Within the framework of traditional economic approaches that incline the researcher's attention to the ordering of systems, it is difficult to track and adequately assess the turbulent changes in the environment in the conditions of transformation of almost all spheres of the economy. The way out of this cognitive trap is possible in applying the tools of the ecosystem approach, which considers economic relations within a set of ecosystems as extra-organizational, self-organized forms of conducting commercial and social (non-commercial) entrepreneurship. A hierarchy of models of innovative ecosystems is proposed for scientific and practical analysis of the phenomenon under consideration and for developing recommendations for the formation of necessary conditions for the development of ecosystem relations. The combinatorics of environmental factors and internal structure allows us to construct a significant set of ecosystem models.

The fundamental challenges faced by the global economy with the advent of the COVID-19 pandemic and the prospects for re-globalization provide opportunities for the intensification of the development of new forms of coordination of economic relations – innovative ecosystems (regional, industrial, entrepreneurial). It seems that economic relations are built within the framework of a particular ecosystem, and the scientific descriptive and predictive analytics are not sufficiently able to describe their nature and the main patterns of growth. In order to provide a theoretical and practical contribution to the developing ecosystem approach, the article presents an analytical model of the innovation ecosystem of a high-tech company, proposed for evaluating and comparing its level of development. Research methods include content analysis of scientific literature devoted to the study of innovative ecosystems and approaches to their assessment, system analysis and factor modeling. The research fundament is based on the dynamics of indicators of innovative development of the ecosystem of a large production company in the Sverdlovsk region for 2013-2019. The model was tested according to the indicators of 2018. Further directions of the research in the practical aspect will consist in a comparative analysis of other periods of the company’s activity, as well as in the application and verification of the model on the indicators of other organizations. Justification of the possibilities of creating technologies for managing the innovation ecosystem is seen as a theoretical component of future research.

Subject. This article explores the economic and social relations regarding the formation and functioning of innovation ecosystems. Objectives. The article aims to develop a typology of models of regional innovation systems. Methods. For the study, we used a system logical analysis and simulation modeling. Results. The article presents an original typology of models of regional innovation ecosystems and basic tools for analyzing and modeling different ecosystems (classification criteria, groups). Conclusions. We propose to use these models for analytical developments, design, and description of various examples of the subject of research in the real world, in the activities of a wide range of socio-economic and political actors both within ecosystems and influencing their genesis from the outside.

No abstract

Aim. The presented study aims to verify the author’s analytical model for assessing the development of the innovation ecosystem of a large enterprise.Tasks. The author describes the problems of assessing the level of development of innovative ecosystems; considers the relationship between the indicators of ecosystem dynamics (characterizing the stakeholders of the ecosystem) and the growth rate of production of innovative goods; reveals the specific features of ecosystem management, particularly with regard to interaction with ecosystem stakeholders as a factor in the ecosystem’s development.Methods. The theoretical and methodological basis of this study includes scientific publications on ecosystem genesis and assessment of the development of socio-economic ecosystems. Regression analysis is used to calculate the degree of connectivity between the previously selected indicators affecting the dynamics of production of innovative goods. The informational basis of the study consists of indicators of financial and economic activity of a large industrial enterprise in the Sverdlovsk region as well as indicators characterizing interaction with its stakeholders.Results. Development indicators of the innovation ecosystem of a large enterprise are calculated for 2013-2019 based on its stakeholder decomposition. Factors that are closely linked to the potential aggregate indicator of innovation ecosystem development are identified, and ways to make their analysis less complicated are outlined.Conclusions. Testing of the analytical model for assessing the development of the innovation ecosystem of a high-tech enterprise has revealed the irreducibility of the integral indicator of innovation ecosystem development to the production of new goods. The importance of developing an ecosystem management technology is substantiated.