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Employee Attrition Prediction
2 references·5 citing·21 second hop
Employee Attrition Prediction (2018)Employee Attrition PredictionWhen Employees Are Out of Step with Coworkers: How Job Satisfaction Trajectory and Dispersion Influence Individual- and Unit-Level Voluntary Turnover (2012)When Employees Are Out of Ste…Turnover Intentions of the Faculty at a Teaching-Focused University (2006)Turnover Intentions of the Fa…An integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence (2025)An integrated model to evalua…An Explainable Machine Learning-Based Employee Attrition Predictive System (2025)An Explainable Machine Learni…Detection and Identification of Employee Attrition Using a Machine Learning Algorithm (2022)Detection and Identification …Predicting Employee Attrition using Supervised Learning Classification Models (2021)Predicting Employee Attrition…Employee Attrition Prediction Using Machine Learning Algorithms (2021)Employee Attrition Prediction…Employee Turnover: A Meta-Analysis and Review with Implications for Research (1986)Journal of higher education (1996)A Meta-Analysis of Antecedents and Correlates of Employee Turnover: Update, Moderator Tests, and Research Implications for the Next Millennium (2000)Employee development and turnover intention: theory validation (2013)Employee turnover prediction and retention policies design: a case study (2017)A meta-analysis of the antecedents of teacher turnover and retention (2024)A Theory of Cognitive Dissonance (1957)Conservation of resources: A new attempt at conceptualizing stress. (1989)Event System Theory: An Event-Oriented Approach to the Organizational Sciences (2015)A Theory of Cognitive Dissonance (2017)Job attitudes, job satisfaction, and job affect: A century of continuity and of change. (2017)One hundred years of employee turnover theory and research. (2017)Prediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)Employee Turnover Prediction with Machine Learning: A Reliable Approach (2018)An Improved Random Forest Algorithm for Predicting Employee Turnover (2019)Human Resource Management: Theory and Practice (1999)Human resource management: theory and practice (2017)Predicting Employee Attrition Using Machine Learning Techniques (2020)Understanding The Small Business Sector (2016)Job satisfaction and employee turnover determinants in high contact services: Insights from Employees’Online reviews (2019)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)
this work references cited by second hop

References

  • 2012When Employees Are Out of Step with Coworkers: How Job Satisfaction Trajectory and Dispersion Influence Individual- and Unit-Level Voluntary Turnover203 cited
  • 2006Turnover Intentions of the Faculty at a Teaching-Focused University34 cited

Cited by

  • 2021Predicting Employee Attrition using Supervised Learning Classification Models17 cited
  • 2021Employee Attrition Prediction Using Machine Learning Algorithms16 cited
  • 2025An integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence15 cited
  • 2025An Explainable Machine Learning-Based Employee Attrition Predictive System14 cited
  • 2022Detection and Identification of Employee Attrition Using a Machine Learning Algorithm13 cited

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