Investigating the performance of food delivery riders through work system and stress-coping approach

While the continuous growth of food delivery services brings convenience to customers, this work sector faces challenges related to well-being and performance. This study adopted Work System Model and Transactional Model of Stress and Coping to investigate the significant predictors of performance outcomes among food delivery riders in Bulacan, Philippines. It aimed to examine the effects of individual factors, work-related stressors, ergonomic factors, and coping strategies on performance metrics. The methodology involved a cross-sectional design, covering 270 randomly selected riders. Ordinal Logistic Regression was used to model the causal relationships between the predictor and response variables. The findings reveal common significant factors affecting performance metrics, such as sleep quality, level of mental workload, extreme weather conditions, and years of work experience. These findings contribute to a deeper understanding of the work system of food delivery riders and provide insights for creating policies to enhance well-being and overall performance.