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DC poleHodnotaJazyk
dc.contributor.authorGangur, Mikuláš
dc.date.accessioned2019-03-11T11:00:13Z-
dc.date.available2019-03-11T11:00:13Z-
dc.date.issued2018
dc.identifier.citationGANGUR, M. In-house Prediction Markets and their Extension in Czech Republic. In: Proceedings of the International Scientific Conference of Business Economics, Management and Marketing 2018. Brno: Masaryk University, 2018. s. 90-97. ISBN 978-80-210-9164-1.en
dc.identifier.isbn978-80-210-9164-1
dc.identifier.urihttp://hdl.handle.net/11025/31262
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMasaryk Universityen
dc.relation.ispartofseriesProceedings of the International Scientific Conference of Business Economics, Management and Marketing 2018en
dc.rightsPlný text není přístupný.cs
dc.rights© Masaryk universityen
dc.titleIn-house Prediction Markets and their Extension in Czech Republicen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessclosedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedElectronic virtual markets can serve as an alternative tool for gathering information that is spread among numerous experts. Information is basic element of decision support system as part of enterprise information system. These in-house prediction markets can be important part of business management. The contribution presents the results of research on the use of predication markets in enterprises and awareness of their potential in Czech Republic. These results are compared with the results of the global survey by McKinsey. The survey within the Czech Republic was carried out twice with a period of 4 years and the results of these surveys were compared.en
dc.subject.translatedvirtual electronic market, prediction market, Web 2.0, decision support system.en
dc.type.statusPeer-revieweden
dc.identifier.obd43924648
dc.project.IDSGS-2018-042/Aplikace kvantitativních metod v ekonomiics
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference papers (KEM)
OBD

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