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HR ANALYTICS IN ACTION: TACKLING EMPLOYEE TURNOVER IN MALAYSIAS LOGISTICS & TRANSPORT INDUSTRY

Journal: International Journal of Advanced Research (Vol.13, No. 02)

Publication Date:

Authors : ;

Page : 104-112

Keywords : HR Analytics Employee Turnover Logistics and Transport;

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Abstract

The logistics and transport industry in Malaysia faces high employee turnover, which disrupts operations, increases hiring costs, and reduces efficiency. HR analytics offers a strategic solution by using data-driven approaches to identify turnover risks and improve retention. Predictive analytics can assess resignation risks based on job satisfaction, workload, and external factors, while workforce planning optimises talent management. Real-time HR data provides insights into employee well-being and engagement, enabling timely interventions. By integrating HR analytics into human capital strategies, organisations can reduce turnover, enhance workforce stability, and foster a data-driven culture, ultimately improving employee satisfaction, reducing disruptions, and boosting long-term profitability.

Last modified: 2025-03-21 18:50:55