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

Institut für Entrepreneurship und Business Development

1 Zitat (Scopus)

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.

Originalsprache	Englisch
Titel	Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Seitenumfang	6
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	19.08.2013
Seiten	1489-1494
Aufsatznummer	6550607
ISBN (Print)	978-1-4673-6239-9
ISBN (elektronisch)	978-0-7695-4952-1
DOIs	https://doi.org/10.1109/WAINA.2013.162
Publikationsstatus	Veröffentlicht - 19.08.2013
Veranstaltung	27th International Conference on Advanced Information Networking and Applications Workshops - Barcelona, Spanien Dauer: 25.03.2013 → 28.03.2013

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 8 – Angemessene Arbeitsbedingungen und wirtschaftliches Wachstum

Dokumente

10.1109/WAINA.2013.162

Weitere Links

https://www.scopus.com/pages/publications/84881472605

Zitieren

@inproceedings{3cb384b0598940758c755deb64445c17,

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\}",

year = "2013",

month = aug,

day = "19",

doi = "10.1109/WAINA.2013.162",

language = "English",

isbn = "978-1-4673-6239-9",

series = "IEEE proceedings",

publisher = "IEEE",

pages = "1489--1494",

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",

}

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, S. 1489-1494, 27th International Conference on Advanced Information Networking and Applications Workshops, Barcelona, Spanien, 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. S. 1489-1494 6550607 (IEEE proceedings).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Accessing knowledge with a game-a meta-analysis of prediction markets

AU - Scheiner, Christian W.

AU - Haas, Philipp

AU - Leicht, Niklas

AU - Voigt, Kai Ingo

PY - 2013/8/19

Y1 - 2013/8/19

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.

UR - https://www.scopus.com/pages/publications/84881472605

U2 - 10.1109/WAINA.2013.162

DO - 10.1109/WAINA.2013.162

M3 - Conference contribution

SN - 978-1-4673-6239-9

T3 - IEEE proceedings

SP - 1489

EP - 1494

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

UN SDGs

Dokumente

Weitere Links

Fingerprint

Zitieren