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Journal ArticleDOI

Crowdfunding creative ideas: the dynamics of project backers in kickstarter

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TLDR
This article studied the role of social information in the dynamic behavior of project backers and found that additional backer support is negatively related to its past backer support, while the diffusion of responsibility effects diminish as the project funding cycle approaches its closing date.
Abstract
Entrepreneurs are turning to crowdfunding as a way to finance their creative ideas. Crowdfunding involves relatively small contributions of many consumer-investors over a fixed time limit (generally a few weeks). In online crowdfunding communities, potential donors can see the level of support from other project backers as well as its timing before making their own funding decisions, suggesting that social information (i.e., others’ funding decisions) will play an important role in the ultimate success of a project. Two years of publicly available panel data on successfully and unsuccessfully funded projects listed on Kickstarter is used to empirically study the role of social information in the dynamic behavior of project backers. Building off the well-established social psychology theory around diffusion of responsibility effects, we show that additional backer support is negatively related to its past backer support. Many potential backers do not contribute to a project that has already received a lot of support because they assume that others will provide the necessary funding. Consistent with the deadline effect widely observed in bargaining and online auctions, we also show that the diffusion of responsibility effects diminish as the project funding cycle approaches its closing date. Moreover, as the project deadline draws near we find that project updates tend to increase as the project creators make a final plea for help to reach their funding goal. Reduced diffusion of responsibility effects, together with the positive influence of project updates, lead to generally increasing project support in the final stages of funding. This is particularly the case for projects that successfully achieve their goals as they are more likely to have an update in the last weeks of funding and generate more excitement from recent backers than projects that fall short.

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Proceedings ArticleDOI

Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org

TL;DR: It is found that donors are more likely to return if they had a positive interaction with the receiver of the donation, and this includes appropriate and timely recognition of their support as well as detailed communication of their impact.
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Emerging Technologies and the Democratisation of Financial Services: A Metatriangulation of Crowdfunding Research

TL;DR: It is argued that two of the common variables relating to funding behaviours and three relating to impact are fundamentally novel and under-researched, namely the ‘erosion of organisations' financial boundaries’ and ‘paying to participate’.
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Non-profit differentials in crowd-based financing: Evidence from 50,000 campaigns

TL;DR: The authors used data from approximately 50,000 crowdfunding projects to assess the relative funding performance of for-profit and non-profit campaigns and found that non-profits are significantly more likely to reach their minimum funding goals and that they receive more money from the average funding provider.
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Crowdsourcing and organizational forms: Emerging trends and research implications

TL;DR: The authors identifies emerging research themes within crowdsourcing, and maps out the future research lines, including organizational forms and institutional logic that are central for crowd-level engagement in the innovation process.
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What Goes around Comes Around? Rewards as Strategic Assets in Crowdfunding:

TL;DR: In this paper, an empirically derived crowdfunding reward toolbox offering guidance in strategically selecting rewards is presented. But reward design, choice, and planning still occur based on availability rather than strategy.
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Posted Content

A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades

TL;DR: It is argued that localized conformity of behavior and the fragility of mass behaviors can be explained by informational cascades.
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