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Crowd Labor Markets as Platform for IS Research : First Evidence from Electronic Markets

Title data

Teschner, Florian ; Gimpel, Henner:
Crowd Labor Markets as Platform for IS Research : First Evidence from Electronic Markets.
Event: 34th International Conference on Information Systems (ICIS) , 15.-18. Dez. 2013 , Milan, Italy.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: IS research methodologies; experimental economics; market engineering; market performance
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Sep 2018 07:13
Last Modified: 14 Sep 2018 07:13
URI: https://eref.uni-bayreuth.de/id/eprint/45792