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dc.contributor.authorKeller, Thomas-
dc.contributor.authorSavarimuthu, Bastin Tony Roy-
dc.date.accessioned2019-11-07T16:00:35Z-
dc.date.available2019-11-07T16:00:35Z-
dc.date.issued2016-
dc.identifier.isbn978-1-5108-2252-8de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18663-
dc.description.abstractDecision making in complex and volatile business environments is still the realm of human decision makers since their knowledge and experience are paramount in making good decisions. The standard run-of-the-mill automation approaches for making decisions do not work well in these contexts. This paper investigates the use of a socially-inspired norm inference mechanism proposed in the area of multi-agent systems to assist human users to make decisions. Using simulation results the paper demonstrates that using the norm-based mechanism results in reduced failure rates in the decision making of a knowledge worker while still providing maximum flexibility for the user to choose from a range of actions to execute.de_CH
dc.language.isoende_CH
dc.publisherCurran Associatesde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectNorm inferencede_CH
dc.subjectProcess miningde_CH
dc.subjectOperational decision supportde_CH
dc.subject.ddc658.4: Leitendes Managementde_CH
dc.titleA social norms based approach for enhancing decision support in business process executionde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.publisher.placeNew Yorkde_CH
zhaw.conference.detailsCATA 2016, Las Vegas, USA, 4 - 6 April 2016de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end144de_CH
zhaw.pages.start137de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedingsProceedings of the 31st International Conference on Computers and Their Applications (CATA 2016)de_CH
zhaw.author.additionalNode_CH
Appears in collections:Publikationen School of Management and Law

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