employee
Russian Federation
employee
As part of a set of measures to ensure the economic security of the state, it is important to assess the state of value chains localized on its territory and their participants, monitor the dynamics of changes in individual elements and the subject as a whole in terms of unique resources, competencies and dynamic abilities of the subject as a participant in the innovation ecosystem. Since this stage forms the basis for subsequent forecasting of its transformation from the point of view of the development of the innovative potential of the system based on the dynamics of complex indicators in the multidimensional space of evaluation criteria. The article describes proposals for the management of ecosystem formations and vividly presents a system of interrelated criteria indicators for evaluating participants in the innovation process.
assessment of the innovation ecosystem, analysis of the implementation of the innovation process, threats to economic security, criteria-based assessment indicators, innovative competencies of socio-economic entities
1. Kaytmazov V. A. Ekonomicheskaya bezopasnost': doktrinal'nyy podhod k opredeleniyu i soderzhaniyu // Vestnik ekonomicheskoy bezopasnosti. 2020. №6. S. 26-30.
2. Strategiya ekonomicheskoy bezopasnosti Rossiyskoy Federacii na period do 2030 goda. Utverzhdena Ukazom Prezidenta RF ot 13.05.2017 g. № 208. Rezhim dostupa: http://government.ru/docs/all/111512/
3. Schibany A., Hämäläinen T. J., Schienstock G. Interfirm Cooperation and Networking: Concepts, Evidence and Policy. Available at: http://www.oecd.org/ science/inno/2100807.pdf
4. Olmos F., M. Marisa How internal and external factors influence the dynamics of SME technology collaboration networks over time // Technovation. 2017. Vol. 64. P. 16-27.
5. Neto J.R., Figueiredo C., Gabriel B.C., Valente R. Factors for innovation ecosystem frameworks: Comprehensive organizational aspects for evolution // Technological Forecasting & Social Change. 2024. №123383
6. Chernova G.V., Kalayda S.A., Khalin V.G., Yurkov A. Sber ecosystem - the product of digitalization impact on intersectoral economic convergence // Journal of applied informatics. 2021. T.16. №3 (93). P.57-68.
7. Dli M.I., Zaenchkovskiy A.E., Kakatunova T.V. Predposylki ispol'zovaniya kontrollinga dlya upravleniya promyshlennymi klasterami // Upravlenie ekonomicheskimi sistemami: elektronnyy nauchnyy zhurnal. 2019. № 10 (128). S. 14-17.
8. Kalayda S.A. Model of creating an economic ecosystem in the framework of economic convergence under the influence of digitalization / Journal of Applied Informatics. 2021. T.16. № 6(96). P. 28-42.
9. Avazashvili N., Garkavenko E. O., Kuril'chik A.I. Cifrovye ekosistemy: razvitie, preimuschestva i vozmozhnye riski//Aktual'nye voprosy sovremennoy ekonomiki. 2023.- №3. S.329-336
