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dc.contributor.authorGABISON, GAVen_US
dc.date.accessioned2019-02-04T16:44:33Z
dc.date.available2016-01-01en_US
dc.date.issued2016-03-01en_US
dc.date.submitted2018-12-04T11:53:18.120Z
dc.identifier.issn1554-849Xen_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/55144
dc.description.abstractThis paper discusses how the all-or-nothing model can disincentivize crowd investors to perform due diligence over the fraud or failure risks of a crowdfunding campaign. Specifically, the major upside of this model is that a project cannot be funded without a critical mass investing. If enough individuals in this critical mass of crowd investors perform their due diligence to check whether projects will become successful, then the model functions correctly; instead, this paper argues that this model incentivizes the crowd to produce noisy information that cannot be relied upon. In the all-or-nothing model, sequential investments encourage rational investors to not perform their due diligence because they relied on the self-interest of prior investors to perform their own due diligence while non-fully rational investors may rely on the belief that prior investors have better information than they might gather. Allowing campaigns to be overfunded can exacerbate some of the all-or-nothing model characteristics. This paper concludes by discussing how the platforms, campaign creators, and crowd investors can be incentivized to better filter projects  in order to assure that crowdfunding fulfills its potential.en_US
dc.format.extent489 - 519en_US
dc.relation.ispartofHastings Business Law Journalen_US
dc.titleThe Incentive Problems with the All-or-Nothing Crowdfunding Modelen_US
dc.typeArticle
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume12en_US
dcterms.dateAccepted2016-01-01en_US


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