Submit an Article
Become a reviewer
Vol 197
Pages:
124-128
Download volume:
RUS
Article

The classification and quantitative assessment of innovation project risks

Authors:
Yu. A. Kulik1
V. N. Volovich2
N. G. Privalov3
A. N. Kozlovskii4
About authors
  • 1 — Ph.D., Dr.Sci. professor National Mineral Resources University (University of Mines)
  • 2 — Ph.D., Dr.Sci. professor National Mineral Resources University (University of Mines)
  • 3 — Ph.D., Dr.Sci. professor National Mineral Resources University (University of Mines)
  • 4 — post-graduate student National Mineral Resources University (University of Mines)
Date submitted:
2011-09-03
Date accepted:
2011-11-03
Date published:
2012-05-25

Abstract

The classifications of risks based on different parameters are considered; the specific risks of innovative projects are sorted out and structured. The approaches to the quantitative assessment of risks are analyzed, their features, contents, advantages and limits are determined. The conditions of appropriate usage of these approaches are considered. The possibilities of hierarchical process analysis method are shown.

Область исследования:
(Archived) Economic problems and prospects of mineral and raw material sector of Russia
Keywords:
risk classification risk identification quantitative risk assessment expert assessment
Go to volume 197

References

  1. Gracheva M.V., Kulagin A.C., Simaranov S.U. Innovation entrepreneurship, risks and safety ensuring. Мoscow, 2000.
  2. Gracheva M.V., Liapina S.U. Risk management in innovation activities Мoscow, 2010
  3. Risks in economics: educational guidance for higher education institutes / Edit. by V.A.Shwander. Мoscow, 2002.
  4. Saati T. Decision making process: method of hierarchical analysis. Мoscow, 1993.

Similar articles

The method of analysis stress-and-strain state оf a rock massif with regard to nonlinear character of straining process
2012 A. P. Gospodarikov, M. V. Maksimenko
Plagioclase’s iridescent as mineralogical sign of pegmatites with large-crystalline muscovite (North Baikal muscovite province)
2012 M. A. Ivanov, A. P. Simakov
Structural approach to complex dynamic object fault detection and localization
2012 L. B. Poshekhonov, M. Yu. Shestopalov
Commercialization of results of scientific researches and development as factor of innovative development of economy
2012 V. A. Knysh
Assessment of groundwater limitations in the context of Saint-Petersburg territory development
2012 V. V. Antonov
Rock-destroying tool development for ice well drilling
2012 Vladimir S. Litvinenko, N. I. Vasilev