Applying the aggregated indices randomization method to prioritize cluster development

Abstract

Subject. This article discusses the innovation activities of companies participating in clusters. Objectives. The article aims to justify a choice of State support facilities for the innovation activities of enterprises participating in clusters. Methods. For the study, we used the hierarchical aggregated indices randomization method and Monte Carlo method. Results. During the study of cluster construction in St. Petersburg, an array of data was obtained. Based on calculations, we show the choice of two enterprises, the best ones in terms of assessing the probability of dominance. We justify the possibility of using such a characteristic of randomized aggregated indices as the value of mathematical expectation, as a choice criterion. Conclusions. The algorithm developed to apply the aggregated indices randomization method develops an institutional approach to the analysis of regional clusters.