Analytical content of properties of uncertainty and certainty of organizational-economic systems: derivatives indicators
Uncertainty and certainty of organizational-economic systems are their integral properties. Existence and development of any object in stochastic conditions is not obviously possible without presence of uncertain conditions and the certain factors determining the subsequent conditions of organizational-economic system. Representation and a substantiation of the methodological device of carrying out of an estimation of uncertainty and the certainty, the author stated earlier in the publication «Uncertainty and certainty property estimation of organizational-economic system», have formed a basis for deepening of research and formation of a complex of analytical indicators. In the scientific article the original derivative indicators are resulted and described, allowing to carry out the analysis of properties of uncertainty and certainty in organizational-economic systems. All derivative indicators are typified on groups, allowing to make some panel of indicators. Reveals two approaches to an estimation of uncertainty and certainty on the basis of dependence of subsystems. Decomposition of public-private partnership, as example of difficult organizational-economic system is made.
|Date of creation:||Jun 2012|
|Publication status:||Published in European Social Science Journal 6 (22) (2012): pp. 446-458|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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- John J. McCall, 1982. "The Economics of Information and Uncertainty," NBER Books, National Bureau of Economic Research, Inc, number mcca82-1, June.
- Oxelheim, Lars & Wihlborg, Clas, 2008. "Corporate Decision-Making with Macroeconomic Uncertainty: Performance and Risk Management," OUP Catalogue, Oxford University Press, number 9780195335743, April.
- John J. McCall, 1982. "Introduction to "The Economics of Information and Uncertainty"," NBER Chapters,in: The Economics of Information and Uncertainty, pages -11 National Bureau of Economic Research, Inc.
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