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Incentive Structures for the Adoption of Crowdsourcing in Public Policy: A Bureaucratic Politics Model

  • Collective intelligence paradigms have been increasingly embraced by the public sector as a way to address complex policy challenges. The field is limited, however, by our little, comparative understanding of the political economy factors that create incentives around the adoption of certain types of collective intelligence over others in different organizational settings. This article uses a typology of citizen-sourced open innovation models based on the work of Daren Brabham as well as insights from Elinor Ostrom and Archon Fung, in order to produce a theoretical model of the determinants of crowdsourcing adoption decisions in the public sector. The model derives a political economy analysis that matches various administrative scenarios to different collective intelligence modalities and developments. The insights are illustrated through a number of crowdsourcing initiatives and provide important lessons to practitioners designing such collective challenges.

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Metadaten
Document Type:Article
Language:English
Author(s):Luciana Cingolani, Tim Hildebrandt
Parent Title (English):Sustainability
Publication year:2022
Publishing Institution:Hertie School
DOI:https://doi.org/10.3390/su142012982
Release Date:2022/10/24
Volume:14
Issue:20
Article Number:12982
Hertie School Research:Centre for Digital Governance
AY 22/23:AY 22/23
Licence of document (German):Metadaten / metadata
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