The Impact of Job Satisfaction, Compensation, and Work Environment on Employee Attrition: An Empirical Study Using HR Analytics

Abstract

Employee attrition has emerged as a major organizational challenge because of its direct effect on operational efficiency, overall monetary performance, and the stability of the team of workers. High attrition rates lead to expanded recruitment and education expenses, loss of experienced employees, and reduced normal productivity. In a highly aggressive business environment, keeping skilled personnel has grown to be a strategic priority for companies. With the developing availability of employee records, corporations are increasingly adopting HR analytics to apprehend and expect employee conduct. HR analytics permits companies to transport past conventional reactive tactics and undertake proactive strategies for managing team of workers demanding situations. This has a look at focuses on applying HR analytics techniques to investigate employee attrition and identify the important thing factors influencing employee turnover.

The studies adopt a quantitative technique the use of a structured HR dataset that consists of employee demographic, behavioural, and activity-associated variables. records preprocessing techniques which include encoding, normalization, and class balancing have been applied to ensure the reliability of outcomes. The examine utilizes 3 devices getting to know fashions—Logistic Regression, Random woodland, and Gradient Boosting—to expect employee attrition. The performance of those fashions is evaluated the usage of metrics which includes accuracy, precision, don't forget, F1-score, and ROC-AUC.

The findings of the examine indicate that factors including beyond regular time, activity pleasure, earnings level, and tenure appreciably affect worker attrition. employees experiencing excessive workload and occasional delight degrees are much more likely to go away the enterprise. a few of the fashions used, Logistic Regression tested a better balance between prediction and interpretability, while Random woodland showed better accuracy but limitations in identifying real attrition instances.The observe concludes that employee attrition isn't a random prevalence but a predictable final result encouraged by means of measurable variables. The insights derived from this have a look at can help corporations design focused retention strategies and improve selection-making thru the powerful use of HR analytics.