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A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation

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References

1984A review and meta-analysis of research on the relationship between behavioral intentions and employee turnover.1,060 cited
1987Unemployment, job satisfaction, and employee turnover: A meta-analytic test of the Muchinsky model.635 cited
1986Employee Turnover: A Meta-Analysis and Review with Implications for Research593 cited
1994Artificial neural network models for forecasting and decision making450 cited
2020Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations421 cited
2010Collective Turnover at the Group, Unit, and Organizational Levels: Evidence, Issues, and Implications398 cited
2013Impact of Job Burnout on Satisfaction and Turnover Intention313 cited
2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms243 cited
2009The impact of job performance on employee turnover intentions and the voluntary turnover process239 cited
2015Artificial Intelligence Techniques in Human Resource Management—A Conceptual Exploration224 cited
2023Personalized human resource management via HR analytics and artificial intelligence: Theory and implications211 cited
2001Unweaving leaving: the use of models in the management of employee turnover147 cited
2019Predicting manufacturing employee turnover intentions126 cited
1997Predicting Employee Turnover From Communication Networks

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104 cited

2012The Impact of Human Resource Management on State Government IT Employee Turnover Intentions101 cited

2004Employee turnover: a neural network solution100 cited

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