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Assessment and improvement of competitiveness of industrial complex

Vadim Krivorotov (Department of Economic Security of Industrial Complexes, Ural Federal University, Yekaterinburg, Russia)
Alexey Kalina (Department of Economic Security of Industrial Complexes, Ural Federal University, Yekaterinburg, Russia)
Vasiliy Tretyakov (Department of Economic Security of Industrial Complexes, Ural Federal University, Yekaterinburg, Russia)
Sergey Yerypalov (Department of Economic Security of Industrial Complexes, Ural Federal University, Yekaterinburg, Russia)
Anna Oykher (Department of Machinery Production Organization, Ural Federal University, Yekaterinburg, Russia)

Competitiveness Review

ISSN: 1059-5422

Article publication date: 5 May 2020

Issue publication date: 10 September 2020

150

Abstract

Purpose

The purpose of this study is to develop a model for the selection of optimal development projects for an industrial complex (IC), aimed at improving its competitiveness.

Design/methodology/approach

Selection of optimal projects for IC development is carried out within the framework of a methodical approach to assessing and forecasting the competitiveness of IC based on the phased implementation of the following steps: assessment of the current level of competitiveness of an IC; optimization of the project portfolio aimed at improving the IC competitiveness; forecasting the IC competitiveness. The methodology for assessing the IC competitiveness is based on a comparative analysis of its activities against those of its leading competitors and evaluates two integral characteristics, namely, the level of current competitiveness and the indicator of the competitive potential. The methodical approach to the selection of the optimal portfolio of projects for the development of competitiveness is based on a step-by-step optimization of the portfolio using a dynamic programming procedure, which takes into account the implementation conditions of the projects, resource constraints and the prioritization of these projects. The targeted benchmark for the optimization is an integral indicator of IC competitiveness, comprising various aspects of its activities.

Findings

Method for multi-factor evaluation of IC competitiveness and the impact of a set of factors driving competitive advantage; set of benchmarks of IC competitiveness; the model for the selection and step-by-step optimization of the portfolio of IC development projects, aimed at increasing competitiveness in the context of resource constraints.

Practical implications

Methodology described in this paper was used to assess the competitiveness and optimize the project portfolio of Uralelektrotyazhmash Group of Enterprises (UETM), one of the largest power engineering complexes in Russia. The assessment was carried out in comparison with the leading domestic and global manufacturers of electrical equipment, which form UETM’s primary competition in the marketplace.

Originality/value

The study establishes a method for the comprehensive assessment of IC competitiveness based on the comparison of IC activity indicators with those of leading competitors. The proposed method defines an integral competitiveness index to allow for the quantitative assessment of IC competitiveness, development of measures to improve IC competitiveness and producing a methodology to forecast the impact of such measures; the study proposes a methodical approach to selecting the optimal portfolio of projects for the development of IC based on the stepwise optimization of such a portfolio while taking into account the conditions of their implementation, resource constraints and the impact on the indicator of competitiveness. This approach allows the IC to prioritize the implementation of the development projects and maximize its competitiveness in the context of available resources.

Keywords

Citation

Krivorotov, V., Kalina, A., Tretyakov, V., Yerypalov, S. and Oykher, A. (2020), "Assessment and improvement of competitiveness of industrial complex", Competitiveness Review, Vol. 30 No. 5, pp. 611-633. https://doi.org/10.1108/CR-01-2019-0011

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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