2017
DOI: 10.1007/s11187-016-9829-3
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The wisdom of the crowd in funding: information heterogeneity and social networks of crowdfunders

Abstract: Crowdfunding has enabled large crowds to fund innovative projects. This type of funding might tap into the wisdom of crowds who were previously disconnected from the funding process. We distinguish between in-crowd and out-crowd funders (with and without ties to project creators) in order to test for heterogeneity in their information use. Based on the analysis of a large-scale survey amongst project funders, this paper shows that in-crowd investors rely more on information about the project creator than out-c… Show more

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citations
Cited by 141 publications
(126 citation statements)
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References 101 publications
(237 reference statements)
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“…However, it needs to be considered that investors' motivations have been shown to depend on the specific crowdfunding model (Cholakova and Clarysse 2015;Lukkarinen et al 2016;Vulkan et al 2016;Polzin et al 2017), which suggests that the effects of updates and the signals used also differ according to the crowdfunding model. Focusing on findings in relation to venture financing with a profit participation of investors, the content of these signals can be roughly summarized into information about the start-up's quality (i.e., the management team, its preparedness and openness, and the start-up's financials) and external credentials provided by third parties (i.e., through social networks, reputable investors, protection of intellectual property, reception of grants, and the reaction by the crowd).…”
Section: Content Of Updates and Its Effects On Crowd Participationmentioning
confidence: 99%
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“…However, it needs to be considered that investors' motivations have been shown to depend on the specific crowdfunding model (Cholakova and Clarysse 2015;Lukkarinen et al 2016;Vulkan et al 2016;Polzin et al 2017), which suggests that the effects of updates and the signals used also differ according to the crowdfunding model. Focusing on findings in relation to venture financing with a profit participation of investors, the content of these signals can be roughly summarized into information about the start-up's quality (i.e., the management team, its preparedness and openness, and the start-up's financials) and external credentials provided by third parties (i.e., through social networks, reputable investors, protection of intellectual property, reception of grants, and the reaction by the crowd).…”
Section: Content Of Updates and Its Effects On Crowd Participationmentioning
confidence: 99%
“…Furthermore, Aoterra, (2015), Lukkarinen et al (2016), Polzin et al (2017) Share of retained equity Mixed Entrepreneurial intention Ahlers et al (2015), Ralcheva and Roosenboom (2016), Vismara (2016a) External certification Social network (size) Mixed Social capital; quality disclosure; larger investor base Ahlers et al (2015), Lukkarinen et al (2016), Vismara (2016a) Reputable investors (business angels, experts) + Quality disclosure; certification Kim and Viswanathan (2013), Ralcheva and Roosenboom (2016) Investors with large investments + Quality disclosure Vulkan et al (2016) Intellectual capital (patents) Mixed Quality disclosure Ahlers et al (2015), Ralcheva and Roosenboom (2016) Reception of grants None Quality disclosure Ralcheva and Roosenboom (2016) Campaign developments…”
Section: Data Sourcesmentioning
confidence: 99%
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“…These funding platforms bring back the judgment call aspect of relationship banking and VC, but 'scale' the investment process through organizing the flow of information in a different, non-proprietary way [49]. In contrast to VC, investors do not try to gain an exclusive information position on the investees, but rather generate information by making their decision known to the rest of the investor community.…”
Section: Financing Early-stage Clean Energy Innovationmentioning
confidence: 99%