Affiliation:
1. Belgorod State Technological University named after V.G. Shukhov
Abstract
In the context of large-scale digitalization of the economy, the convergence of domestic economy’s digitalization processes and innovative development is of especial importance and makes it necessary and expedient to improve the methods for assessing the innovative digital activity of domestic enterprises. Within the framework of this study, we offered the method for the rapid estimation of the domestic enterprises’ innovative digital activity, based on the use of a generalizing indicator - the integral coefficient of enterprises’ innovative digital activity, which is recommended to be found in several stages. At the first stage of the mentioned method, it is necessary to determine the list of indicators characterizing the level of enterprises’ innovative digital activity. At the second stage, they need to calculate the ratio of the indicators of each of the enterprises to the corresponding parameter of the leading enterprise. At the third stage, the integral coefficients for each enterprise should be calculated. Based on these integral coefficients you can make a top list of enterprises according to the level of their innovative digital activity. Depending on the values’ intervals of the obtained integral coefficients, it is possible to determine the levels of innovative digital activity of enterprises in various sectors of the economy: very high, high, medium, satisfactory and low. This method’s testing was carried out on the example of enterprises that are part of various sectors of the Russian economy - industry, services sector and construction - on the basis of the available official statistical data for years 2017-2019. The presented method can be used at the initial stage of assessing the innovative digital activity of enterprises. It allows to get rather accurate results possessing a large bulk of initial data, taking into account the features of digital transformation and the distinctive activities of the enterprises under study. The method is of general-purpose, so it can be used for analyzing innovative digital activity of economic systems of various levels (enterprises, industries, regions).
Publisher
FSBEI HE Voronezh State University of Engineering Technologies
Subject
General Agricultural and Biological Sciences
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