Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41366

Tapping into the Collective Creativity of the Crowd: The Effectiveness of Key Incentives in Fostering Creative Crowdsourcing

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dc.contributor.author Literat, Ioana
dc.date.accessioned 2016-12-29T00:43:38Z
dc.date.available 2016-12-29T00:43:38Z
dc.date.issued 2017-01-04
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41366
dc.description.abstract To better understand the conditions that most effectively stimulate creative participation online, a crowdsourcing project was implemented on Amazon’s Mechanical Turk, collecting 4200 written and visual submissions from online participants. An experimental research design tested the impact of specific incentive structures (i.e. financial rewards, bonuses, specification of project purpose, attribution of authorship credit) on the outcomes of creative participation (quantity of submissions, quality of submissions, time spent on task). The study found that extrinsic rewards (i.e. higher pay and bonuses) are effective in encouraging participants to accept the creative task, whereas the strategies that boost the creativity of the submissions are: offering a bonus, mentioning a charitable purpose, and giving contributors authorship credit. These findings help illuminate the factors that have the greatest impact on the quality and quantity of online creative participation, thus making a vital contribution to our understanding of digital creativity.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject creativity
dc.subject crowdsourcing
dc.subject incentives
dc.subject online participation
dc.title Tapping into the Collective Creativity of the Crowd: The Effectiveness of Key Incentives in Fostering Creative Crowdsourcing
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2017.212
Appears in Collections: Collective Intelligence and Crowds Minitrack


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