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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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A social fundraising mechanism for charity crowdfunding

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When Consumers Become Project Backers: The Psychological Consequences of Participation in Crowdfunding

TL;DR: In this paper, the authors show that crowdfunding participation increases the extent to which consumers can personally connect to and identify with the focal venture compared to those who merely buy the product in a classic market exchange setting.
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Funding Dynamics in Crowdinvesting

TL;DR: In this paper, the authors use hand-collected data from four German crowdinvesting portals to analyze what determines individual investment decisions in crowd investing and find that investors base their decisions on information provided by the entrepreneur in form of updates during the campaign and by the investment behavior and comments of other crowd investors.
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Investors' inertia behavior and their repeated decision-making in online reward-based crowdfunding market

TL;DR: A Panel Vector Auto Regression Model with exogenous variables suggests the existence of investors' Inertia Behavior and finds that investors' IB in reward tier selection seems to be stronger than that in investment timing selection.
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On the fixed and flexible funding mechanisms in reward-based crowdfunding

TL;DR: It is shown that the fixed and the flexible funding mechanisms have their own advantages under certain circumstances, and these investigations can effectively guide the decision makers during the crowdfunding activities.
References
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Econometric Analysis of Cross Section and Panel Data

TL;DR: This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001).
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Journal ArticleDOI

Some practical guidance for the implementation of propensity score matching

TL;DR: Propensity score matching (PSM) has become a popular approach to estimate causal treatment effects as discussed by the authors, but empirical examples can be found in very diverse fields of study, and each implementation step involves a lot of decisions and different approaches can be thought of.
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Interaction terms in logit and probit models

TL;DR: In this article, the authors present the correct way to estimate the magnitude and standard errors of the interaction effect in nonlinear models, which is the same way as in this paper.
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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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