{"title":"Risk Assessment in Human Resource Management Using Predictive Staff Turnover Analysis","authors":"Timofey Tarusov, O. Mitrofanova","doi":"10.1109/SUMMA48161.2019.8947527","DOIUrl":null,"url":null,"abstract":"Analysis of personnel risks is one of the important tasks in personnel management. Staff turnover is one of the pressing topics in human resource management. The article analyzes the possible causes of staff turnover in a machine-building enterprise, taking into account various variables. To better understand the nature of the relationships between the variables, a correlation matrix was constructed. The created model based on the random tree algorithm allowed to develop a classification of employees with the characteristics of a possible departure from the company.","PeriodicalId":163496,"journal":{"name":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUMMA48161.2019.8947527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Analysis of personnel risks is one of the important tasks in personnel management. Staff turnover is one of the pressing topics in human resource management. The article analyzes the possible causes of staff turnover in a machine-building enterprise, taking into account various variables. To better understand the nature of the relationships between the variables, a correlation matrix was constructed. The created model based on the random tree algorithm allowed to develop a classification of employees with the characteristics of a possible departure from the company.