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Crowdsourcing: a new tool for policy-making?


  • Araz Taeihagh

    () (Singapore Management University)


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

    1. Edward L. Glaeser & Andrew Hillis & Scott Duke Kominers & Michael Luca, 2016. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy," American Economic Review, American Economic Association, vol. 106(5), pages 114-118, May.
    2. Araz Taeihagh, 2017. "Crowdsourcing, Sharing Economies and Development," Journal of Developing Societies, , vol. 33(2), pages 191-222, June.
    3. Araz Taeihagh, 2017. "Network-centric policy design," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(2), pages 317-338, June.
    4. Ben Taieb, Souhaib & Hyndman, Rob J., 2014. "A gradient boosting approach to the Kaggle load forecasting competition," International Journal of Forecasting, Elsevier, vol. 30(2), pages 382-394.
    5. De Groen, Willem Pieter & Maselli, Ilaria & Fabo, Brian, 2016. "The Digital Market for Local Services: A one-night stand for workers? An example from the on-demand economy," CEPS Papers 11438, Centre for European Policy Studies.
    6. Wei Li & Michael N. Huhns & Wei-Tek Tsai & Wenjun Wu (ed.), 2015. "Crowdsourcing," Progress in IS, Springer, edition 127, number 978-3-662-47011-4, October.
    7. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    8. David F. Hendry & Neil R. Ericsson (ed.), 2003. "Understanding Economic Forecasts," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582422, December.
    9. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    10. Joshua C. Gellers, 2016. "Crowdsourcing global governance: sustainable development goals, civil society, and the pursuit of democratic legitimacy," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 16(3), pages 415-432, June.
    11. Andy Hira, 2017. "Profile of the Sharing Economy in the Developing World: Examples of Companies Trying to Change the World," Journal of Developing Societies, , vol. 33(2), pages 244-271, June.
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    Cited by:

    1. 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.
    2. Regina Lenart-Gansiniec & Łukasz Sułkowski, 2018. "Crowdsourcing—A New Paradigm of Organizational Learning of Public Organizations," Sustainability, MDPI, Open Access Journal, vol. 10(10), pages 1-14, September.


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