عنوان مقاله [English]
Privatization is considered as an approach to help organizations and corporates to achieve high efficiency in developing countries. Therefore, the way it affects the corporate performance is of great importance, because privatization and organizational excellence are so complicated due to feedback relationships, time delays, and dominant non-linear relationships. Moreover, the dynamics of the privatization’s effects on organizational excellence over time should be analyzed using a system dynamics approach in order to examine the effectiveness of privatization so that it can help corporates to make appropriate decisions and invest on the privatizations aspects with highest impact on organizational excellence. Privatization has not analyzed using the system dynamics approach in previous studies. Thus, this study aims to analyze and model the privatization’s effect on corporate performance using the system dynamics approach and EFQM excellence model in five stages in the National Iranian Drilling Company. After the statement of the problem, the key variables are identified and the time horizon is determined. Then, the dynamic hypothesis is presented and the structure of a causal loop diagram is depicted. The surface and flow maps are also explained and the model is simulated. Afterwards, the validity of the proposed model is examined based on validation tests. Finally, by analyzing the sensitivity of the model variables, designing and evaluating policies at the National Iranian Drilling Company are dealt with. Analyzing the impact of privatization on organizational excellence creates a set of advantages for the company using the dynamism systems, the most important ones are: simulating the effects of affective factors on the results; implementing "what if" to analyze the scenarios and potential. future threats; The ability to visually performance the relationship between privatization and organizational excellence; reduce the risk of executive programs by simulating and examining the consequences of different scenarios before implementing the dynamic model; and considering the time reliance between cause and effect. The effects of any changes can be simulated before practical application by using the proposed model in a virtual environment, and decision can be made by complete knowledge of all aspects.