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Crowdsourcing: a new tool for policy-making?

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  • Araz Taeihagh

    (Singapore Management University)

Abstract

Crowdsourcing is rapidly evolving and applied in situations where ideas, labour, opinion or expertise of large groups of people is used. Crowdsourcing is now used in various policy-making initiatives; however, this use has usually focused on open collaboration platforms and specific stages of the policy process, such as agenda-setting and policy evaluations. Other forms of crowdsourcing have been neglected in policy-making, with a few exceptions. This article examines crowdsourcing as a tool for policy-making and explores the nuances of the technology and its use and implications for different stages of the policy process. The article addresses questions surrounding the role of crowdsourcing and whether it can be considered as a policy tool or as a technological enabler and investigates the current trends and future directions of crowdsourcing.

Suggested Citation

  • Araz Taeihagh, 2017. "Crowdsourcing: a new tool for policy-making?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(4), pages 629-647, December.
    • Handle: RePEc:kap:policy:v:50:y:2017:i:4:d:10.1007_s11077-017-9303-3
    DOI: 10.1007/s11077-017-9303-3
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    References listed on IDEAS

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    Cited by:

    1. Kotzebue, Julia R., 2022. "Integrated urban transport infrastructure development: The role of digital social geo-communication in Hamburg's TEN-T improvement," Journal of Transport Geography, Elsevier, vol. 99(C).
    2. Mehmet Akif Demircioglu & Roberto Vivona, 2021. "Positioning public procurement as a procedural tool for innovation: an empirical study [Creating the Conditions for Radical Public Service Innovation]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(3), pages 379-396.
    3. Pashchenko Yana & Ye Chengang & Zhu Yue, 2022. "Organizational Ambidexterity and Crowdsourcing Through the Lens of Open Innovation: A Systematic Literature Review," International Journal of Science and Business, IJSAB International, vol. 8(1), pages 95-111.
    4. Aarthi Raghavan & Mehmet Akif Demircioglu & Araz Taeihagh, 2021. "Public Health Innovation through Cloud Adoption: A Comparative Analysis of Drivers and Barriers in Japan, South Korea, and Singapore," IJERPH, MDPI, vol. 18(1), pages 1-30, January.
    5. Devyani Pande & Araz Taeihagh, 2021. "The Governance Conundrum of Powered Micromobility Devices: An In-Depth Case Study from Singapore," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    6. Bertie Vidgen & Taha Yasseri, 2020. "What, when and where of petitions submitted to the UK government during a time of chaos," Policy Sciences, Springer;Society of Policy Sciences, vol. 53(3), pages 535-557, September.
    7. Darren Nel & Araz Taeihagh, 2024. "The soft underbelly of complexity science adoption in policymaking: towards addressing frequently overlooked non-technical challenges," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(2), pages 403-436, June.
    8. Luciana Cingolani & Tim Hildebrandt, 2022. "Incentive Structures for the Adoption of Crowdsourcing in Public Policy: A Bureaucratic Politics Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    9. Certomà, Chiara & Corsini, Filippo & Frey, Marco, 2020. "Hyperconnected, receptive and do-it-yourself city. An investigation into the European “imaginary” of crowdsourcing for urban governance," Technology in Society, Elsevier, vol. 61(C).
    10. Andrea Ballatore & Teun Johannes Verhagen & Zhije Li & Stefano Cucurachi, 2022. "This city is not a bin: Crowdmapping the distribution of urban litter," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 197-212, February.
    11. Regina Lenart-Gansiniec & Łukasz Sułkowski, 2018. "Crowdsourcing—A New Paradigm of Organizational Learning of Public Organizations," Sustainability, MDPI, vol. 10(10), pages 1-14, September.

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