Titelangaben
Gimpel, Henner ; Teschner, Florian:
Market-Based Collective Intelligence in Enterprise 2.0 Decision Making.
2014
Veranstaltung: Collective Intelligence 2014
, June 10-12, 2014
, Boston, MA, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Paper
)
Abstract
In the context of Enterprise 2.0 collective intelligence approaches, we explore the usage of prediction markets as organizational decision support tool. Such markets typically involve market participants (i.e. experts) with a vested interest in the decision. Simply carrying over knowledge on prediction markets to the design of such decision markets might be premature. To back this hypothesis, we build on theory and evidence on prediction markets, decision markets, and market manipulation, and test the key theoretical predictions in a lab experiment.
Our data suggest that indeed, people who have a stake in the decision manipulate the market and partially corrupt information aggregation. More precisely, we show how different designs of the principal’s decision rule affect manipulation, information aggregation, and decision quality. In a nutshell, we find that the common practice is better than random but worse than an alternative design.
Weitere Angaben
Publikationsform: | Veranstaltungsbeitrag (Paper) |
---|---|
Begutachteter Beitrag: | Ja |
Keywords: | prediction markets; electronic markets; information aggregation; manipulation; experiments |
Institutionen der Universität: | Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre Forschungseinrichtungen Forschungseinrichtungen > Institute in Verbindung mit der Universität Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Kernkompetenzzentrum Finanz- & Informationsmanagement Fakultäten Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät |
Titel an der UBT entstanden: | Nein |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 300 Sozialwissenschaften > 330 Wirtschaft |
Eingestellt am: | 14 Sep 2018 06:57 |
Letzte Änderung: | 14 Sep 2018 06:57 |
URI: | https://eref.uni-bayreuth.de/id/eprint/45787 |