Online labor market platforms such as Fiverr, Handy, Uber, and Upwork have transformed the economy since the late 1990s, introducing a new evaluation method based on customer ratings. This contrasts sharply with traditional performance evaluations that involve supervisors and peers over longer periods using multiple criteria. The shift towards quick, single-dimension ratings raises concerns about the depth and fairness of worker assessments. The article examines the implications of this shift on worker performance and management practices, exploring how evaluation structures impact career outcomes and inequalities in the gig economy.
The shift to customer ratings for evaluating workers on platforms like Uber and Upwork has streamlined performance assessments but lacks the depth of traditional evaluations.
Customer evaluations are typically quick and focused on one dimension, starkly contrasting with traditional evaluations that consider multiple dimensions over time.
#gig-economy #performance-evaluation #customer-ratings #organizational-behavior #management-practices
Collection
[
|
...
]