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2020 | OriginalPaper | Buchkapitel

1. What Is Crowdsourcing for Innovation?

verfasst von : Ann Majchrzak, Arvind Malhotra

Erschienen in: Unleashing the Crowd

Verlag: Springer International Publishing

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Abstract

This book is about how crowds can help to innovatively solve wicked problems: problems that are vexing to companies as well as problems that have an existential impact on societies. In this chapter, we first explain what we mean by a wicked problem and what we mean by a crowd, then discuss what is meant by crowdsourcing for innovation. Then we discuss the traditional model of crowdsourcing: the Idea-Sharing process. We discuss the basic theoretical assumptions of this process and how it historically evolved. We describe the evidence for and against this process indicating why we believe this process is “mindcuffing” the crowds from offering innovative solutions to wicked problems. We introduce our competing process—collective production—which serves as the basis for the remainder of the book.

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Fußnoten
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The following are papers describing online user communities: basketball community in Franke, N. & Shah, S. (2003). How communities support innovative activities: an exploration of assistance and sharing among end users. Research Policy 32, 157–178 and Fuller, J., Jawecki, G., & Muhlbacher, H. 2007. Innovation creation by online basketball communities. Journal of Business Research. 60, pp. 60–71; Dell’s Idea Storm in Di Gangi, P. M., Wasko, M. M., & Hooker, R. E. (2010). Getting customers’ ideas to work for you: learning from dell how to succeed with online user innovation communities. MIS Quarterly Executive, 9(4); LEGO’s communities in El Sawy, O. A., Kræmmergaard, P., Amsinck, H., & Vinther, A. L. (2016). How LEGO Built the Foundations and Enterprise Capabilities for Digital Leadership. MIS Quarterly Executive, 15(2); and a variety of lead user innovation communities in both Von Hippel, E. (2005) Democratizing Innovation. MIT Press and Von Hippel, E. (2016) Free Innovation, MIT Press.
 
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Dahlander, L., Piezunka, H., & Jeppesen, L. 2018. How organizations manage crowds: Define, broadcast, attract and select. In J. Sydow and H. Berends (eds.) Managing Inter-organizational collaborations—Process View. Part of a series: Research in the Sociology of Organizations. They review the crowdsourcing literature and confirms that Idea searching is the current dominant form of crowdsourcing for innovation.
 
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Mack, T., & Landau, C. (2015). Winners, losers, and deniers: Self-selection in crowd innovation contests and the roles of motivation, creativity, and skills. Journal of Engineering and Technology Management, 37, 52–64.
 
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See review of crowdsourcing processes by Dahlander, L., Piezunka, H., Jeppesen, L. B. 2018. How organizations manage crowds: Define, broadcast and select. In J. Sydow & H. Berends (Eds) Research in the Sociology of Organizations, Sept 2018.
 
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39
Esteles-Arolas, E & Gonzalex-Ladron-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. J Inf Sci, 38, 189–200.
 
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See review on crowdsourcing by Dahlander, L, Piezunka, H., Jeppesen, L.B. 2018. How organizations manage crowds: Define, broadcast and select. In J. Sydow & H. Berends (Eds) Research in the Sociology of Organizations, Sept 2018.
 
41
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44
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Laursen and Salter (2006).
 
46
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48
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49
“We conducted this competition to find new ways to improve the recommendations we provide to our members, which is a key part of our business. However, we had to come up with a proxy question that was easier to evaluate and quantify: the root mean squared error (RMSE) of the predicted rating.” https://​medium.​com/​netflix-techblog/​netflix-recommendations-beyond-the-5-stars-part-1-55838468f429.
 
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Dahlander et al. (2018); Henkel, J., Schöberl, S., & Alexy, O. (2014). The emergence of openness: How and why firms adopt selective revealing in open innovation. Research Policy, 43(5), 879–890.
 
52
Afuah and Tucci (2012).
 
53
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54
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55
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99
Boudreau, K. J., Lacetera, N., & Lakhani, K. R. 2011. Incentives and problem uncertainty in innovation contests: An empirical analysis. Management Science, 57(5): 843–863.
 
100
Bullinger, A. C., Neyer, A. K., Rass, M. & Moeslein, K. (2010) Community-based innovation contests: Where competition meets cooperation. Creativity and innovation management, 19(3), 390–303.
 
101
Mattarelli, E., Schecter, A., Hinds, P. Contractor, N., Lu, C., Topac, B. (2018). How co-creation processes unfold and predict submission quality in crowd-based open innovation. Thirty-Ninth International Conference on Information Systems, San Francisco.
 
102
Wilson, M., Robson, K., & Botha, E. (2017). Crowdsourcing in a time of empowered stakeholders: lessons from crowdsourcing campaigns. Business Horizons, 60(2), 247–253.
 
103
Example originally provided by Jeppesen, L. B. & Lakhani, K. R. (2010) Marginality and problem-solving effectiveness in broadcast search. Org Sci, 21(5), 1016–1033.
 
104
Quote in Dahlander, L, Piezunka, H., Jeppesen, L. B. 2018. How organizations manage crowds: Define, broadcast and select. In J. Sydow & H. Berends (Eds) Research in the Sociology of Organizations, Sept 2018.
 
105
Fuller, J., Hutter, K., & Faullant, R. Why co-creation experience matters? Creative experience and its impact on the quantity and quality of creative contributions. R&D Management 41(3), 2011, pp. 259–273.
 
106
Whittington (2011, 2015); Seidl et al. (2018).
 
107
Camillus (2008, HB).
 
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Metadaten
Titel
What Is Crowdsourcing for Innovation?
verfasst von
Ann Majchrzak
Arvind Malhotra
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-25557-2_1