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...

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Publicado en:Behaviour & Information Technology Vol. 41; no. 3; pp. 468 - 485
Autores principales: Mourelatos, Evangelos, Giannakopoulos, Nicholas, Tzagarakis, Manolis
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Feb2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2022
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/0144929X.2020.1815840
        156293435
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        atl: Personality traits and performance in online labour markets.
      aug:
        au:
          Mourelatos, Evangelos
          Giannakopoulos, Nicholas
          Tzagarakis, Manolis
        affil: Department of Economics, University of Patras, Patras, Greece
      sug:
        subj:
          Electronic Commerce
          Crowdsourcing
          Personality
          Employees Psychosocial Factors
          Cognition Evaluation
          Job Performance Evaluation
          Job Market
          Task Performance and Analysis
          Sociodemographic Factors
          Human
          Quasi-Experimental Studies
          Male
          Female
          Job Experience
          Experimental Studies
          Interpersonal Relations
          Conscience
          Descriptive Statistics
          Sex Factors
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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