Motivation System on Prediction Market
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F16%3A43929276" target="_blank" >RIV/49777513:23510/16:43929276 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_34" target="_blank" >http://dx.doi.org/10.1007/978-3-319-45246-3_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_34" target="_blank" >10.1007/978-3-319-45246-3_34</a>
Alternative languages
Result language
angličtina
Original language name
Motivation System on Prediction Market
Original language description
Prediction Market serves as an alternative tool mainly applied to gather the information widespread among the numerous experts. This tool can be used as a supplementary teaching aid in the financial engineering courses. The outcomes of selected markets give also the useful continuous feedback to the teachers. The contribution is the focus on motivational and incentive system. The prediction market inflation is introduced as motivation tool. The participants' activity is analyzed by the influence of inflation engagement. Two groups of market participants are compared with respect to participants' activity and inflation administration in the experiment. The comparison is maintained on the same market in the same conditions for all participants. The implemented system of signals allows to apply inflation only to the selected group and in the selected periods during the experiments. Finally, the increased number of the active shares on the counts of the participants' activity is considered.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
LNAI 9875 Computational Collective Intelligence Part II
ISBN
978-3-319-45245-6
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
354-363
Publisher name
Springer
Place of publication
Switzerland
Event location
Halkidiki, Greece
Event date
Sep 28, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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