Essays about: "Employee Turnover Prediction"

Found 3 essays containing the words Employee Turnover Prediction.

  1. 1. Evaluating Methodological Considerations and Quality Standards in People Analytics: A Scoping Review and Bibliographic Analysis

    University essay from Linnéuniversitetet/Institutionen för psykologi (PSY)

    Author : Xandee Pescador Dahlén; Luise Schewzow; [2023]
    Keywords : People analytics; data-driven decision making; scoping review; bibliometric analysis; methodological considerations; quality standards;

    Abstract : People analytics (PA) has experienced significant growth in recent years due to the increasing availability of employee data and the impact of digitalization on organizations. This data-driven approach utilizes inductive methods to predict various outcomes in the field of human resources. READ MORE

  2. 2. Employee Turnover Prediction - A Comparative Study of Supervised Machine Learning Models

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Suvoj Reddy Kovvuri; Lydia Sri Divya Dommeti; [2022]
    Keywords : Machine Learning; Employee Turnover Prediction; Supervised Learn- ing Models; Logistic Regression; Naive Bayes Classifier; Random Forest Classifier; XGBoost;

    Abstract : Background: In every organization, employees are an essential resource. For several reasons, employees are neglected by the organizations, which leads to employee turnover. Employee turnover causes considerable losses to the organization. READ MORE

  3. 3. Predicting employee attrition with machine learning on an individual level, and the effects it could have on an organization

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Fredrik Norrman; [2020]
    Keywords : Employee attrition; Employee turnover; Machine learning; Prediction; Human resource;

    Abstract : This paper is investigating the possibility to predict employee attrition on an individual level with machine learning. The study is divided into two parts, one qualitative part which were conducted by doing interviews with selected roles where the openness to which practitioners are willing to use machine learning models to predict employee attrition, and what effects such a model could have on an organization was investigated. READ MORE