Systems Methodology And Model Tools For Territorial Sustainable Management

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Gennady A. Ougolnitsky
T. Yu. Anopchenko
O. I. Gorbaneva
E. I. Lazareva
A. D. Murzin


No doubt, this research is topical in the context of new challenges arising for different Russian territories (regions) due to intensive globalization processes and jumping trends of world economy. These challenges are stressing the need for an innovation-oriented improvement of regional management systems in accordance with the realities of cyclicity and the conditions of fundamental resources to stimulate positive social and economic dynamics.

The goal of the present paper is to justify a methodology and real ways of regional sustainable management system design based on efficient model tools and information technology.

For achieving this goal, several problems have been solved such as the dynamic modeling of a regional social-ecological-economic system and coordination of public (social) and private interests, the elaboration of reasonable management approaches to regional development risks, as well as the design of an appropriate methodology to integrate the suggested models and approaches within an information-analytical sustainable management support system.  

The novelty of an original scientific outlook introduced by the authors consists in the elaboration of a well-grounded systems methodology and model tools for regional sustainable management and also in the justification and verification of qualitative and quantitative approaches to the analysis of regional development risks and their integration into a unified regional sustainable management system.

The methodology and model tools presented below can be used for enhancing the scientific and practical components of a regional sustainable management system under dynamic and conflicting external conditions.


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How to Cite
Ougolnitsky, G., Anopchenko, T., Gorbaneva, O., Lazareva, E., & Murzin, A. (2018). Systems Methodology And Model Tools For Territorial Sustainable Management. Advances in Systems Science and Applications, 18(4), 136-150.