IDEAS home Printed from https://ideas.repec.org/a/rnp/smmscn/s24336.html
   My bibliography  Save this article

Models of network adaptive interaction of organizations in conditions of decision making by the dominant owner about implementation of the project
[Модели Сетевого Адаптивного Взаимодействия Организаций В Условиях Принятия Решения Доминирующим Собственником О Реализации Проекта]

Author

Listed:
  • Andrey O. Zubreev (Зубреев А.О.)

    (Kuban State Agrarian University)

Abstract

In modern business conditions, the network interaction of organizations is one of the most effective forms of cooperation within the framework of the project. The ability of the network to adapt to changing factors and conditions of the external and internal environment based on the reactive management of business processes of project interaction ensures not only the achievement of project goals, but also the satisfac-tion of the complementary interests of all counterparties. The process of developing the author's model includes an analysis of existing models of network interaction between organizations, the study of methods and approaches to evaluating the effectiveness of such interaction, as well as the identification of key factors influencing the success of the project. The results obtained will improve the understanding of the processes of networking between organizations in the implementation of projects, as well as develop recommendations to improve the effectiveness of such interaction. The results can also be useful both for the scientific community and for practitioners involved in project management and business processes in a network context. The methodological basis of the study was the methods of comparative and logical analysis, induction and deduction, analysis and synthesis. As a result of the work carried out, the author's model of network adaptive interaction of organizations was formed in the conditions of decision-making by the dominant owner on the implementation of the project.

Suggested Citation

  • Andrey O. Zubreev (Зубреев А.О.), 2024. "Models of network adaptive interaction of organizations in conditions of decision making by the dominant owner about implementation of the project [Модели Сетевого Адаптивного Взаимодействия Органи," State and Municipal Management Scholar Notes, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 282-289.
  • Handle: RePEc:rnp:smmscn:s24336
    as

    Download full text from publisher

    File URL: ftp://w82.ranepa.ru/rnp/smmscn/s24336.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rnp:smmscn:s24336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.