چکیده مقاله
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
کلیدواژهها
نویسندگان
Maryam sohrabi
Graduated from Master of Science in Industrial Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran
شیوه ارجاع
sohrabi, Maryam,1404,Applying Data Mining to Improve Hiring and Performance Evaluation Processes: A Case Study,22th International Conference on New Research in Management, Economics, Accounting and Banking (ICMEAB)
ارائهشده در
مجموعه مقالات بیست دومین کنفرانس بین المللی پژوهش های نوین در مدیریت، اقتصاد، حسابداری و بانکداری26 اسفند 1404