Modeling the Application of Knowledge Management System in Order to Improve the Technology Governance in the Automotive Industry of Iran Using the Data Mining Environment

Customer knowledge management is a combination of knowledge management and customer relationship management that is important for developing the organization's business strategy and thus improving organizational activities and achieving competitive advantage. With the development and expansion of knowledge and information technology, the project environment has become more complex.

Since knowledge management is one of the most important approaches that has been considered in this regard, the issue of the present study is to investigate the impact of knowledge management and each of its constituent processes (creation, application, sharing and storage of knowledge) on IT governance in the automotive industry.

Due to the fact that the impact of knowledge processes in the project environment is investigated, the method of this research was quantitative and the information required for this research was collected from the database of car companies. Level of car purchase is considered as a dependent variable and information about age, gender, income level, occupation, level of education, car history, marital status is considered as an independent variable. It was analyzed using data mining method and kmens algorithms and neural network method and support vector machine.

The obtained results show that the use of knowledge management has been able to predict the types of customers and sales trends in the future and it is expected that the obtained results will be effective in managing the construction and production of the country's automotive industry.