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Employee Attrition Analysis Using Predictive Techniques · Study

WorkEmployee Attrition Analysis Using Predictive Techniques

Devesh Kumar Srivastava2017

Work2017

Employee Attrition Analysis Using Predictive Techniques

Devesh Kumar Srivastava · Priyanka Nair

50 citations·0/0 files stored·Smart innovation, systems and technologies

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AI and HR Technologies Online Learning and Analytics Customer churn and segmentation

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References

1986Employee Turnover: A Meta-Analysis and Review with Implications for Research 2000Turnover: The Real Bottom Line 2010Employee churn prediction 2001Test of a mediated performance-turnover relationship highlighting the moderating roles of visibility and reward contingency.2012Domain driven data mining in human resource management: A review of current research 2018Society for Human Resource Management (SHRM)2008Data mining techniques for better decisions in human resource management systems 2013ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS

Cited by

2021Machine Learning for Predicting Employee Attrition 2022Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data 2024Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI 2022Predictive Modeling of Employee Churn Analysis for IoT-Enabled Software Industry 2022Identification of human resource analytics using machine learning algorithms

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2020Predicting Employee Attrition along with Identifying High Risk Employees using Big Data and Machine Learningother · 4 shared references 2018Predicting Employee Attrition using XGBoost Machine Learning Approachother · 3 shared references 2010A critical review of employee turnover model (1938- 2009) and development in perspective of performance.review · 3 shared references 2011Turnover intentionsarticle · 2 shared references 2013Employee development and turnover intention: theory validationarticle · 2 shared references 2003Ensuring Employment Equity: Are Federal Diversity Programs Making a Difference?article · 2 shared references

Details

Year2017

Typeother

Published2017-08-07

VenueSmart innovation, systems and technologies

ISSN-L2190-3018

Languageen

Citations50

Files0 public / 0

ShelfAI and HR Technologies

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doi10.1007/978-3-319-63673-3_35

openalex_workW2743595002

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2024

Predicting Employee Attrition through HR Analytics: A Machine Learning Approach

2022Immunize Your Organization