• Z. Rakhmetulina Eurasian National University named after L. N. Gumilyov
  • O. Pokataieva Classic Private University
  • O. Trokhymets Classic Private University
  • I. Hnatenko Kyiv National University of Technologies and Design
  • V. Rubezhanska Luhansk Taras Shevchenko National University




innovation cluster, competitiveness, economic-mathematical modeling, simulation model, decomposition


In the development of innovative economy it is important to create new cluster forms and models of joint activities that would take full account of the goals and potential of participants and features of territorial localization of economic entities interaction of one or related sectors. In this regard, the relevant areas of research are the development of tools for effective interaction of participants in innovation clusters in order to increase their competitiveness and ensure the stable development of the cluster as a whole. The aim of the article is to model the rational structure of the innovation cluster to increase the competitiveness of its members.The direct use of numerous models and methods of analysis and optimization of real cluster structures is quite difficult due to the complexity and large size of such tasks, but it is possible to build a simulation model to describe the associated activities of innovation cluster members, which should contain all available information about the simulated process, and to use the decomposition approach for its research.In the article it was calculated the simulation model, using economic-mathematical modeling, which is oriented towards choosing the optimal structure of the cluster association, the rational composition of its members, and the goals of their associated activities within the cluster. To determine the directions of the construction of the model, some properties were chosen from the whole spectrum of specific properties of the innovation cluster which define its economic content as a specific modeling structure. The simulation model of the optimal structure of the innovation cluster is calculated in the article with the help of economic-mathematical modeling. The proposed simulation model can be used to quantify the feasibility of creating a territorial production association of the cluster type, taking into account the specifics of the territory (region) of the cluster, the sectoral affiliation of its potential participants, the degree of institutional environment for such associated interaction for specific participants and a specific territorially localized economic system.

Author Biographies

Z. Rakhmetulina, Eurasian National University named after L. N. Gumilyov

Ph. D. in Economics, Professor

O. Pokataieva, Classic Private University

Doctor of Economics, Doctor of Law, Professor

O. Trokhymets, Classic Private University

Doctor of Economics, Professor

I. Hnatenko, Kyiv National University of Technologies and Design

Ph. D. in Economics, Associate Professor

V. Rubezhanska, Luhansk Taras Shevchenko National University

Ph. D. in Economics


Kuksa, I., Hnatenko, I., Orlova-Kurilova, O., Moisieieva, N., & Rubezhanska, V. (2019). State regulation of innovative employment in the context of innovative entrepreneurship development. Management Theory and Studies for Rural Business and Infrastructure Development, 37 (2), 228—236. https://doi.org/10.15544/mts.2019.19.

Martin, S., & Mayer, H. (2008). Sustainability, Clusters, and Competitiveness: Introduction to Focus Section. Economic Development Quarterly, 22 (4), 272—276.

Delgado, M., Porter, M., & Stern, S. (2010). Clusters and entrepreneurship. Journal of Economic Geography, 10 (4), 495—518. https://doi.org/10.1093/jeg/lbq010.

Hervas-Oliver, J., & Albors-Garrigos, J. (2009). The role of the firm’s internal and relational capabilities in clusters: when distance and embeddedness are not enough to explain innovation. Journal of Economic Geography, 9 (2), 263—283. doi: https://doi.org/10.1093/jeg/lbn033.

Hill, E. W., & Brennan, J. F. (2000). A Methodology for Identifying the Drivers of Industrial Clusters: The Foundation of Regional Competitive Advantage. Economic Development Quarterly, 14 (1), 65—96.

doi: https://doi.org/10.1177/089124240001400109.

Montana, J. P., & Nenide, B. (2008). The Evolution of Regional Industry Clusters and Their Implications for Sustainable Economic Development: Two Case Illustrations. Economic Development Quarterly, 22 (4), 290—302. https://doi.org/10.1177/0891242408324084.

Wolf, T., Cantner, U., & Graf, H. (2019). Cluster ambidexterity towards exploration and exploitation: strategies and cluster management. The Journal of Technology Transfer, 44, 1840—1866. https://doi.org/10.1007/s10961-017-9617-5.

Albors, J. G. (2002). Networking and Technology Transfer in the Spanish Ceramic Tiles Cluster: Its Role in the Sector Competitiveness. The Journal of Technology Transfer, 27, 263—273. https://doi.org/10.1023/A:1015600521407.

Shridharan, L., & Manimala, M. J. (1999). Promoting Industrial Clusters: Review of Experiences in Europe, East Asia and India. The Journal of Entrepreneurship, 8 (2), 165—193. https://doi.org/10.1177/097135579900800203.

Feser, E., Renski, H., & Goldstein, H. (2008). Clusters and Economic Development Outcomes An Analysis of the Link Between Clustering and Industry Growth. Economic Development Quarterly, 22 (4), 324—344. https://doi.org/10.1177/0891242408325419.

Hnatenko, I., Kuksa, I., Naumenko, I., Baldyk, D., & Rubezhanska, V. (2020). Infrastructure of innovation enterprise: features of formation and regulation in modern market conditions. Management Theory and Studies for Rural Business and Infrastructure Development, 42 (1), 97—104. https://doi.org/10.15544/mts.2020.10.

Kuksa, I., Shtuler, I., Orlova-Kurilova, O., Hnatenko, I., & Rubezhanska, V. (2019). Innovation cluster as a mechanism for ensuring the enterprises interaction in the innovation sphere. Management Theory and Studies for Rural Business and Infrastructure Development, 41 (4), 487—500. https://doi.org/10.15544/mts.2019.39.

Hnatenko, I. A., & Rubezhanska, V. O. (2017). Lohika vprovadzhennia innovatsiinykh zakhodiv na rehionalnyi rynok pratsi v umovakh yoho tsyklichnoho rozvytku [The logic of introducing innovative measures into the regional labor market in terms of its cyclical development]. Biznes Inform — Business Inform, 8, 110—115 [in Ukrainian].

Zos-Kior, М., Kuksa, I., Samoilyk, I., & Storoška, M. (2017). Methodology for assessing the countries’ globalization development. Economic Annals-XXI, 11—12, 4—8.






The models and process technology of the financial information