Grechan P. Management of innovative activity of motor transport enterprises to ensure their economic development

The dissertation is devoted to the development of models, methods and tools for managing the innovative activity of road transport enterprises in the context of ensuring their economic development. The paper develops the conceptual provisions of innovation activity management and, taking into account the specifics of motor transport enterprises, proposes an effective mechanism for managing their innovation activity aimed at strategic development. The main components and functions of innovation activity are formed, the factors of influence on its efficiency are allocated taking into account features of internal and external environments. The essence of economic development of the enterprise is revealed, its transformation from the position of the system approach is traced. The leading role of innovation activity management in ensuring the economic development of the enterprise is determined. It is implemented through an effective mechanism that involves the development of appropriate models and the active use of effective methods and tools for managing the activity of innovative activities of enterprises. The research proposes a vector model that allows to evaluate the effectiveness of innovation management of motor transport enterprises, taking into account three separate integrated performance indicators: innovation, innovation potential and financial support of innovation processes of the enterprise. A step-by-step model for assessing the impact of innovation activity management on the efficiency of motor transport enterprises has been formed. It involves modeling the rationale for a system of key indicators of the effectiveness of innovation management and the definition of general normalized indicators. During the modeling, integrated indicators were identified in the following areas: innovation activity, potential and financial support of innovation processes of the studied enterprises. Based on the hierarchical clustering of trucking companies using the k-nearest neighbor method, four groups of enterprises were identified according to their level of innovation activity: cluster of low level of innovation activity, moderate, noticeable and high level of innovation activity. The vector of management of innovation activity of each of the studied motor transport enterprises in accordance with the formed clusters is determined, which allows not only to quantify the level of efficiency, but also to identify the most effective or underdeveloped direction of innovative activity of motor transport enterprise The correlation analysis is carried out on the basis of development of a matrix of correlation of constituent indicators of a vector of management of innovative activity. Based on the results of cluster and correlation-regression analysis, the vector of innovation activity management of motor transport enterprises is modeled taking into account its level in the form of equations that demonstrate the importance of individual components of innovation activity management. Formed regression models of innovation activity management allow to determine the change in the efficiency of innovation activity as a result of changes in one of the three indicators (innovation activity, innovation potential and financial support of innovation processes). It also provides an opportunity to predict the vector of innovation management and assess its focus on the effectiveness of the enterprise as a whole. The influence of management of innovative activity of researched motor transport enterprises on their economic development with the use of taxonomic indicator of development is determined in the work for what the standardized matrix of indicators of efficiency is formed. Substantiation of the further strategic direction of activity of the enterprises is offered to be carried out by means of the developed navigator of harmonization of management of innovative activity of the enterprise. This allows you to consider alternative options for managing innovation activity, optimize them by combining asymmetry and harmonization of development, as well as justify management decisions to improve the efficiency of innovation activity of enterprises and their development in general.