High Knowledge Level for an Innovation Cluster Environment Formation in the Russian Federation
DOI:
10.34190/KM.19.128URI (для ссылок/цитирований):
http://tinyurl.com/ECKM19https://elib.sfu-kras.ru/handle/2311/128687
Автор:
Galina, Belyakova
Elina, Stepanova
Evgeniy, Zabuga
Коллективный автор:
Институт управления бизнес-процессами и экономики
Кафедра экономики и управления бизнес-процессами
Дата:
2019Журнал:
20th European Conference on Knowledge Management ECKM 2019Квартиль журнала в Scopus:
без квартиляКвартиль журнала в Web of Science:
без квартиляБиблиографическое описание:
Galina, Belyakova. High Knowledge Level for an Innovation Cluster Environment Formation in the Russian Federation [Текст] / Belyakova Galina, Stepanova Elina, Zabuga Evgeniy // 20th European Conference on Knowledge Management ECKM 2019. — 2019. — Т. 1. — С. 111-122Аннотация:
A system for the evaluation of the knowledge development level of cluster innovation environment in Russia is presented in this article. Building on concepts of the innovation environment, the author emphasizes the importance of human capital and knowledge development as key elements for the innovation of cluster environment formation. A complex system of interacting elements of an innovation environment providing innovation development of a socio-economic system in the interests of society and the individual is known as an innovation environment cluster. The main prerequisites for the emergence of an innovation environment are the availability of social connections and networks for the exchange of ideas, information and knowledge development. The article identifies the need for creating new specific knowledge to improve innovation cluster. To ensure the effective functioning of the cluster, you must have a coherent information infrastructure. In the management formation and development of innovation environment through the application of tools designed for cluster development, the cluster management company’ work creates a particular mode of doing business, favourable institutional conditions and aims to achieve synergies. To evaluate the knowledge level of cluster innovation environment, basic indicators are needed. We believe that assessment of the state of a cluster’s innovation environment must be preceded by the definition of measurable indicators as described in this article.
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