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In-house Prediction Markets and their Extension in Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F18%3A43953649" target="_blank" >RIV/49777513:23510/18:43953649 - isvavai.cz</a>

  • Result on the web

    <a href="https://webcentrum.muni.cz/media/3126660/iscobemm-2018-206.pdf" target="_blank" >https://webcentrum.muni.cz/media/3126660/iscobemm-2018-206.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    In-house Prediction Markets and their Extension in Czech Republic

  • Original language description

    Electronic 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the International Scientific Conference of Business Economics, Management and Marketing 2018

  • ISBN

    978-80-210-9164-1

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    90-97

  • Publisher name

    Masaryk University

  • Place of publication

    Brno

  • Event location

    Prušánky-Nechory

  • Event date

    Sep 6, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article