Designing a model for achieving sustainable competitive advantage through business intelligence using system dynamics modeling in Tehran Oil Refining Company

Competitive advantage is one of the components that ensure organizational viability. Gaining a competitive advantage is not achieved randomly and without a plan; Rather, organizations should move in this direction by thinking and designing scientific frameworks and creating appropriate structures. There are several strategies that organizations must use to gain a competitive advantage. Smart businesses are recognized in most countries as important elements in socio-economic development. These businesses are especially important in creating job opportunities with low investment, regional development, organizational development of companies based on the principles of technology, product innovation and the creation of new methods. The research method in this paper is the modelling of system dynamics in Tehran Oil Refining Company, the results of which have been analyzed by descriptive statistical methods. The data collection method of this research in the quantitative part is prepared with questionnaires that managers, experts and experts complete sustainable competitive advantage through business intelligence using system dynamics modelling in Tehran Oil Refining Company, and data collection tools to The statistical population of this research is the staff and customers of Tehran Oil Refining Company and the method of data analysis is the use of Vensim software version 19 and modelling method, dynamics. It is a system. The purpose of this study is to design a model for achieving sustainable competitive advantage through business intelligence using system dynamics modelling in Tehran Oil Refining Company. The results of this study showed that managers of different industries can use this model and consider other variables, using the documents in their organization, the effectiveness of each of the criteria for achieving sustainable competitive advantage through business intelligence on the criteria. And predict their desired indicators such as brand equity, brand market share, profitability, demand, etc.