Методика комплексной диагностики рисков предприятий кластерной структуры

A positive synergistic effect is currently a key characteristic of a cluster formation. Therefore, studying the risks that prevent this effect is an urgent objective that would ensure the efficiency and practicability of creating enterprise clusters. Aim. The study aims to develop a comprehensive risk assessment methodology for cluster enterprises. Tasks. The authors analyze scientific publications on risk assessment; substantiate the practicability of using the results of activities of cluster enterprises in various areas as risk projections; develop a system of risk-oriented diagnostic indicators for a cluster enterprise; propose a general expert survey algorithm to study the risks of a cluster enterprise; propose a three-criteria spatial risk assessment model for a cluster enterprise; conduct an aggregate risk assessment for a cluster enterprise based on an expert survey. Methods. This study uses general scientific methods of cognition, comparative and statistical analysis, and expert assessment methods to present the results of risk assessment for a cluster enterprise. Results. According to the results of the scoring of cluster risks, it can be concluded that there is an ongoing negative trend of increasing threats caused by the examined risks. While in 2018-2020 these risks qualified as average, by 2020 they are classified as high, with the negative trends still in effect. In 2018, the aggregate risks in most groups were average (except for internal and natural risks, which were low). In 2022, only natural risks will be low, while internal, cluster, and domestic risks will shift towards high, with global risks becoming very high. Conclusions. A comprehensive risk assessment methodology for cluster enterprises is developed based on the functional-target approach, which views a cluster enterprise as a socio-economic system comprised of three basic subsystems: management, production, finance and economy.