Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/66414

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dc.contributor.authorUahi, Robbiepor
dc.contributor.authorPereira, José Luíspor
dc.contributor.authorVarajão, Joãopor
dc.date.accessioned2020-08-07T21:47:20Z-
dc.date.issued2018-
dc.identifier.isbn9783319777023por
dc.identifier.issn2194-5357-
dc.identifier.urihttps://hdl.handle.net/1822/66414-
dc.description.abstractBPMS (Business Process Management Systems) are responsible for the execution of business process models, by delivering work activities to suitable agents (human or automatisms) that execute them. During the design-time, modelers have to specify the potential performers of a work activity according to their organizational position or role. Once several workers may share the same role, during run-time all of them can be assigned by BPMS to execute a work activity. However, distinct persons have different personality traits and, in a specific piece of work (for instance, requiring special teamwork skills), some of them can perform better than others. Addressing a gap in theory and practice of BPMS, in this paper we present a new approach that enables BPMS to assign (in run-time) the most suitable workers to perform specific work activities, grounded on the concept of psychological profile and taking into account technical, human and social aspects.por
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia, within the Strategic Project plan PEst2015-2020, UID/CEC/00319/2013.por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.rightsrestrictedAccesspor
dc.subjectBPMSpor
dc.subjectHuman resourcespor
dc.subjectPersonality Assessment Frameworkspor
dc.subjectTask allocationpor
dc.titleImproving work allocation practices in business processes supported by BPMSpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
oaire.citationStartPage989por
oaire.citationEndPage995por
oaire.citationVolume745por
dc.date.updated2020-08-07T14:14:41Z-
dc.identifier.doi10.1007/978-3-319-77703-0_96por
dc.date.embargo10000-01-01-
sdum.export.identifier5849-
sdum.journalAdvances in Intelligent Systems and Computingpor
oaire.versionAMpor
Aparece nas coleções:DSI - Engenharia e Gestão de Sistemas de Informação

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