Research Paper#Algorithmic Management, Gig Economy, Double Machine Learning🔬 ResearchAnalyzed: Jan 4, 2026 00:21
Algorithmic Management's Nonlinear Impact on Gig Workers
Published:Dec 25, 2025 12:45
•1 min read
•ArXiv
Analysis
This paper addresses a crucial question about the future of work: how algorithmic management affects worker performance and well-being. It moves beyond linear models, which often fail to capture the complexities of human-algorithm interactions. The use of Double Machine Learning is a key methodological contribution, allowing for the estimation of nuanced effects without restrictive assumptions. The findings highlight the importance of transparency and explainability in algorithmic oversight, offering practical insights for platform design.
Key Takeaways
- •Algorithmic management's impact on gig workers is non-linear.
- •Transparency and explainability in algorithmic oversight are crucial.
- •Double Machine Learning provides a valuable method for analyzing complex relationships in organizational research.
- •Partially defined control can be detrimental; clear rules and recourse are beneficial.
Reference
“Supportive HR practices improve worker wellbeing, but their link to performance weakens in a murky middle where algorithmic oversight is present yet hard to interpret.”