Methodological issues to modeling innovative ecosystems of industrial corporations based on clustering

taking into account modern economic realities, large industrial corporations built on the basis of business entities, clusters and holdings, which in essence represent large production structures, large innovative complexes that carry out socially significant projects for the state and implement innovative programs for the development of the real sector of the economy, are of particular importance in the Russian economy. The introduction of the study provides an overview of theoretical works by well-known scientists on the object of study (industrial corporation), reveals the essence and features of innovative activities of corporations, reflecting their functional purpose – the creation of innovative products in large volumes. The organizational structure of the innovative ecosystem of industrial corporations is disclosed, the transition of traditional business models to ecosystem models is substantiated. In the study, the author presents an innovative model of the ecosystem of industrial corporations based on clustering. The difference between the organizational structure of the ecosystem and the structure of cluster construction is revealed, expressed in its self-organization and self-development. The development of economic efficiency, a platform ecosystem of innovative activities of an industrial corporation based on the creation of network links of participants is substantiated. In the context of modern realities, methodological issues for modeling innovative ecosystems of corporations offer additional opportunities and conditions for the implementation of traditional businesses implemented in the processes of digital transformation using platform tools representing the creation of self-organizing structures operating on the principles of mutually beneficial cooperation. The analysis of the proposed model reflects its functionality, as well as the level of use of digitalization technologies. The paper reveals that the trends of digital platform ecosystems are mainly represented by the non-production sphere: Yandex, VTB, Sber, MTS, Mail.ru Group, Uber, Google, Uber, etc., which, in conditions of instability for the economic processes of development of domestic innovations, causes the need to form these ecosystems in industry. For these purposes, industrial corporations that use digital tools aimed at meeting the growing needs of the market are most suitable for building platform ecosystems. The methodological questions for modeling innovative ecosystems of corporations proposed by the author reflect the processes of replacing the real object of innovation of the corporation with another, in order to identify information about its most important properties obtained in the study of the model object. The subject of the study are the characteristics of the corporation that are essential for modeling, including the formation of a model, the implementation of an experiment, obtaining and processing the results of modeling. An industrial corporation is a complex system, the main property of which is its multifunctionality, reflected in the life cycle of the system, explained by the manufacturability of the proposed model, implemented on the basis of the use of elements of intellectual property. Taken together, these characteristics confirm the validity of the ecosystem approach in the design and management of innovation activities of industrial corporations in the context of the digital transformation of the economy.

innovation ecosystem, industrial corporation, methodological issues of modeling, digital transformation, platform economy, self-regulation, self-organization, management, business processes, innovation