Data-driven analysis clarifies overtime's impact on productivity in Pakistan’s textile industry, suggesting implications for workforce management.
HRMARS - This research examines the relationship between overtime and employee output within Pakistan’s textile industry. While previous studies have offered mixed conclusions, some suggesting that overtime enhances productivity, others claiming it undermines performance, this study seeks to empirically clarify the relationship through primary data collected from workers and managers in multiple textile organizations. The primary objective is to determine whether overtime positively or negatively influences output and to identify the key motivational and organizational factors associated with it. Overtime and output are conceptualized according to their operational meaning in the corporate sector and explored in detail within this paper. The study investigates how both workers and managers perceive overtime, the legal framework that governs overtime practices, and the extent to which organizational culture and compensation incentives shape employee participation. Factors such as monetary rewards, compensatory leave, and managerial expectations are analyzed to understand their combined effect on performance and productivity outcomes. Primary data were obtained through structured questionnaires distributed among laborers across various textile units. The responses were compiled and analyzed using descriptive methods to reveal significant patterns in behavior and perception. The findings indicate that overtime, while often driven by financial incentives, can result in fatigue, reduced efficiency, and diminished long-term productivity. The study concludes that sustainable performance requires balanced workload management supported by data-driven human resource policies and improved monitoring of overtime practices.
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Sahar Ejaz (2026) studied this question.
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