Working with algorithmic management: Design logic, algorithmic unfitness, and labor repair behind the wall

Abstract

The current literature on algorithmic management primarily explores its external ramifications for workers. Drawing upon the case of Meituan Waimai, China’s dominant food-delivery platform, this article delves into the internal logic that guides the design of algorithmic management. I highlight how an optimal mindset and a mechanized view of human labor drive the formulation of algorithmic management, leading to what I call “algorithmic unfitness.” This concept represents a dissonance between algorithmically programmed, reductionist visions of food delivery and real-world experiences on the ground. In response, the platform constantly delegates tasks from machines to laborers who engage in repair work. The design logic positions couriers as adaptable robots, whose compliance and flexibility are simultaneously requested by the platform. By shedding light on the design choices behind algorithmic management, the article also offers methodological insights for scholars researching algorithmic power in general.