Procedure for Adopting Regional Managerial Decisions on the Basis of Applying DSS “DATA”
- DOI
- 10.2991/aebmr.k.200502.088How to use a DOI?
- Keywords
- managerial decisions, regional socio-economic system
- Abstract
The process of making managerial decisions at the regional level involving the resources of an automated system “DATA” (decision support system) is presented. The control object is a regional socio-economic system that operates in the context of implementing the National Projects of the Russian Federation. The external environment is shown to influence the formation of a regional managerial decision. The analysis of the external environment by the tools of the decision support system “DATA” allows you to determine many alternative managerial decisions and, based on the time factor, specify the optimal managerial decision as a selection criterion. The knowledge base of the software package contains a set of measures to achieve the goals of the Russian National Projects in the regional socio-economic system. The system of production rules used in the decision support system “DATA” makes it possible to form a set of corrective measures for managing the impact on the region, taking into account its specificity, as well as the versatile environmental impact. The regional manager is the person who makes the final decision on choosing specific managerial measures.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - E.E. Averchenkova AU - A.V. Averchenkov PY - 2020 DA - 2020/05/05 TI - Procedure for Adopting Regional Managerial Decisions on the Basis of Applying DSS “DATA” BT - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020) PB - Atlantis Press SP - 538 EP - 545 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200502.088 DO - 10.2991/aebmr.k.200502.088 ID - Averchenkova2020 ER -