Methodology of managing the stability of equilibrium of a socio-economic object
To promptly and proactively address various issues arising from the influence of external and internal factors on an organization, it is necessary to better understand the nature of managing the equilibrium stability of a socio-economic entity (SEE). Failure to promptly identify SEE problems reflects the results of non-systemic human activity. The purpose of this study is to develop a methodology for managing the equilibrium stability of SEEs, incorporating several approaches. In theory, this problem is currently addressed through an expert (heuristic) approach. Management practice requires continuous improvement of SEE processes. However, a common understanding of this problem has not yet emerged. The methodological developments for managing equilibrium stability, systematized in this article, are used intuitively and fragmentarily in practice and therefore prove ineffective, resulting in a significant expenditure of resources. The authors propose a methodology for managing the equilibrium stability of SEEs based on N. Wiener's cybernetic model, as well as a systemic, process-oriented, and situational approach. N. Wiener's model is universal and allows for monitoring changes in the state of the ECS, and therefore disturbances to stable equilibrium. It assumes multiple control actions on the state of the object under study, applying the concepts of the theory of constraints. When identifying and accounting for external and internal factors influencing the control system, this model suggests taking into account the phenomenon of hysteresis. All of this, taken together, allows management to promptly respond to challenges from the external and internal environment of the ECS and ensure its stable equilibrium.
Institutions
- University of Science and Technology (YE)
- Korea University of Science and Technology (KR)
Publication Details
- Journal
- KANT
- Published
- 2025-09-25
- DOI
- https://doi.org/10.24923/2222-243x.2025-56.2
- Primary Topic
- Operations Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00