Statistical Theory of Knowledge as Instrument of Management of Innovative Potential of a Scientist
Download as PDF
DOI: 10.23977/ceed.2019.014
Author(s)
S.A. Filin, A.ZH. Yakushev
Corresponding Author
S.A. Filin
ABSTRACT
At present, questions of the motivation of scientific and innovative activities of scientists and researchers are highly relevant because each state seeks to increase the level of innovation in enterprises, which in turn will ensure high growth rates of the economy, primarily due to high technologies, innovative products and services. The high level of economic development and the scientific and technological success of many corporations and entire countries is the result of an optimized policy for managing their innovation potential. The development of such a policy should be supported by logical and mathematical models. A logical and mathematical models of innovation activity in an organization, based on the statistical theory of knowledge, that allows a quantitative assessment of the possibility of increasing the innovative potential of a scientist-researcher during the various stages of the innovation process are offered.
KEYWORDS
Scientist, Researcher, Inventor, Innovation, Innovation Potential, Statistical Theory of Knowledge