Personality traits and performance in online labour markets.
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 worker's performance varies with personality traits, gender, human capital, crowdsourcing experience and work effort...
| Publicado en: | Behaviour & Information Technology Vol. 41; no. 3; pp. 468 - 485 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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 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 worker's 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 micro-workers' soft skills to improve performance and consequently the allocation of resources in online microtasks. |
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