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dc.contributor.authorHansen, Morten Juel
dc.contributor.authorVaagen, Hajnalka
dc.date.accessioned2017-06-29T14:41:40Z
dc.date.available2017-06-29T14:41:40Z
dc.date.created2016-12-13T12:26:27Z
dc.date.issued2016
dc.identifier.citationProcedia Computer Science. 2016, 100 840-847.nb_NO
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/11250/2447398
dc.description.abstractProject performance is contingent upon the continuous ability of key decision-makers to collaborate effectively when solving emerging complex problems. In settings of large and complex projects, the ability to make sound decisions collectively across multiple tasks and phases increases in importance. Experimental studies have pointed to the existence of collective intelligence, i.e. the ability of groups to perform well across a variety of tasks. Nevertheless, we are not close to a process theory that clarifies why and how some groups are more ‘intelligent’ than are others, i.e. why and how they are better at solving a variety of complex problems. In order to answer these questions, we conduct an exploratory study of the drivers and manifestations of collective intelligence among a group of key decision makers in a large and dynamically complex project. The study reveals how these decision makers in general demonstrate a collective ability to solve a wide range of emerging problems in this project. This problem solving ability is characterized by very short and direct (face to face) lines of communication, the combination of divergent and convergent modes of thought, and small subgroups that are formed spontaneously dependent on the problem at hand and the expertise required to solve it. Keywords Project managementdynamic complexitycollective intelligencejudgementdecision-makingproblem solvingnb_NO
dc.language.isoengnb_NO
dc.titleCollective Intelligence in Project Groups: Reflections from the Fieldnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber840-847nb_NO
dc.source.volume100nb_NO
dc.source.journalProcedia Computer Sciencenb_NO
dc.identifier.doihttp://dx.doi.org/10.1016/j.procs.2016.09.233
dc.identifier.cristin1412068
dc.description.localcode1,OAnb_NO
cristin.unitcode158,4,0,0
cristin.unitnameInstitutt for ledelse og organisasjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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