Personality traits and performance in online labour markets
Evangelos Mourelatos,
Nicholas Giannakopoulos () and
Manolis Tzagarakis
Behaviour and Information Technology, 2022, vol. 41, issue 3, 468-484
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.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2020.1815840 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:3:p:468-484
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2020.1815840
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().