Algorithmic Management Shapes Gig Work, Manufactures Consent Amid Mobility Fears
The big picture: New research highlights how algorithmic management in gig work shapes worker choices, often for individuals striving to prevent downward economic mobility.
Why it matters: Staffing and HR leaders need to grasp how platform control influences worker autonomy, retention, and the evolving definition of "good" jobs within the contingent workforce.
Between the lines:
- Research was inspired by personal experiences with "OG gig work" and age discrimination.
- Study evolved to focus on organizational aspects of gig companies like Uber and DoorDash.
- Examines how constant, confined choices can manufacture worker consent within these systems.
Staffing & HR impact: Algorithmic control impacts strategies for attracting and retaining contingent talent, potentially affecting worker satisfaction and operational efficiency. HR compliance may face new challenges regarding worker classification and fair labor practices.
The bottom line: Algorithmic management is fundamentally reshaping worker agency and the nature of employment in the modern economy.
