Научная статья на тему 'ELABORATION OF THE BALANCED SCORECARD FOR THE ASSESSMENT OF REGIONAL CLUSTER SYSTEM DEVELOPMENT'

ELABORATION OF THE BALANCED SCORECARD FOR THE ASSESSMENT OF REGIONAL CLUSTER SYSTEM DEVELOPMENT Текст научной статьи по специальности «Экономика и бизнес»

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regional cluster system / cluster-forming enterprises / efficiency / economic potential / balanced scorecard / unified system of criteria.

Аннотация научной статьи по экономике и бизнесу, автор научной работы — Utkin A.

The article elaborates identification criteria for key efficiency indicators of regional cluster system through balanced scorecard

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Текст научной работы на тему «ELABORATION OF THE BALANCED SCORECARD FOR THE ASSESSMENT OF REGIONAL CLUSTER SYSTEM DEVELOPMENT»

ELABORATION OF THE BALANCED SCORECARD FOR THE ASSESSMENT OF REGIONAL

CLUSTER SYSTEM DEVELOPMENT

Utkin A.

Master Student of the Institute of Social and Economic Sciences, Finance, Accounting and Banking Department, Ivanovo State University, Ivanovo, Russia

Abstract

The article elaborates identification criteria for key efficiency indicators of regional cluster system through balanced scorecard.

Keywords: regional cluster system, cluster-forming enterprises, efficiency, economic potential, balanced scorecard, unified system of criteria.

In 2010-2018, the inability to reorganize the industry of Ivanovo region by ensuring a balanced budget process deter-mined the negative effect of digitalization processes, which is expressed in the economic transformation of the regional innovation and industrial cluster into a digital cluster (a set of "misaligned" and "over-reactive" business objects focused on information and technological "abrupt" changes). The resulting uneven innovative development of industry sectors and the revenue potential of the budget led to a decrease in the innovation and economic efficiency of cluster-forming enterprises in the region. At the same time, uneven innovation activity not only exacerbated the problem of the lack of multi-level regional production, but also determined the inefficiency of realizing the economic potential of existing cluster-forming enterprises.

The problem of the research is to select identification criteria for key indicators of innovation and economic efficiency of regional cluster system through balanced scorecard. The concept of the balanced score-card provides a comprehensive coverage of the fields of regional cluster activity and assesses the strategic directions of economic potential development.

The purpose of the work is to develop the integrated model of balanced scorecard for the assessment of regional cluster sys-tem development in the Ivanovo region, followed by the efficiency management of cluster-forming enterprises in the conditions of digitaliza-tion.

According to the expert opinion of the Public chamber of Ivanovo region, we assessed the compatibility of existing Russian and foreign identification cri-

teria for key efficiency indicators and strategic projections of cluster-forming enterprises (using the concepts of Y. M. Maximov [3], N. V. Pakhomova [4], E. S. Kutsenko [2], A. L. Kudrin [1], Ke Gao [6], P. McCann [5]). In the course of the research, the weight of each criterion was evaluated on a ten-point scale (the highest weight corresponds to "1") to select the final list of weighty identification criteria for key indicators within balanced scorecard. The calculation of the concordance coefficient (W) showed an acceptable degree of consistency of expert estimates (W = 0.71). The significance of each criterion, calculated using the Fishburn coefficient, became the basis for selecting the criteria that are most correlated with the balanced scorecard projections.

Table 1 presents the results of an expert assessment of the weight of identification criteria for key indicators of innovation and economic efficiency concerning strategic activities of cluster-forming enterprises.

Received quantity of significant criteria (with high correlation) is not sufficient to identify indicators of balanced scorecard projections to measure the regional cluster system development. In modern realities, it is necessary to compare the resource pro-vision of the organizations' mission in relation to the reserves of budget revenue growth with a comprehensive account of the influencing factors. In this regard, the criteria list is supplemented with two main author's criteria that take into account the internal relationships between production and innovation activity of cluster-forming enterprises and the processes of the consolidated budget stabilization in Ivanovo region (table 2).

Table 1

Assessment of the compatibility of identification criteria for key efficiency indicators and strategic projections of __regional cluster system in Ivanovo region___

Criteria for identifying key performance indicators Value Strategic projections (score in points) Amount The level of correlation

Financial stability The balance of internal processes Consumer satisfaction Innovative technological development

1 2 3 4 5 6 7 8

Stability of the multiplier effect while maximizing financial resources 0,15 1 4 5 5 15 Middle

Impact on the range of products produced in the industry 0,21 1 7 1 10 19 High

Impact on the performance of individual industry segments 0,21 1 2 1 1 5 High

Cyclical changes in the innovation and investment attractiveness of the market 0,31 2 1 6 1 10 High

Synergistic integration of assets 0,19 1 1 9 3 14 Middle

Monopolistic regulation of public infrastructure in consumer demand 0,29 1 1 1 4 7 High

Focus on getting "super profits" and creating competitive advantages 0,27 1 1 10 1 13 High

Implementation of state-funded technological innovations in the industry 0,24 1 2 9 1 13 High

