An Predictive Analysis on Effectiveness of Employee Retention Strategies at Luke Export, Padanthalumoodu, Kanyakumari

  • A K Naveena II MBA, Department of Management Studies St. Xavier’s Catholic College of Engineering (Autonomous) Chunkankadai, Nagercoil,TamilNadu, India
  • D. Sahaya Beula Assistant Professor, Department of Management Studies, St. Xavier’s Catholic College of Engineering (Autonomous) Chunkankadai, Nagercoil,TamilNadu, India
Keywords: Employee Retention, Factor Analysis, Predictive Analysis, Trend Analysis, Linear Prediction Method, Job Satisfaction, HR Analytics

Abstract

This study examines the effectiveness of employee retention strategies at Luke Export, Padanthalumoodu using both primary and secondary data. Primary data were collected from employees through a structured questionnaire, and secondary data were obtained from past HR records. The study uses only factor analysis and trend analysis as the main tools. Factor analysis is used to identify the key factors influencing employee retention, while trend analysis is applied using the linear prediction method to forecast employee turnover rates over time. The results show that employee retention is mainly influenced by factors such as job satisfaction, career growth opportunities, work environment, and compensation. The trend analysis indicates variations in employee turnover over different time periods. The linear prediction model shows a declining trend in employee turnover, with forecasts indicating a reduction from 7.13 percent in 2026 to 4.15 percent by 2030, reflecting a positive future outcome with improved employee retention and organizational stability. The study concludes that strengthening job satisfaction, workplace conditions, and career growth opportunities can further enhance employee retention and support sustained organizational growth.

Published
2026-05-14
How to Cite
Naveena, A. K., & Sahaya Beula, D. (2026). An Predictive Analysis on Effectiveness of Employee Retention Strategies at Luke Export, Padanthalumoodu, Kanyakumari. Shanlax International Journal of Management, 13(S1-i1-May), 106-111. https://doi.org/10.34293/management.v13iS1-i1-May.10923