Accessing knowledge with a game-a meta-analysis of prediction markets

Christian W. Scheiner; Philipp Haas; Niklas Leicht; Kai Ingo Voigt

doi:10.1109/WAINA.2013.162

Accessing knowledge with a game-a meta-analysis of prediction markets

Christian W. Scheiner, Philipp Haas, Niklas Leicht, Kai Ingo Voigt

Institute of Entrepreneurship and Business Development

Abstract

Prediction markets illustrate a promising solution to aggregate distributed knowledge playfully. Prediction markets are speculative markets. They are created to aggregate knowledge, which is distributed among the participants in the prediction market. Prediction markets have also been labeled as game market, decision market or virtual stock. The purpose of this study is to summarize recent studies according to the categories basic functionality, design, real or play money, implementation, success factors, and fields of application.

Original language	English
Title of host publication	Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Number of pages	6
Publisher	IEEE
Publication date	19.08.2013
Pages	1489-1494
Article number	6550607
ISBN (Print)	978-1-4673-6239-9
ISBN (Electronic)	978-0-7695-4952-1
DOIs	https://doi.org/10.1109/WAINA.2013.162
Publication status	Published - 19.08.2013
Event	27th International Conference on Advanced Information Networking and Applications Workshops - Barcelona, Spain Duration: 25.03.2013 → 28.03.2013

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10.1109/WAINA.2013.162

Cite this

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title = "Accessing knowledge with a game-a meta-analysis of prediction markets",

abstract = "Prediction markets illustrate a promising solution to aggregate distributed knowledge playfully. Prediction markets are speculative markets. They are created to aggregate knowledge, which is distributed among the participants in the prediction market. Prediction markets have also been labeled as game market, decision market or virtual stock. The purpose of this study is to summarize recent studies according to the categories basic functionality, design, real or play money, implementation, success factors, and fields of application.",

author = "Scheiner, {Christian W.} and Philipp Haas and Niklas Leicht and Voigt, {Kai Ingo}",

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booktitle = "Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013",

note = "27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 ; Conference date: 25-03-2013 Through 28-03-2013",

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Scheiner, CW, Haas, P, Leicht, N & Voigt, KI 2013, Accessing knowledge with a game-a meta-analysis of prediction markets. in Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013., 6550607, IEEE proceedings, IEEE, pp. 1489-1494, 27th International Conference on Advanced Information Networking and Applications Workshops, Barcelona, Spain, 25.03.13. https://doi.org/10.1109/WAINA.2013.162

Accessing knowledge with a game-a meta-analysis of prediction markets. / Scheiner, Christian W.; Haas, Philipp; Leicht, Niklas et al.
Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013. IEEE, 2013. p. 1489-1494 6550607 (IEEE proceedings).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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N2 - Prediction markets illustrate a promising solution to aggregate distributed knowledge playfully. Prediction markets are speculative markets. They are created to aggregate knowledge, which is distributed among the participants in the prediction market. Prediction markets have also been labeled as game market, decision market or virtual stock. The purpose of this study is to summarize recent studies according to the categories basic functionality, design, real or play money, implementation, success factors, and fields of application.

AB - Prediction markets illustrate a promising solution to aggregate distributed knowledge playfully. Prediction markets are speculative markets. They are created to aggregate knowledge, which is distributed among the participants in the prediction market. Prediction markets have also been labeled as game market, decision market or virtual stock. The purpose of this study is to summarize recent studies according to the categories basic functionality, design, real or play money, implementation, success factors, and fields of application.

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BT - Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013

PB - IEEE

T2 - 27th International Conference on Advanced Information Networking and Applications Workshops

Y2 - 25 March 2013 through 28 March 2013

ER -

Accessing knowledge with a game-a meta-analysis of prediction markets

Abstract

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