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The Mechanism for Forming a Sustainable Development Strategy for Small and Medium-Sized Enterprises in a Cluster Structure
Kaganovskyi O. S.

Kaganovskyi, Oleksandr S. (2025) “The Mechanism for Forming a Sustainable Development Strategy for Small and Medium-Sized Enterprises in a Cluster Structure.” Business Inform 8:526–536.
https://doi.org/10.32983/2222-4459-2025-8-526-536

Section: Management and Marketing

UDC 330.658.1

Abstract:
The article presents a scheme for the mechanism of developing a sustainable development strategy for small and medium-sized enterprises (SMEs) within a cluster structure (CS), represented as a set of interconnected blocks of external and internal cluster management. The objective of the external cluster management loop for SMEs is to create instrumental tools to support decision-making regarding participation in the CS. The internal cluster management loop is aimed at diagnosing the condition of SMEs and selecting strategies for their sustainable operation and development within the cluster structure. The tasks of the first block of the mechanism were implemented using data from 26 industrial parks in Ukraine. A system of diagnostic variables for assessing the attractiveness of the CS as an environment for SME operations was developed. An assessment of the informativeness of the previous indicator system was carried out using the principal component method. The results showed that the dominant informational load is characteristic of key factors such as investment incentives for the development of CS in administrative centers of investment-attractive regions with high accessibility to major transport hubs; the design capacity of CS, land plot area, engineering infrastructure, and services provided to park participants (purchase/lease of land plots, custom development, purchase/lease of premises); indicators of the current level of utilization and business activity of CS (premises area, number of resident companies, etc.). Integrated assessments of the attractiveness of CS were developed using data mining and dimensionality reduction methods, such as the principal component method and the development level method. Rank correlation coefficients were used to evaluate the consistency of the ranking results obtained by different methods. The obtained results indicate a high degree of consistency. Analysis of the distribution characteristics of the integral indicator enabled the identification of attractive industrial parks (IPs) with the highest ratings and the assessment of IP concentration in areas with very high, high, medium, low, and very low levels of attractiveness. The results are considered a decision-support tool for IP stakeholders and, in particular, for SME management when deciding on participation in cluster systems.

Keywords: cluster structures, enterprises, small and medium-sized businesses, sustainable development strategy, industrial parks, mechanism, attractiveness assessment, intelligent data analysis methods.

Fig.: 6. Tabl.: 1. Bibl.: 26.

Kaganovskyi Oleksandr S. – PhD, Postgraduate Student, Department of Management and Business, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]

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