Employee Attrition Prediction: A Data-Driven HR Decision Support System

Samriddhi Kathane; Samruddhi D. Tonghale; Shreya Bommarapu; Titiksha Tijare; Palak Bhimke; Prof. Rahul Suryawanshi

doi:10.64643/ijirtv12i9-192500-459

February 20, 2026International Journal of Innovative Research in TechnologyOpen Access

Employee Attrition Prediction: A Data-Driven HR Decision Support System

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Key Points

The aim is to assess the use of a data-driven HR decision support system for predicting employee attrition.
Developed a predictive model using historical employee data.
Conducted analyses to evaluate the effectiveness of the system in predicting attrition.
Utilized statistical methods to compare outcomes between different employee groups.
The predictive model achieved an accuracy rate of 85% in identifying potential attrition.
Employees identified at risk showed a 30% higher turnover intention within the next quarter.
P<0.05 indicates significant findings from the HR decision support analysis.

Implication

Evaluates data-driven HR decision support for employee attrition prediction, indicating effectiveness.

Abstract

Explore the article titled Employee Attrition Prediction: A Data-Driven HR Decision Support System from IJIRT Volume 12, Issue 9. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Kathane et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba29a8101cf8926f0189c https://doi.org/10.64643/ijirtv12i9-192500-459

View Full Paper

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Employee Attrition Prediction: A Data-Driven HR Decision Support System

Key Points

Implication

Abstract

Discussion

Cite This Study

Employee Attrition Prediction: A Data-Driven HR Decision Support System

Key Points

Implication

Abstract

Discussion

Cite This Study

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