Abstract
The success of International Joint Educational Programs of the Educational Establishments based on effective management. This makes a need for predicting the competitiveness indicators in order to analyze different strategies for the expansion of higher education establishments and the picking up the best scenarios of its market play. The simulation methodology makes possible to performe analysis management that contains elements of actions that influenced by random factors. Using the method of system dynamics as the main tool is due to the complexity of the strategic alternatives selection in a dynamically developing situation, under conditions of external and internal uncertainty. The initial state of performed simulation was based on the parameters that define the market share and the number of potential students of the joint educational program between Admiral Makarov National University of Shipbuilding and partner in Zhejiang City, China. Sensitivity analysis experiments allow determining the influence of the initial hypotheses and the key parameters values on the model output parameters of the interference of competitiveness factors under uncertainty conditions. This significantly improves the effectiveness of management processes.
Highlights
IntroductionThe problem of increasing competitiveness is one of the primary tasks for optimizing the management of higher education institutions, working in conditions of the market and crisis
This leads to the need for simulation and predicting the dynamics of competitiveness indicators in order to analyze alternative strategies for the development of higher education institutions and the selection of optimal scenarios of its market conduct
Simulation modeling allows predicting the dynamics of competitiveness and making decisions on the selection of measures for their increase (Koshkin, Knyrik, & Voznyy, 2016)
Summary
The problem of increasing competitiveness is one of the primary tasks for optimizing the management of higher education institutions, working in conditions of the market and crisis. Optimization of university exchange relations with competing organizations is the main task of effective management. This leads to the need for simulation and predicting the dynamics of competitiveness indicators in order to analyze alternative strategies for the development of higher education institutions and the selection of optimal scenarios of its market conduct. Simulation modeling allows predicting the dynamics of competitiveness and making decisions on the selection of measures for their increase (Koshkin, Knyrik, & Voznyy, 2016)
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