Prediction Markets for Crowdsourcing

Beitrag in einem Sammelwerk
(Buchkapitel)


Details zur Publikation

Autor(en): Horn CF, Bogers M, Brem A
Herausgeber: Christopher L. Tucci, Allan Afuah, Gianluigi Viscusi
Titel Sammelwerk: Creating and Capturing Value through Crowdsourcing
Verlag: Oxford University Press
Verlagsort: Oxford
Jahr der Veröffentlichung: 2018
Seitenbereich: 292-309
ISBN: 978-019881622-5


Abstract

Crowdsourcing is an increasingly important phenomenon that is fundamentally changing how companies create and capture value. There are still important questions with respect to how crowdsourcing works and can be applied in practice, especially in business practice. In this chapter, we focus on prediction markets as a mechanism and tool to tap into a crowd in the early stages of an innovation process. In line with the growing interest in open innovation, we also investigate the difference between using internal or external sources in the context of prediction markets. We apply one example of a prediction market, a virtual stock market, to open innovation through an online platform, and show that using mechanisms of internal crowdsourcing with prediction markets can outperform the use of external crowds under certain conditions.


FAU-Autoren / FAU-Herausgeber

Brem, Alexander Prof. Dr.
Lehrstuhl für Technologiemanagement


Autor(en) der externen Einrichtung(en)
Otto-Friedrich-Universität Bamberg
University of Copenhagen


Zitierweisen

APA:
Horn, C.F., Bogers, M., & Brem, A. (2018). Prediction Markets for Crowdsourcing. In Christopher L. Tucci, Allan Afuah, Gianluigi Viscusi (Eds.), Creating and Capturing Value through Crowdsourcing (pp. 292-309). Oxford: Oxford University Press.

MLA:
Horn, Christian Franz, Marcel Bogers, and Alexander Brem. "Prediction Markets for Crowdsourcing." Creating and Capturing Value through Crowdsourcing Ed. Christopher L. Tucci, Allan Afuah, Gianluigi Viscusi, Oxford: Oxford University Press, 2018. 292-309.

BibTeX: 

Zuletzt aktualisiert 2018-22-09 um 11:32