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IDEM: A prediction market for idea management

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dc.contributor.author Bothos, E en
dc.contributor.author Apostolou, D en
dc.contributor.author Mentzas, G en
dc.date.accessioned 2014-03-01T02:52:00Z
dc.date.available 2014-03-01T02:52:00Z
dc.date.issued 2009 en
dc.identifier.issn 18651348 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35809
dc.subject Community innovation en
dc.subject Idea management en
dc.subject Prediction markets en
dc.subject.other Collaborative systems en
dc.subject.other Community innovation en
dc.subject.other Corporate environment en
dc.subject.other Idea management en
dc.subject.other Non-trivial tasks en
dc.subject.other Perceived usefulness en
dc.subject.other Prediction markets en
dc.subject.other Software systems en
dc.subject.other Electronic commerce en
dc.title IDEM: A prediction market for idea management en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-01256-3_1 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-01256-3_1 en
heal.publicationDate 2009 en
heal.abstract Collaborative systems and methods are used within corporate environments to support innovation and management of new ideas. The aggregation of innovation-related information from a community of users is a non-trivial task that requires the use of specialized collaborative systems and methods. In this paper we explore the use of Prediction Markets for community-based idea management and present IDEM, a software system that is used for generating and evaluating new ideas utilizing the concept of Prediction Markets. In addition to trading, IDEM supports users submit new ideas, rate and comment on them. Academic experiments and industrial pilots reveal the perceived usefulness of the system. © 2009 Springer Berlin Heidelberg. en
heal.journalName Lecture Notes in Business Information Processing en
dc.identifier.doi 10.1007/978-3-642-01256-3_1 en
dc.identifier.volume 22 LNBIP en
dc.identifier.spage 1 en
dc.identifier.epage 13 en


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