A Methodology for Assessing the Intellectual Capital of an Innovative-Active Industrial Cluster in the Context of the Digital Economy

The authors analyzed a significant number of methods and techniques for assessing intellectual capital, yet could not identify publications describing a methodology for assessing the intellectual capital of clusters. The authors believe that this an omission considering the high importance of clusters in the development of national innovative and economic potential in the context of the digital economy. These facts substantiate the relevance of the study's topic.

Aim. The presented study aims to propose a methodology for assessing the intellectual capital of an innovative-active industrial cluster in the context of the digital economy.

Tasks. The authors define and describe the structure of an innovative-active industrial cluster and its intellectual capital; formulate the goals of assessing the intellectual capital of an innovative-active industrial cluster; provide a brief description of the existing methods of intellectual capital assessment and substantiate the selection of assessment methods; identify stages in the assessment of the intellectual capital of an innovative-active industrial cluster.

Methods. This study uses a combination of general scientific methods of cognition: observation, generalization, abstraction, and the graphical approach. These methods are used to consistently solve the tasks of the study.

Results. A method for assessing the intellectual capital of an innovative-active industrial cluster is proposed. It consists of three stages: preparatory, main, and final. As part of the proposed methodology, the goals of assessment are formulated, assessment methods are examined, substantiated, and selected, and stages and measures for the implementation of the proposed methodology are developed.

Conclusions. The presented study formulates a methodology for assessing the intellectual capital of an innovative-active industrial cluster in the context of the digital economy, which can be used to facilitate the development of the potential of innovative-active industrial clusters.

1. Schwab K. The fourth industrial revolution. New York: Crown Business; 2016. 198 p. (Russ. ed.: Schwab K. Chetvertaya promyshlennaya revolyutsiya. Moscow: Eksmo; 2016. 230 p.).

2. Kostin G.A., Uporova I.V. Transformation of entrepreneurship under the influence of the digital economy. Ekonomika i upravlenie = Economics and Management. 2018;(12):51-60. (In Russ.).

3. Geliskhanov I.Z., Yudina T.N., Babkin A.V. Digital platforms in the economy: Essence, models, development trends. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018;11(6):22-36. (In Russ.). DOI: 10.18721/JE.11602

4. Babkin A.V., Burkal'tseva D.D., Kosten' D.G. et al. Formation of the digital economy in Russia: essence, features, technical normalization, development problems. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nau-ki = St. Petersburg State Polytechnical University Journal. Economics. 2017;10(3):9-25. (In Russ.). DOI: 10.18721/JE.10301

5. Alekseeva N.S. Analysis of the current state of cluster associations in Russia. In: 6th Sci.-pract. conf. with int. particip. “Digital economy and industry 4.0: Foresight Russia”. St. Petersburg: Politekh-Press; 2020:16-21. (In Russ.). DOI: 10.18720/IEP/2020.2/1

6. Tashenova L.V., Babkin A.V. Typology and structure of industrial clusters. Menedzhment v Rossii i za rubezhom = Management in Russia and Abroad. 2019;(1):4-14. (In Russ.).

7. Porter M.E. Competitive strategy: Techniques for analyzing industries and competitors. New York: Free Press; 1998. 397 p. (Russ. ed.: Porter M. Konkurentnaya strategiya: metodika analiza otra-sley i konkurentov. Moscow: Alpina Publisher; 2016. 600 p.).

8. Lychagin M.V. The boom of digitalization in the world economic literature. In: Babkin A.V., ed. Digital Economy and Industry 4.0: Trends in 2025. St. Petersburg: Politekh-Press; 2019:52-62. (In Russ.).

9. Shiro M.S. Features of the functioning of the innovation cluster in the context of the digitalization of the economy. In: Babkin A.V., ed. Innovative clusters of the digital economy: theory and practice. St. Petersburg: Peter the Great St. Petersburg Polytechnic University; 2018:254-256. (In Russ.). DOI 10.18720/IEP/2018.4/11

10. Merzlikina G.S., Kuz'mina E.V. Improving the cluster management mechanism in the context of digitalization. In: Development of economy and management in the context of digitalization. Proc. sci.-pract. conf. with int. particip. St. Petersburg: Peter the Great St. Petersburg Polytechnic University; 2018:252-256. (In Russ.). DOI: 10.18720/IEP/2018.7/21

11. Shiro M.S., Buyanova M.E. Features of the creation of an information and analytical center of the cluster in the context of digitalization of the economy. In: Babkin A.V., ed. Methodology for the development of the economy, industry and services in the context of digitalization. St. Petersburg: Peter the Great St. Petersburg Polytechnic University; 2018:655-675. (In Russ.). DOI: 10.18720/IEP/2018.6/26

12. Burkal'tseva D.D., Epifanova O.N., Zherebov E.D. Institutional provision of financial and economic security in the context of digitalization. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018;11(3):21-31. (In Russ.). DOI: 10.18721/JE.11302

13. Zaruchnikova N.O., Glukhov V.V. Intellectual capital management system for research and production organizations and clusters in the context of digital transformation of the economy. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2019;12(6):60-74. (In Russ.). DOI: 10.18721/JE.12605

14. Kurnosova E.A., Kovel'skii V.V. Development of the institutional infrastructure of the digital economy: Innovative clusters on the platform of intellectual capital. Rossiiskii ekonomicheskii internet-zhurnal = Russian Economic Online Journal. 2019;(4):86. (In Russ.).

15. Stewart T. Your company's most valuable asset: Intellectual capital. Fortune. 1994;130(7):68-74.

16. Babkin A.V., Baikov E.A. Collaboration of industrial and creative clusters in the economy: Essence, forms, features. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018;11(4):141-164. (In Russ.). DOI: 10.18721/JE.11411

17. Sveiby K.-E. Methods for measuring intangible assets. URL: https://www.sveiby.com/files/pdf/intangiblemethods.pdf (accessed on 04.07.2020).

18. Novgorodov P.A. Assessment of the value of the intellectual capital of the university: Methodological aspect. Izvestiya Ural'skogo gosudarstvennogo ekonomicheskogo universiteta = Journal of the Ural State University of Economics. 2019;20(1):78-94. (In Russ.). DOI: 10.29141/2073-1019-201920-1-6

19. Macerinskiene I., Aleknaviciute R. National intellectual capital influence on economic growth in the European Union countries. Equilibrium. 2017;12(4):573-592. DOI: 10.24136/eq.v12i4.30

20. Alekseeva N.S. Assessment of the applicability of the method of return on assets to assess the intellectual capital of an innovatively active industrial cluster. In: Clustering the digital economy: Global challenges. Proc. nat. sci.-pract. conf. with int. particip. (in 2 vols.). St. Petersburg: Politekh-Press; 2020:209-214. (In Russ.).