Modeling and Analysis of the Privatization’s Effect on Corporate Performance Using the System Dynamics Approach and EFQM Excellence Model (Case Study: National Iranian Drilling Company)
Volume 9, Issue 3, Autumn 2019, Pages 271-283
Hamzeh Amin-Tahmasbi, Hossein Amoozad khalili, Hossein Nasirzadeh
Abstract 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.
Ranking the Criteria of Quality Management System Implementation in Construction Quality Control Companies via Fuzzy Analytical Hierarchy Process
Volume 8, Issue 1, Spring 2018, Pages 49-62
Hamzeh Amin-Tahmasbi, Arash Sadeghi Tmly
Abstract Among the factors responsible and involved in projects are quality control consulting services and resistance of building materials companies which are working to have an effective performance through interior fit with the structure of the projects as well as exterior fit with the environment. They are also working to complete the projects in the shortest possible time and cost and with the right and certain quality. This paper aims to show the position and significance of quality management in construction quality control companies and to prioritize criteria for successful quality management. In this regard, through literature review and interview with experts, a questionnaire with 33 variables and 7 indices was designed to rank quality management measures. Interacting with the managers and senior technical staff in consulting engineer companies finally 15 sub-indices were determined. The research community is composed of 22 companies associated with quality control process and resistance of building materials in Rasht. The sub-indices have been asked through paired comparison questionnaires. Findings were analyzed through fuzzy analytical hierarchy process (AHP) software and the criteria were prioritized. Then, the impact of the criteria on quality management of construction quality control companies was found. Training index and operational management process, among the indices, were identified as the most significant factors in quality management of construction consulting engineers companies.
