Determining a model for evaluating the knowledge management system in order to improve industries with the focus on educational technology and applying data mining concepts

Subject Areas :

komeil akbarnezhadbaei ¹ , mahmoud mohamadi ² , abdollah kouloubandi ³ , Mohammad Taghipour ⁴

1 - Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
4 - Department of Industrial Enginnering, Shahriar Branch, Islamic Azad University, Shahriar, Iran.

Received: 2022-12-28 Accepted : 2023-02-04 Published : 2023-03-11

Keywords: Knowledge Management, Data mining, industries, educational technology,

Abstract :

Customer knowledge management is a combination of knowledge management and customer relationship management, which becomes important for developing the business strategy of the organization and as a result, improving organizational activities and achieving a competitive advantage. With the development and expansion of knowledge and information technology, the project environment has become more complex. The purpose of the research is to determine a model to evaluate the knowledge management system in order to improve industries with the focus on educational technology and the use of data mining concepts. Quantitative research method and the required information of this research were collected from the database of industrial units including the automobile company. The statistical population of the research includes all car buyers during the years 2019 and 2019, and the sampling method was simple random.To collect data from questionnaires and to analyze data, data mining method and kmens algorithms, neural network method and support vector machine were used. The obtained results show that the use of knowledge management and educational technology concepts 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 useful in improving industries and manufacturing and production management in the country.