Titelangaben
Teschner, Florian ; Gimpel, Henner:
Crowd Labor Markets as Platform for IS Research : First Evidence from Electronic Markets.
In:
Reshaping society through information systems design : 34th International Conference on Information Systems, ICIS 2013 ; Milan, Italy, 15 - 18 December 2013. Volume 2. -
Red Hook, NY
: Curran
,
2014
. - S. 976-983
ISBN 978-1-62993-426-6
Abstract
Crowd labor markets such as Amazon Mechanical Turk (MTurk) have emerged as popular platforms where researchers can inexpensively run web-based experiments. Recent work even suggests that MTurk can be used to run large-scale field experiments such as prediction markets in which participants interact synchronously in real-time. Besides technical issues, several methodological questions arise and lead to the question of how results from MTurk and laboratory experiments compare. In this work we provide first insights into running market experiments on MTurk and compare the key property of markets, information efficiency, to a laboratory setting. The results are mixed at best. On MTurk, information aggregation took place less frequently than in the lab. Our results suggest that MTurk participants cannot handle as much complexity as laboratory participants in time-pressured, synchronized experiments.
Weitere Angaben
Publikationsform: | Aufsatz in einem Buch |
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Begutachteter Beitrag: | Ja |
Keywords: | IS research methodologies; experimental economics; market engineering; market performance |
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 07:13 |
Letzte Änderung: | 11 Apr 2022 12:07 |
URI: | https://eref.uni-bayreuth.de/id/eprint/45792 |