Development of a model for determining the level of efficiency of the activity of innovative enterprises

Разработка модели определения уровня эффективности деятельности инновационных предприятий

Abstract

The article is devoted to the development of a model for determining the level of efficiency of the activity of innovative enterprises. The importance of digitalization and expanding the application of innovations is justified. The urgency of the application of the Internet of Things, 5G, robotics, Big Data, cloud, and artificial intelligence technologies were noted. The special role of high technologies and innovative enterprises in the development of the digital and innovative economy has been shown. Prospects for the application of Industry 4.0 technologies in the activities of technopark structures aimed at the realization of knowledge-based, innovative product manufacturing were studied. Relevant work in this area has been studied, problems of effective management of the activity of innovative enterprises have been identified and solutions have been commented on.

The functions of the management system of innovative enterprises were noted and a model of operation of modern innovative science and technoparks was proposed. A comprehensive evaluation method has been developed for indicators, criteria and efficiency of evaluating the performance of innovative enterprises. A comprehensive analysis of the system of indicators on the analysis of the activities of innovative enterprises was conducted. A system of composite indices for evaluating the performance of innovative enterprises has been proposed, and its architecture has been developed in a multi-level manner. The method of calculating the composite index is presented, and its dependence on other subindices is shown.

It was noted that each of the 10 important indices that make up the composite index consists of sub-indices of different levels. These functional dependencies are expressed in the form of multivariate regression equations. A method of comparative assessment of the complex performance of innovative enterprises has been developed. The relationships between the values of the composite index and the indices that affect it are mathematically modeled and the results are presented schematically. Estimates of statistical parameters of the composite index assessment model of innovative enterprises are given. The results of expert assessments of weight coefficients of composite indices on a comparative assessment of the activity of innovative enterprises are shown.

The final score was calculated for each index of the weight coefficients given by the experts to the indices selected to form the composite index. The results of expert assessments of the proposed indices and their weight ratios, which have a significant impact on the composite index and are proposed for the comparative assessment of the activities of innovative enterprises, were calculated. Relevant recommendations for the application of the models are given.