Digital Potential of a Systemically Important Innovation-Active Industrial Cluster: Concept, Essence, Assessment
https://doi.org/10.35854/1998-1627-2020-12-1324-1334
Abstract
Aim. The presented study aims to substantiate the concept and essence of the digital potential of a cluster in the context of a systemically important innovation-active industrial cluster, also outlining its structure, assessment stages and methods.
Tasks. The authors analyze how the definitions of “cluster” and “industrial cluster” are used in science and formulate the concept and essence of a systemically important innovation-active industrial cluster; substantiate the concept of the “digital potential of a cluster” and propose its structure in the context of a systemically important innovation-active industrial cluster; identify stages in the assessment of the digital potential of a systemically important innovation-active industrial cluster, which can be universal and applied to different types of clusters; propose methods and develop a methodology for assessing the digital potential of a systemically important innovation-active industrial cluster.
Methods. The study uses the methods of analysis, synthesis, mathematical statistics, expert methods, analysis of primary and secondary data, works of Russian and foreign authors.
Results. The process of using the definitions of “cluster” and “industrial cluster” in science is analyzed, the concept of a systemically important innovation-active industrial cluster is formulated, and its essence is determined. The stages and methods of assessing the digital potential of a systemically important innovation-active industrial cluster are developed, which are universal and can be used for different types of clusters, including regional, innovative, and industrial clusters.
Conclusions. The study develops the stages, methods, and methodology for assessing the digital potential of a systemically important innovation-active industrial cluster in the digital economy, which can facilitate the improvement of the scientific and methodological apparatus of cluster development.
Keywords
digitalization,
digital economy,
digital potential,
industrial cluster,
systemically important innovation-active cluster,
assessment methodology
Supporting agencies: This study was funded by the Russian Foundation for Basic Research (RFBR) as part of research under project No. 18-010-01119.
About the Authors
A. V. Babkin
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Russian Federation
Aleksandr V. Babkin – D.Sci., Ph.D. in Economics, Professor, Deputy Head of the Department of Scientific Policy, Head of the Research Laboratory "Digital Industrial Economics", Professor of the Higher School of Engineering and Economics
29, Politekhnicheskaya Str., St. Petersburg, 195251
L. V. Tashenova
Academician E.A. Buketov Karaganda University; Peter the Great St. Petersburg Polytechnic University
Kazakhstan
Kazakhstan
Larisa V. Tashenova – Senior Lecturer; Postgraduate Student of the Higher School of Engineering and Economics
28, Universitetskaya Str., Karaganda, 100028
29, Politekhnicheskaya Str., St. Petersburg, 195251
E. V. Eliseev
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Russian Federation
Evgeniy V. Eliseev – Candidate of a Scientific Degree of Candidate of Economic Sciences (Ph.D. in Economics)
29, Politekhnicheskaya Str., St. Petersburg, 195251
References
1. Zhdanova O. Cluster as a modern form of industrial enterprise management. Vestnik Instituta ekonomiki Rossiiskoi akademii nauk = Bulletin of the Institute of Economics of the Russian Academy of Sciences. 2008;(4):264-271. (In Russ.).
2. Volchikhin V.I., Pashchenko V.G., Yurkov N.K. Industrial clusters and innovations (Analytical review). Trudy Mezhdunarodnogo simpoziuma “Nadezhnost’ i kachestvo” = International Symposium “Reliability & Quality”. 2006;2:3-5. (In Russ.).
3. Association of Clusters and Technoparks of Russia. URL: https://akitrf.ru/clusters/about/ (accessed on 30.11.2020). (In Russ.).
4. Marshall A. Principles of economics. 8 th ed. London: Macmillan and Co.; 1920. 627 p. (Russ. ed.: Marshall A. Printsipy ekonomicheskoy nauki. Vol. 3. Moscow: Progress; 1993. 351 p.).
5. Porter M.E. The Competitive Advantage of Nations. Harvard Business Review. 1990;68(2):73-91.
6. Merzlikina G.S., Kuzmina E.V. Balanced system of indicators for assessing cluster performance. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018;11(5):119-128. (In Russ.). DOI: 10.18721/JE.11511
7. Babkin A.V., ed. Formation of a new economy and cluster initiatives: Theory and practice. St. Petersburg: Peter the Great St. Petersburg Polytechnic University; 2016. 516 p. (In Russ.).
8. Kleiner G.B., Tambovtsev V.L., Kachalov R.M. An enterprise in an unstable economic environment: Risks, strategies, security. Moscow: Ekonomika; 1997. 286 p. (In Russ.).
9. Berezovskii D.S. Industrial clusters: Definition, essence and features of formation. Vestnik MGUP imeni Ivana Fedorova = Vestnik MGUP. 2012;(2):20-32. (In Russ.).
10. Bulyarskaya S.A., Sinitsyn A.O. Industrial economic cluster management. Vestnik Dagestanskogo gosudarstvennogo universiteta. Seriya 3: Obshchestvennye nauki = Herald of Dagestan State University. Series 3. Social Sciences. 2011;(5):36-40. (In Russ.).
11. Rasskazova A.N. Cluster as a modern form of industrial enterprise management. Aktual’nye voprosy ekonomicheskikh nauk. 2010;(15-2):204-209. (In Russ.).
12. Babkin A.V., Utkina S.A. Role of innovative industrial clusters in resolving problems related to the modernization of the Russian economy. Ekonomika i upravlenie = Economics and Management. 2012;(10):58-61. (In Russ.).
13. Babkin A.V., ed. Cluster economics and industrial policy: Theory and tools. St. Petersburg: Peter the Great St. Petersburg Polytechnic University; 2015. 588 p. (In Russ.).
