Journal of Applied Economic Research
ISSN 2712-7435
Prediction of Indicators of Competitiveness of Large-Scale Industrial Complexes
Krivorotov V.V., Kalina A.V., Tretyakov V.D., Erypalov S.E., Patrushev A.V.
Abstract
This article paper proposes the authors' methodological toolkit for performing the assessment of corporate competitiveness and forecasting values of competitiveness indicators in industrial complexes. The article is based on the analysis of existing approaches to the problem. The competitiveness assessment of industrial complexes is based on a method that comprehensively considers various aspects of activity of the industrial complex being studied on the basis of comparative analysis of leading competitors in terms of their current competitiveness and competitive potential of an industrial complex. A block structure of indicators of the competitiveness of an industrial complex is formed within the limits of the indicated fields and includes the following blocks of indicators: measures of current competitiveness - operational efficiency and the market position; competitiveness of the main product types; the state and efficiency of the functioning of production facilities; the efficiency of staff and personnel policy; qualities of organization and management; investment and innovative activity, risks connected with the operation of an industrial complex; for the assessment of competitive potential - potential of industrial capacity utilization; market potential; a match between personnel qualifications and the requirements of scientific and technical progress. The structure of the indices of competitiveness, their benchmark (reference) values, approaches to and algorithms of the definition (calculation) of the indicators are developed for each block. The scenario approach serves as the basis for forecasting the indicators of the competitiveness of industrial complexes. The approach draws upon the scenario conditions of the development of the national economy and key markets for products of the industrial complexes under consideration. A step-by-step algorithm for obtaining forecast values of the business indices underlying the definition of competitiveness indicators of an industrial complex is generated. The practical implementation of the proposed methodological tools has been carried out for the purposes of solving the problem of estimating and predicting the values of the competitiveness indicators of the largest Russian power machine building complex formed by the Uralelektrotyazhmash group of enterprises of. The obtained results showed the practical feasibility of the developed methodological tools and the possibility of its use for solving the problems of strategic development of the industrial complex in question.
Keywords
industrial complex; competitiveness; competitiveness assessment; level of current competitiveness; competitive potential; integral index of competitiveness; prediction of indicators; scenario approach; economic and statistical models
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About Authors
Krivorotov Vadim Vasilyevich – Doctor of Economics, Professor, Head of De-partment of Economic Safety of Industrial Complexes, Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia (620002, Ekaterinburg, Mira street, 19); e-mail: v_krivorotov@mail.ru.
Kalina Alexei Vladimirovich – Candidate of Technical Sciences, Associate Professor of the Department of Economic Safety of Industrial Complexes, Ural Fed-eral University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia (620002, Ekaterinburg, Mira street, 19); e-mail: alexkalina74@mail.ru.
Tretyakov Vasiliy Dmitrievich – Candidate of Economic Sciences, Project Office Manager, CJSC «Energomash (Ekaterinburg) – Uralelectrotyazhmash», Ekate-rinburg, Russia (620017, Ekaterinburg, Frontovykh Brigad street, 22); e-mail: vdtretyakov@mail.ru.
Erypalov Sergei Evgenievich – Candidate of Economic Sciences, Doctoral Student, Director for Capital Construction and Investments of Ural Mining Metallurgical Company – Holding Corporation, Verkhnaya Pyshma, Russia (624091, Sverdlovsk region, Verkhnaya Pyshma city, Uspenskiy Prospekt, 1); e-mail: ese62@rambler.ru.
Patrushev Andrei Valerievich – Post-Graduate Student, <st1:placename w:st="on">Ural</st1:placename> <st1:placename w:st="on">Federal</st1:placename> <st1:placetype w:st="on">University</st1:placetype> named after the first President of Russia B.N. Yeltsin, <st1:place w:st="on"><st1:city w:st="on">Ekaterinburg</st1:city>, <st1:country-region w:st="on">Russia</st1:country-region></st1:place> (620002, Ekaterinburg, <st1:address w:st="on"><st1:street w:st="on">Mira street</st1:street></st1:address>, 19); e-mail: andrewissc@mail.ru.
For citation
Krivorotov V.V., Kalina A.V., Tretyakov V.D., Erypalov S.E., Patrushev A.V. Prediction of Indicators of Competitiveness of Large-Scale Industrial Complexes. Bulletin of Ural Federal University. Series Economics and Management, 2017, Vol. 16, No. 6, 880-908. DOI: 10.15826/vestnik.2017.16.6.042.
Article info
Received October 14, 2017; Accepted November 11, 2017.
DOI: http://dx.doi.org/10.15826/vestnik.2017.16.6.042
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