The “Good Bad” Job Explained: How Algorithmic Management Wins Worker Consent

Описание: Dr. Lindsey Cameron, Assistant Professor of Management and Dorinda and Mark Winkelman Distinguished Faculty Scholar at the Wharton School, University of Pennsylvania, explores her research in “The Making of the ‘Good Bad’ Job: How Algorithmic Management Manufactures Consent Through Constant and Confined Choices.”

Dr. Lindsey Cameron, Assistant Professor of Management at the Wharton School, University of Pennsylvania, examines how algorithmic management reshapes work in the gig economy through her long-running ethnographic research in ride-hailing. She argues that many platform-mediated roles function as “good bad jobs”: structurally “bad” because they can involve lower pay, heightened risk, precarity, and limited protections, yet experienced as “good” because workers often report flexibility, autonomy, and a sense of empowerment.

A key mechanism is what she describes as a choice architecture of constant, confined decisions, frequent micro-choices that feel like control and skill, even as they keep workers tightly guided by the platform’s managerial logic and incentives.

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