14. Titov V.V., Bezmelnitsyn D.A. Industrial cluster as the basis of a platform for optimizing strategic management of high-tech business development. Nauchno-tekhnicheskie vedomosti SanktPeterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018;11(4):230-241. (In Russ.). DOI: 10.18721/JE.11418
15. Babkin A.V., Novikov A.O. Cluster as a subject of the economy: Essence, current state, development. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2016;(1):9-29. (In Russ.). DOI: 10.5862/JE.235.1
16. Dalinchuk N.S. Industrial clustering theory. Cand econ. sci. diss. Kursk: Southwestern State University; 2010. 202 p. (In Russ.).
17. Afonina V.E. Methodological aspects of the analysis of the concept of “digital economy”. Finansovaya ekonomika = Financial Economy. 2018;(7):2275-2278. (In Russ.).
18. Baranov D.N. The essence and content of the category “digital economy”. Vestnik Moskovskogo universiteta im. S.Yu. Vitte. Seriya 1: Ekonomika i upravlenie = Moscow Witte University Bulletin. Series 1: Economics and Management. 2018;(2):15-23. (In Russ.). DOI: 10.21777/2587-554X-2018-2-15-23
19. 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.).
20. Bharadwaj A.S., El Sawy O.A., Pavlou P.A., Venkatraman N.V. Digital business strategy: Toward a next generation of insights. MIS Quarterly. 2013;37(2):471-482. DOI: 10.25300/MISQ/2013/37:2.3
21. Chacko L. As we enter the era of the ecosystem economy, are we prepared for the risks? BRINK. June 11, 2019. URL: https://www.brinknews.com/as-we-enter-the-era-of-the-ecosystem-economyare-we-prepared-for-the-risks/ (accessed on 30.11.2020).
22. Chanias S., Myers M.D., Hess T. Digital transformation strategy making in pre-digital organizations: The case of a financial services provider. Journal of Strategic Information Systems. 2019;28(1):17-33. DOI: 10.1016/j.jsis.2018.11.003
23. Pickard S. Accelerating adoption of digital transformation for federal customers with AppDynamics FedRAMP. AppDynamics. July 12, 2019. URL: https://www.appdynamics.com/blog/news/fedrampenvironment-saas/ (accessed on 27.08.2020).
24. Van Dijk A., van Grieken H. Digital era technology operating models. Vol. 1: Digital technologies, digital disruption and digital strategy. Amsterdam: Deloitte The Netherlands; 2017. 67 p. URL: https://www2.deloitte.com/content/dam/Deloitte/nl/Documents/technology/deloitte-nl-digitalera-tom-v1.pdf (accessed on 27.08.2020).
25. Antokhina Yu.A., Kolesnikov A.M., Voroshin E.A. Features of the economic development of innovatively active industrial enterprises. Ekonomika i upravlenie = Economics and Management. 2019;(2):69-77. (In Russ.).
26. Hrustek L., Furjan M.T., Pihir I. Influence of digital transformation drivers on business model creation. In: 42 nd Int. convent. on information and communication technology, electronics and microelectronics (MIPRO) (Opatija, July 11, 2019). New York: IEEE; 2019:1509-1513. DOI: 10.23919/MIPRO.2019.8756666
27. Nikulina O.V. Clustering the economy as the most effective form of organizing innovation. In: Problems and prospects for the development of an innovative and creative economy. Proc. 3 rd Int. sci.-pract. online conf. Moscow: Kreativnaya ekonomika; 2011:57-62. (In Russ.).
28. Elokhova I.V., Dubrovskaya Yu.V. Research of cluster-network structures in the innovative development of the regional economy (on the example of the Perm Krai). In: Formation of a new economy and cluster initiatives: Theory and practice. St. Petersburg: Peter the Great St. Petersburg Polytechnic University; 2016:392-410. (In Russ.). DOI: 10.18720/IEP/2016.2/17
29. 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.).
30. Popov E.V., Semyachkov K.A. An assessment of readiness of the branches of Russian Federation for formation of digital economy. Innovatsii = Innovations. 2017;(4):37-41. (In Russ.).
31. Kovalchuk Yu.A., Alekseev I.V. The digital potential of regional markets as a new strategic factor in the development of franchise businesses. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta. Seriya: Ekonomika i menedzhment = Bulletin of South Ural State University. Series “Economics and Management”. 2017;11(2):149-158. (In Russ.). DOI: 10.14529/em170222
32. Bughin J., Hazan E., Labaye E., Manyika J., Dahlström P., Ramaswamy S., Cochin de Billy C. Digital Europe: Realizing the continent’s potential. McKinsey Digital. June 29, 2016. URL: https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/digital-europe-realizing-the-continents-potential (accessed on 27.08.2020).
33. Kozlov A.V., Teslya A.B. The digital potential of industrial enterprises: Essence, definition and calculation methods. Vestnik Zabaikal’skogo gosudarstvennogo universiteta = Transbaikal State University Journal. 2019;25(6):101-110. (In Russ.). DOI: 10.21209/2227-9245-2019-25-6-101-110
34. Beshelev S.D., Gurvich F.G. Mathematical and statistical methods of expert assessments. Moscow: Statistika; 1974. 159 p. (In Russ.).
35. Babkin A.V., Tashenova L.V. Stages of assessing the digital potential of an innovative-active industrial cluster of the Arctic zone of Russia. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2020;13(5):65-81. (In Russ.). DOI: 10.18721/JE.13505
Review
For citations:
Babkin A.V., Tashenova L.V., Eliseev E.V. Digital Potential of a Systemically Important Innovation-Active Industrial Cluster: Concept, Essence, Assessment. Economics and Management. 2020;26(12):1324-1334. (In Russ.) https://doi.org/10.35854/1998-1627-2020-12-1324-1334
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