Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/194589 
Year of Publication: 
2019
Series/Report no.: 
GLO Discussion Paper No. 338
Publisher: 
Global Labor Organization (GLO), Essen
Abstract: 
In this paper we investigate the impact of non-cognitive skills on the quality of task-specific outcomes by conducting a quasi-experiment on a well-known online crowdsourcing platform. We show that a worker’s performance varies with personality traits, gender, human capital, crowdsourcing experience and work effort. Regarding the effects of non-cognitive skills, we find that workers’ performance in online microtasks is positively related to extraversion and agreeableness. The positive impact of extroverts is also revealed when performance is adjusted for task completion time. These findings provide implications regarding the integration of selection mechanisms in online labour matching platforms aiming in uncovering microworkers soft skills to improve performance and consequently the allocation of resources in online microtasks.
Subjects: 
Crowdsourcing
online labour
quality of work
cognitive abilities
personality traits
workers
JEL: 
O33
J40
J24
Document Type: 
Working Paper

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