Investigating the performance of food delivery riders through work system and stress-coping approach
本研究采用工作系统模型和压力应对模型，调查菲律宾布拉干省270名外卖骑手，发现睡眠质量、心理负荷、极端天气和工作经验显著影响其绩效，为制定提升骑手福祉和绩效的政策提供依据。
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.