Adaptation of Mathematical Tools for Scenario Modeling in a Digital Environment of Multilevel Strategic Management
https://doi.org/10.26794/2304-022X-2019-9-3-17-27
Abstract
The deepening of the digital transformation process has a significant impact on the functioning of the institutions of the state and society. The improvement of the methodology of strategic planning in the public administration sphere on the digital platform formation basis and the process concept development for a technology of hierarchy management decisions support adapted to the uncertainty of the development environment becomes relevant. The structural elements of the scenario modeling system are considered. The key aspects of the formalization of scenarios modeling tasks and the basic settings of the analytical and computer tools for its implementation are identified have taking into account the capabilities of digital management technologies and the institutional foundations of multi-level strategic planning in the Russian Federation. The obtained results will allow forming the basis of the algorithmization of functions for an intelligent system of scenario modeling with the support of solving tasks of strategic goal-setting and programming.
Keywords
Supporting agencies: The work has been performed with the financial support of the Russian Foundation for Basic Research (project № 18–010–01151). The paper has been prepared as a part of the report for the International Scientific and Practical Conference “System Economics, Socio-Economic Cybernetics and Soft Measurements in Economics — 2019”.
About the Author
O. M. Pisareva
State University of Management
Russian Federation
Russian Federation
Olga M. Pisareva — Cand. Sci. (Econ.), Head of the Department of Mathematical Methods in Economics and Management
Moscow, Russia
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For citations:
Pisareva O.M. Adaptation of Mathematical Tools for Scenario Modeling in a Digital Environment of Multilevel Strategic Management. Management Sciences. 2019;9(3):17-27. (In Russ.) https://doi.org/10.26794/2304-022X-2019-9-3-17-27
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