32
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