Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Using hybrid data mining and machine learning clustering analysis to predict the turnover rate for technology professionals

9 references·12 citing·45 second hop

FromToDepth

this work references cited by second hop

References

1977Intermediate linkages in the relationship between job satisfaction and employee turnover.2,489 cited
1979Review and conceptual analysis of the employee turnover process.2,249 cited
1978An evaluation of precursors of hospital employee turnover.1,772 cited
1982Causes of employee turnover: A test of the Mobley, Griffeth, Hand, and Meglino model.802 cited
2009Employee retention and turnover: Using motivational variables as a panacea353 cited
1982Turnover Overstated: The Functional Taxonomy282 cited
1975Predicting turnover of employees from measured job attitudes251 cited
1979Evaluation of the Mobley, Horner, and Hollingsworth model of employee turnover.238 cited
1974Predicting absenteeism and turnover: A field comparison of Fishbein's model and traditional job attitude measures.184 cited

Cited by

2020A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning64 cited
2023A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review62 cited
2015A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing)56 cited
2022Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data41 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2018

Prediction of Employee Promotion Based on Personal Basic Features and Post Features

29 cited

2019Employee Turnover Prediction Using Machine Learning29 cited

2023AI in HRM: case study analysis. Preliminary research27 cited

2024Examining the Role of AI-Augmented HRM for Sustainable Performance: Key Determinants for Digital Culture and Organizational Strategy27 cited

2023Human resources analytics in practice: A knowledge discovery process23 cited

2023May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE23 cited

2021Churn Prediction of Employees Using Machine Learning Techniques20 cited

2023Optimising Customer Segmentation in Digital Marketing Using Predictive Analytics: A Review of Literature9 cited