Productivity outcomes in online labor markets and within-task complexity and difficultly

Autor: Mourelatos, Evaggelos, Giannakopoulos, Nicholas, Tzagarakis, Manolis
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Popis: We analyze the impact of within-task difficulty and complexity on workers' productivity in online labor markets. Using a randomized control quasi-experiment in AMT we are able to define the difficulty and complexity embodied in requested sub-tasks within a problem-solved task. We find that our productivity measures are negatively related to the difficulty and complexity of a specific sub-task. This finding is robust to several sources of workers' heterogeneity and to different pay schemes.
Databáze: OpenAIRE