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Personality traits and performance in online labour markets
Behaviour & Information Technology ( IF 3.7 ) Pub Date : 2020-09-07 , DOI: 10.1080/0144929x.2020.1815840
Evangelos Mourelatos 1 , Nicholas Giannakopoulos 1 , Manolis Tzagarakis 1
Affiliation  

ABSTRACT

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.



中文翻译:

在线劳动力市场中的人格特征和表现

摘要

我们通过在著名的在线众包平台上进行准实验来调查非认知技能对特定任务结果质量的影响。我们表明,员工的绩效因人格特征、性别、人力资本、众包经验和工作努力而异。关于非认知技能的影响,我们发现工人在在线微任务中的表现与外向性和随和性呈正相关。当根据任务完成时间调整绩效时,外向者的积极影响也会显现出来。这些发现为在线劳动力匹配平台中的选择机制整合提供了启示,旨在揭示微型工人的软技能以提高绩效,从而在在线微型任务中分配资源。

更新日期:2020-09-07
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