Open AccessRISK MANAGEMENT OF STATE REGULATION PROJECTS FOR THE INNOVATION CLUSTERS DEVELOPMENT
Author(s) -
Olga Orlova-Kurilova,
Ihor Kuksa,
Iryna Hnatenko,
Viktoriia Rubezhanska
Publication year - 2020
Publication title -
ekonomìčnij časopis volinsʹkogo nacìonalʹnogo unìversitetu ìmenì lesì ukraïnki
Language(s) - English
Resource type - Journals
eISSN - 2786-4618
pISSN - 2786-460X
DOI - 10.29038/2411-4014-2020-02-17-24
Subject(s) - business , selection (genetic algorithm) , transaction cost , state (computer science) , cluster analysis , government (linguistics) , set (abstract data type) , database transaction , resource (disambiguation) , realization (probability) , industrial organization , process management , risk analysis (engineering) , computer science , finance , computer network , linguistics , philosophy , statistics , mathematics , algorithm , artificial intelligence , machine learning , programming language
. Clustering initiates innovative activity in all phases of reproduction by reducing barriers to market entry and transaction costs for information seeking, creating the conditions for attracting additional financial resources, and generating demand for highly qualified personnel. In this regard, it is particularly important to ensure the effective functioning and development of innovative clusters in the country through the development and implementation of projects for their state regulation. The theoretical aspects of realization of projects for state regulation of innovative clusters development are considered in the article. The model of risk management of government regulation projects for the innovative clusters development is schematically presented. An algorithm for selection of state regulation projects is proposed, which will facilitate the selection of optimal projects from the set of available projects for implementation, as well as the selection and determination of the most appropriate places for their application.