ECOSYSTEM MODEL OF ENTERPRISE DEVELOPMENT IN THE CONTEXT OF DIGITALIZATION 

Tolstykh Tatyana Olegovna, doctor of economical sciences, professor, sub-department of industrial management, National University of Science and Technology “MISIS”, Institute of Economics and Industrial Management (4 Leninskiy prospect, Moscow, Russia), E-mail: tt400@mail.ru
Agaeva Ayya Meredgel'dyevna, postgraduate student, Russian University of Economics named after G. V. Plekhanov (36 Stremyannyy lane, Moscow, Russia), E-mail: agaevaam94@mail.ru 

33.338 

10.21685/2227-8486-2020-1-3 

Subject and goals. In connection with rapidly changing technologies, new models of behavior of economic players are being created and modernized. Traditional business models between market participants are gradually becoming outdated and there is a tendency to build relationships with competitors in the format of partnership interactions. These market conditions call for researchers and actors (market participants) to form new organizational models of interaction between participants in the economic market.
Methods. The approaches of various researchers on the issues of the goals and essence of innovative ecosystems are considered. the research is based on the synergetic principle of studying the ecosystem, as well as a comparative analysis of organizational models used in the generation and implementation of innovations.
Results and conclusions. The author's position of the ecosystem definition is proposed. The three-level (actor level, micro level, and macro level) structure of the ecosystem and its potential risks are presented. An example of a cluster that is gradually transforming into an ecosystem model is shown. Mass digitalization is extremely important, but without parallel development of horizontal social communications, without cultivating collaborative relationships between business and science, digitalization will not be able to give the economy either new sources of growth or increase its stability. 

innovation, digital technologies, ecosystem, organizational models, actors, cluster, ecosystem structure, risks