Responsible team players wanted

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorCalanca, Federica
dc.contributor.authorSayfullina, Luiza
dc.contributor.authorMinkus, Lara
dc.contributor.authorWagner, Claudia
dc.contributor.authorMalmi, Eric
dc.contributor.departmentSapienza University of Rome
dc.contributor.departmentProfessorship Kannala Juho
dc.contributor.departmentUniversity of Bremen
dc.contributor.departmentLeibniz Institute for the Social Sciences
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2019-06-03T14:15:42Z
dc.date.available2019-06-03T14:15:42Z
dc.date.issued2019-04-27
dc.description.abstractDuring the past decades the importance of soft skills for labour market outcomes has grown substantially. This carries implications for labour market inequality, since previous research shows that soft skills are not valued equally across race and gender. This work explores the role of soft skills in job advertisements by drawing on methods from computational science as well as on theoretical and empirical insights from economics, sociology and psychology. We present a semi-automatic approach based on crowdsourcing and text mining for extracting a list of soft skills. We find that soft skills are a crucial component of job ads, especially of low-paid jobs and jobs in female-dominated professions. Our work shows that soft skills can serve as partial predictors of the gender composition in job categories and that not all soft skills receive equal wage returns at the labour market. Especially “female” skills are frequently associated with wage penalties. Our results expand the growing literature on the association of soft skills on wage inequality and highlight their importance for occupational gender segregation at labour markets.en
dc.description.versionPeer revieweden
dc.format.extent1-20
dc.format.mimetypeapplication/pdf
dc.identifier.citationCalanca , F , Sayfullina , L , Minkus , L , Wagner , C & Malmi , E 2019 , ' Responsible team players wanted : an analysis of soft skill requirements in job advertisements ' , EPJ Data Science , vol. 8 , no. 1 , 13 , pp. 1-20 . https://doi.org/10.1140/epjds/s13688-019-0190-zen
dc.identifier.doi10.1140/epjds/s13688-019-0190-z
dc.identifier.issn2193-1127
dc.identifier.otherPURE UUID: 91b11ca1-b5ed-4703-a193-94142287bbb5
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/91b11ca1-b5ed-4703-a193-94142287bbb5
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85065017590&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/33890892/s13688_019_0190_z.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/38318
dc.identifier.urnURN:NBN:fi:aalto-201906033403
dc.language.isoenen
dc.publisherSpringer Science + Business Media
dc.relation.ispartofseriesEPJ Data Scienceen
dc.relation.ispartofseriesVolume 8, issue 1en
dc.rightsopenAccessen
dc.subject.keywordComputational social science
dc.subject.keywordCrowdsourcing
dc.subject.keywordGender inequality
dc.subject.keywordJob advertisement
dc.subject.keywordLabour markets
dc.subject.keywordSoft skills
dc.subject.keywordText mining
dc.titleResponsible team players wanteden
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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