 Crowdsourcing based business models: In search of evidence for innovation 2.0Sonja Marjanovic, Caroline Fry and Joanna Chataway Science and Public Policy, 2012, vol. 39, issue 3, 318-332 Abstract: Open innovation has gained increased attention as a potential paradigm for improving innovation performance. This paper addresses crowdsourcing, an under-researched type of open innovation that is often enabled by the web. We focus on a type of crowdsourcing where financial rewards exist, where a crowd is tasked with solving problems which solution seekers anticipate to be empirically provable, but where the source of solutions is uncertain and addressing the challenge in-house perceived to be too high-risk. There is a growing recourse to crowdsourcing, but we really know little about its effectiveness, best practices, challenges and implications. We consider the shift to more open innovation trajectories over time, define crowdsourcing as an open innovation model, and clarify how crowdsourcing differs from other types of 'open' innovation (e.g. outsourcing and open-source). We explore who is crowdsourcing and how, looking at the potential diversity and core features and variables implicated in crowdsourcing models. Copyright The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press. Date: 2012 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:oup:scippl:v:39:y:2012:i:3:p:318-332 Access Statistics for this article Science and Public Policy is currently edited by Nicoletta Corrocher, Jeong-Dong Lee, Mireille Matt and Nicholas Vonortas More articles in Science and Public Policy from Oxford University Press |
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