Applying Data Mining to Improve Hiring and Performance Evaluation Processes: A Case Study

In today's world, the use of data as a powerful resource for improving organizational decision-making, particularly in the field of human resource management, has gained significant importance. This article explores the application of data mining in improving recruitment and performance evaluation processes in a food industry company located in Shahroud. Through a case study, this research aims to answer the question of how employee data can be analyzed to predict hiring success and enhance performance. The methodology includes collecting data on educational background, work experience, evaluation scores, and job satisfaction, which are analyzed using interpretive modeling and content analysis. The findings indicate that data mining can help identify successful patterns in hiring and performance evaluation, and also contribute to reducing employee turnover and increasing job satisfaction. Finally, recommendations are provided for improving recruitment and performance evaluation processes using data-driven approaches

کلیدواژه ها:

Data Mining ، Human Resource Management ، Interpretive Modeling ، Content Analysis