Focus on the positive effect of the state's dividend policy 0,09 9 8 10 10 37 Low

Impact on the overall performance of industries and markets 0,26 1 1 1 1 4 High

Table 2

System of identification criteria for key indicators of innovation and economic efficiency of regional cluster sys_tem within strategic projections of the balanced scorecard (author's version)_

Strategic projection of the balanced scorecard Identification criteria key indicators of innovation and economic efficiency

1 2

Financial stability Cyclical changes in the innovation and investment attractiveness of the market

Focus on getting "super profits" and creating competitive advantages

Impact on the overall performance of industries and markets

Balance of internal processes Implementation of state-funded technological innovations in the industry

Impact on the performance of individual industry segments

Impact on the range of products produced in the industry

Consumer satisfaction Monopolistic regulation of public infrastructure in consumer demand management

Impact on the range of products produced in the industry

Internal balance between production and innovation efficiency of enterprises and socio-economic stability of the region's economy

Innovative technological and educational development Implementation of state-funded technological innovations in the industry

Orientation on innovative activity of economic systems of enterprises with disclosure of conditions of competitive advantages

Internal balance between production and innovation efficiency of enterprises and socio-economic stability of the region's economy

As a result of the research, the integrated model of balanced scorecard for the assessment of regional cluster system development in the Ivanovo region in the conditions of digitalization was developed (table 3).

Table 3

Integrated model of balanced scorecard for the assessment of regional cluster system development

The mission is the sustainability of production and innovation activity and development effectiveness

Strategic improvement directions for innovation and economic efficiency of production activities

1 2 3

The nomination in the priority of domestic innovation and technological sources of attracting additional financial resources The reorganization of a multi-level digital monitoring system for the implementation of investment strategies in other regions The creation of digital platforms for tax regulation

Key efficiency indicators of the balanced scorecard

Quality indicator (financial stability): level of financial flows optimization

Quality indicator (balance of internal processes): performance level of production costs Quality indicator (consumer satisfaction): level of customer coordination Quality indicator (innovative technological and educational development): level of competitiveness and innovation and digital activity

Overcoming the problems of reducing the volume of lending to enterprises and the inability to mobilize internal reserves to the budget -through the improvement of innovative anti-crisis policy Overcoming the problems of lack of investment of fixed capital - through the technological integration of scientific and educational institutions and enterprises in the region Overcoming the problems of increasing debt obligations and reducing the tax base - through the diversification of production concerning knowledge-intensive short-term financing mechanisms

Thus, the development of identification criteria made it possible to comprehensively assess the prospects of the innovation and economic improvement of regional cluster system development in Ivanovo region and to propose strategic directions and the mission of efficiency management (sustainable development) as an integrated model of balanced scorecard. The practical significance of the balanced scorecard is the feasibility of its application in the implementation of regional programs to recreate a multi-level digital textile and clothing complex in the region.

References

1. Kudrin A. L., Gurvich E. T. A New Growth Model for the Russian Economy // Voprosy Ekonomiki. 2014. N 12. P. 4-36. https://doi.org/10.32609/0042-8736-2014-12-4-36

2. Kutsenko E. S., Tyumentseva D. S. Clusters and Innovations in the Subjects of RF: The Results of Empirical Study // Voprosy Ekonomiki. 2011. N 9. P.

93-107. https://doi.org/10.32609/0042-8736-2011-9-93-107

3. Maksimov Y. M., Mityakov S. N., Mityakova O. I., Bondin D. V., Blyakhman A.A. Balanced System of Indicators of Innovation Development of the Region // Innovations. 2008. N 11 (121). P. 95-98.

4. Pakhomova N. V., Tkachenko D. S. Innovations Supporting Institutions in Russia: the Logic of Development and the Current Status // St Petersburg University Journal of Economic Studies. 2014. Vol. 30. Iss. 2. P. 87-105.

5. McCann P., Ortega-Argiles R. Modern regional innovation policy // Cambridge Journal of Regions, Economy and Society. 2013. Vol. 6. Iss. 2. P. 187-216. https://doi.org/10.1093/cjres/rst007

6. Yafeng Hu, Ke Gao. The impact of Fiscal Policies on R&D at the Firm Level // Journal of Finance and Accounting. 2019. Vol. 7. N 1. P. 17-21. doi: 10.11648/j.jfa.20190701.13

ВЛИЯНИЕ ИНДИВИДУАЛЬНО-ЛИЧНОСТНЫХ ФАКТОРОВ НА ПРОЦЕСС ПРОФЕССИОНАЛЬНОЙ АДАПТАЦИИ ГОСУДАРСТВЕННЫХ ГРАЖДАНСКИХ СЛУЖАЩИХ

Емельянова О.Я.

кандидат педагогических наук, доцент Воронежский государственный педагогический университет, Россия,

Шершень И.В. кандидат экономических наук, доцент Российская академия народного хозяйства и государственной службы

при Президенте РФ, г. Воронеж, Россия,

Кравец М.А. доктор экономических наук, доцент Воронежский государственный университет, Россия

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