Modeling of management of the information potential of complex economic systems under conditions of risk

Sharko Margarita (), Burenko Juliya () and Gusarina Nataliya ()
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Sharko Margarita: Kherson National Technical University
Burenko Juliya: Kherson National Technical University
Gusarina Nataliya: National University of Shipbuilding, Mykolayiv

Technology audit and production reserves, 2(34) 2017, 2017, vol. 2, issue 4(34), 14-19

Abstract: The object of this study is the modeling of management of information capacities of complex economic systems under conditions of risk. The disadvantages of existing methods of management are: multidimensionality due to presence of a large number of interrelated elements in some economic system; the variety of management structures due to the uncertainty of influence of the environment; risks and loss due to wrong decision-making; the diversity of objectives of subsystems; multi-functionality. An approach to modeling of management of information capacities of multilevel and hierarchical systems under conditions of risk is proposed. This approach allowed to develop mathematical tools for management on the basis of information analysis of complex systems and synthesis of modeling methods. It also gives practical recommendations for the integrated use of levels and management approaches under conditions of uncertainty. The resulting quantitative economic characteristics of the selected management option: net profit, production costs, production volumes, competitiveness in the overall spectrum the crucial tasks – are defined by possibilities, constraints and resources. The expectation of the effect to be achieved, in the author's interpretation of the results, is due to the reliability of the selected management option and the optimality of economic efficiency criteria formation.

Keywords: economic systems; management of information capacities; conditions of risk; information potential (search for similar items in EconPapers)
JEL-codes: M15 P48 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nos:ynbvsn:3

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