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Turan International University Uzbekistan
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Turan International University Uzbekistan
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Turan International University Uzbekistan
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Turan International University Uzbekistan
Turan International University Uzbekistan
The paper introduces a strategic management model called the EDU-OPT Model, which will help to improve the resilience of the operations of educational organizations and their financial sustainability, especially in a developing economy like Uzbekistan. The model utilizes the concepts of the Dynamic Stochastic General Equilibrium (DSGE) modeling which has been widely used in the monetary policymaking of national economies to reconcile macroeconomic theory with institutional strategic planning. Conceptualizing the educational institution as an evolving ecosystem, EDU-OPT model takes as its variables the digital financial development, financial frictions, technological advancements to model the dynamics of interaction between tuition pricing and state subsidies on the enrollment stability and stability of the institution in the long term. The results of the simulation, supported by ANOVA, indicate that the EDU-OPT model can be trusted as being much more effective than the conventional traditional methods of management that are not dynamic in nature. Particularly, the reduction of the enrollment volatility in the EDU-OPT model is 22 % lower than in traditional models and 30 % more reactionary to economic shocks by a proactive Institutional Taylor Rule that alters the internal financial aid due to the cost inflation. According to 2018-2025 data, technological advancement, although being the main driver of growth, may have a positive effect on any economy under certain conditions, that is, financial liquidity may negate the effect, and this liquidity constraint can be addressed only with dynamic optimization. These results imply that the institution of higher education in Uzbekistan will have to shift its leadership towards more data-centered and general equilibrium leadership that is able to predict both macroeconomic disruptions and the digital transformation.
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