Prediction markets for crowdsourcing

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Prediction markets for crowdsourcing. / Horn, Christian; Bogers, Marcel; Brem, Alexander.

Creating and Capturing Value through Crowdsourcing. ed. / Christopher L. Tucci; Allan Afuah; Gianluigi Viscusi. Oxford University Press, 2018. p. 292-309.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Horn, C, Bogers, M & Brem, A 2018, Prediction markets for crowdsourcing. in CL Tucci, A Afuah & G Viscusi (eds), Creating and Capturing Value through Crowdsourcing. Oxford University Press, pp. 292-309. https://doi.org/10.1093/oso/9780198816225.003.0012

APA

Horn, C., Bogers, M., & Brem, A. (2018). Prediction markets for crowdsourcing. In C. L. Tucci, A. Afuah, & G. Viscusi (Eds.), Creating and Capturing Value through Crowdsourcing (pp. 292-309). Oxford University Press. https://doi.org/10.1093/oso/9780198816225.003.0012

Vancouver

Horn C, Bogers M, Brem A. Prediction markets for crowdsourcing. In Tucci CL, Afuah A, Viscusi G, editors, Creating and Capturing Value through Crowdsourcing. Oxford University Press. 2018. p. 292-309 https://doi.org/10.1093/oso/9780198816225.003.0012

Author

Horn, Christian ; Bogers, Marcel ; Brem, Alexander. / Prediction markets for crowdsourcing. Creating and Capturing Value through Crowdsourcing. editor / Christopher L. Tucci ; Allan Afuah ; Gianluigi Viscusi. Oxford University Press, 2018. pp. 292-309

Bibtex

@inbook{54bbe0eed9e54ea39d8fc4f7caaaadcb,
title = "Prediction markets for crowdsourcing",
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.",
keywords = "Crowdsourcing, Internal crowdsourcing, Open innovation, Prediction markets, Virtual stock markets",
author = "Christian Horn and Marcel Bogers and Alexander Brem",
year = "2018",
doi = "10.1093/oso/9780198816225.003.0012",
language = "English",
pages = "292--309",
editor = "Tucci, {Christopher L. } and Afuah, {Allan } and Viscusi, {Gianluigi }",
booktitle = "Creating and Capturing Value through Crowdsourcing",
publisher = "Oxford University Press",
address = "United Kingdom",

}

RIS

TY - CHAP

T1 - Prediction markets for crowdsourcing

AU - Horn, Christian

AU - Bogers, Marcel

AU - Brem, Alexander

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Crowdsourcing

KW - Internal crowdsourcing

KW - Open innovation

KW - Prediction markets

KW - Virtual stock markets

U2 - 10.1093/oso/9780198816225.003.0012

DO - 10.1093/oso/9780198816225.003.0012

M3 - Book chapter

AN - SCOPUS:85051611615

SP - 292

EP - 309

BT - Creating and Capturing Value through Crowdsourcing

A2 - Tucci, Christopher L.

A2 - Afuah, Allan

A2 - Viscusi, Gianluigi

PB - Oxford University Press

ER -

ID: 222100186