Theoretical and practical approach to the essential characteristics and structure of digital ecosystems of industrial enterprises
Theoretical and practical approach to the essential characteristics and structure of digital ecosystems of industrial enterprises

Summary/Abstract: Our scientific article is devoted to the study of the essential characteristics and structure of digital ecosystems of industrial enterprises based on the applied theoretical and practical approach. In particular, the author’s definitions of the concepts «digital platform» and «digital ecosystem of an industrial enterprise» were given, the distinctive features and advantages of using digital ecosystems, including within the framework of industrial production, were highlighted, the conceptual structure of the digital ecosystem of an industrial enterprise was developed and presented, the examples of practical implementation of digital ecosystems at industrial enterprises in Kazakhstan and neighbouring countries were considered. We also carried out a scientometric analysis of publications based on the using of materials from the Web of Knowledge database (Web of Science Core Collection) for 1992-2024 using the capabilities of the VOSviewer software product to build thematic frames in the context of three search queries: 1. ««digital ecosystem» and «industry»»; 2. ««digital platform» and «digital transformation»»; 3. ««Digital transformation» and «Industry 4.0»». The final sample within each of the search formulas was: 1859, 3259 and 689 publications, respectively. The article has developed a comprehensive and adaptive proprietary methodology for conducting scientometric analysis (created taking into account PRISMA recommendations, ensuring validation of the research procedure used in the research), including both the main stages of obtaining a data array and their subsequent analysis based on the specialized software product VOSviewer with the construction of the final frame clusters according to the following criteria: Co-Authorship Analysis, Co-Occurrence Analysis.

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