Gender-Adaptive Algorithmic Management Practices

This dataset contains video-based experimental materials designed to manipulate Gender-Adaptive Algorithmic Management Practices in platform work settings. The materials simulate platform rule announcements across four functional dimensions of algorithmic management: task matching, directional guidance, performance evaluation, and disciplinary regulation.The high-adaptation condition emphasizes contextual responsiveness to female delivery riders’ physical capacity, safety risks, caregiving responsibilities, and physiological considerations. It incorporates adaptive matching mechanisms, safety support features, evaluation flexibility, and disciplinary buffering measures.The low-adaptation condition reflects a standardized and uniform control logic, prioritizing efficiency and consistency without incorporating gender-based contextual considerations.The materials were developed through expert validation and pilot testing to ensure construct validity. This dataset supports research on algorithmic management, gig work, gender and organizational behavior.