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Modelling the assessment of smart-industrialization level

Journal: Scientific and practical journal “Economy of Industry” (Vol.86, No. 2)

Publication Date:

Authors : ; ; ;

Page : 107-125

Keywords : assessment; smart industrialization; processing industry; smart enterprises; economic and mathematical modeling;

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In the paper an approach to assessing the conformity of industrial production, individual enterprises in particular and the economy as a whole has been developed in accordance with the smart industrialization criteria, as well as the level of smartization of advanced countries’ economies and Ukrainian economy has been assessed using this approach.Currently, there are no approaches that allow a fairly objective assessment of the smart industrialization level of a country's economy or individual enterprises. Given that the introduction of smart technologies (big data, the Internet of things, smart sensors, etc.) is accompanied by an increase in investments in computer software and databases (software and DB), these investments or the costs of software and DB, used in manufacturing, which will directly correlate with the complexity of the tasks, solved by cybernetic systems, should become the base for evaluating the level of smartness. The paper shows the feasibility of using the ratio of software and DB costs to costs of machinery and equipment (“smartization” of capital) and the ratio of software and DB costs to the value added (“smart intensity” of manufacturing). These proportions have been used as the basis of the required composite indicator of industrial enterprises’ compliance with the smart industrialization criteria. The obtained indicator has a number of advantages: it’s simple to calculate; the obtained estimates are stable and reliable; it doesn’t require the initial data to be comparable; it can be analyzed over time; it’s invariant to the scale of manufacturing and can be calculated both for individual enterprises and for the industry or economy as a whole.The indicator was tested on data from Australia, Germany, the Czech Republic and Ukraine, while modeling for Ukraine was complicated by the lack of official statistics on the value of software and DB for the manufacturing industry. The analysis of the modeling results led to the conclusion that Ukraine lags behind the advanced economies in terms of smart industrialization: investments in machinery and equipment are not accompanied by investments in the creation of the software environment of the smart industry. The created indicators can be used to substantiate managerial decisions at both the micro and macro levels, in particular - to determine directions of investments, compare with advanced economies and companies, and also to assess the effectiveness of government policies in the smart industrialization.

Last modified: 2019-09-11 22:17:33