Uncertainty and certainty property estimation of organizational-economic system
Evgeny Kuzmin
MPRA Paper from University Library of Munich, Germany
Abstract:
Uncertainty as a self-condition of open stochastic system is a principium of development of risk representations and their influences on organizational-economic subjects and objects. Undoubtedly, taking any management decisions is followed by uncertainty influence. This circumstance absolutely logically turns this category into central concept of management theory in various fields of knowledge. In this article the author deeply inquires into a question of uncertainty and certainty property estimation in organizational-economic system, gives and proves an author's opinion at the uncertainty nature and approaches to its calculation that is accompanied with studying of back property toward uncertainty – certainty of organizational-economic system. The author puts forward and reasonably proves a model of uncertainty cycle and calculation methods of cumulative uncertainty and certainty.
Keywords: organizational-economic systems; uncertainty; certainty; self-organizing; uncertainty types; model of uncertainty cycle (search for similar items in EconPapers)
JEL-codes: D81 (search for similar items in EconPapers)
Date: 2012-03
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Published in European Social Science Journal 3 (19) (2012): pp. 480-493
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/39372/1/MPRA_paper_39372.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:39372
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().