DC FieldValueLanguage
dc.contributor.authorLykourentzou, Ioanna-
dc.contributor.authorAntoniou, Angeliki-
dc.contributor.authorNaudet, Yannick-
dc.contributor.authorDow, Steven P.-
dc.date.accessioned2023-11-03T10:59:42Z-
dc.date.available2023-11-03T10:59:42Z-
dc.date.issued2016-02-27-
dc.identifierscopus-84963540834-
dc.identifier.isbn9781450335928-
dc.identifier.other84963540834-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/853-
dc.description.abstractWhen personalities clash, teams operate less effectively. Personality differences affect face-to-face collaboration and may lower trust in virtual teams. For relatively short-lived assignments, like those of online crowdsourcing, personality matching could provide a simple, scalable strategy for effective team formation. However, it is not clear how (or if) personality differences affect teamwork in this novel context where the workforce is more transient and diverse. This study examines how personality compatibility in crowd teams affects performance and individual perceptions. Using the DISC personality test, we composed 14 five-person teams (N=70) with either a harmonious coverage of personalities (balanced) or a surplus of leader-type personalities (imbalanced). Results show that balancing for personality leads to significantly better performance on a collaborative task. Balanced teams exhibited less conflict and their members reported higher levels of satisfaction and acceptance. This work demonstrates a simple personality matching strategy for forming more effective teams in crowdsourcing contexts.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.ispartofProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computingen_US
dc.subjectCrowsourcingen_US
dc.subjectPersonality-based balancingen_US
dc.subjectTeam formationen_US
dc.titlePersonality matters: Balancing for personality types leads to better outcomes for crowd teamsen_US
dc.typeConference Paperen_US
dc.relation.conference19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. San Franciscoen_US
dc.identifier.doi10.1145/2818048.2819979en_US
dc.identifier.scopus2-s2.0-84963540834-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage260en_US
dc.identifier.epage273en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-3452-1168-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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