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Organizational and Financial Modeling of Transnational Industrial Clusters Sustainable Development: Experience, Risks, Management Innovation

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  • O.V. Andreeva
  • E.V. Shevchik

Abstract

The article is devoted to a research of current trends and priorities of organizational and financial modeling of sustainable development. The experience of transnational industrial clusters formation and development is the object of the research. In this article authors conduct a research of the opportunities for sustainable development strategies modeling in the context of new phenomena and precedents, demonstrated by global economic system and revealing in convergence of risk events and divergence of their assessment: new phenomena, properties and characteristics of economic systems, important for the management systems modernization with the purpose to resolve problems of their theoretical and methodological support, had been analyzed; and as a result the method of system and diagnostic analysis, oriented on proactive modeling of management systems competitive performance, was proposed. The authors came to conclusion about the need to include system and diagnostic analysis in the methodological basis of social and economic systems management theory, including all forms of business entities in the industry. The stated improvement of management methodology will form instrumental and methodical apparatus of a new economic growth strategy modeling. Thus, the restructuring of the Russian economic system should be carried out considering the objective need to bring its organizational and financial model to the form of hyper-network super-system, which will enable preventive modeling and testing of the process of all sectors and clusters integration, maintaining a positive synergetic effect. As a result the authors concluded that the development of transnational industrial clusters should be conducted as a part of the adaptive stability provision concept, which is achieved by applying system and functional analysis as a methodological basis for organizational and financial modeling.

Suggested Citation

  • O.V. Andreeva & E.V. Shevchik, 2017. "Organizational and Financial Modeling of Transnational Industrial Clusters Sustainable Development: Experience, Risks, Management Innovation," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 137-147.
  • Handle: RePEc:ers:journl:v:xx:y:2017:i:1:p:137-147
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    References listed on IDEAS

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    Cited by:

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    2. Vovchenko N.G. & Andreeva O.V. & Orobinsky A.S. & Sichev R.A., 2019. "Risk Control in Modeling Financial Management Systems of Large Corporations in the Digital Economy," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 1), pages 3-15.
    3. Albekov Adam Umarovich & Vovchenko Natalia Gennadyevna & Andreeva Olga Vladimirovna & Sichev Roman Alexandrovich, 2017. "Block Chain and Financial Controlling in the System of Technological Provision of Large Corporations," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 3-12.

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    More about this item

    Keywords

    Management; industry; corporate finance; financial strategy; organizational and finance modeling; sustainable development;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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