Information support for organizations participating in industrial clusters: Evidence from the Siberian Federal District of the Russian Federation

Subject. This article focuses on information support, analysis and systematization of the websites content of organizations participating in industrial clusters of the Siberian Federal District of the Russian Federation. Objectives. The article aims to analyze the current features of information support for industrial clusters using websites. Methods. For the study, we used the methods of summary, grouping, generalization, comparison, and systems analysis. Results. The article reveals the digitalization level of companies in industrial clusters of the Siberian Federal District of Russia. It also identifies the need for technological development of the studied enterprises. Conclusions. The information support for industrial clusters needs to be further improved. The availability of cluster websites and their participants, balanced coverage of cluster activities, access to open data and educational information will improve the efficiency in the area.