scispace - formally typeset
Journal ArticleDOI

Crowdfunding creative ideas: the dynamics of project backers in kickstarter

Reads0
Chats0
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.

read more

Citations
More filters
Proceedings ArticleDOI

Visible Hearts, Visible Hands: A Smart Crowd Donation Platform

TL;DR: The findings of the user study supported the idea that the Smart Crowd Donate system has potential to efficiently distribute funds to projects and allows more projects to receive the amount of money they need.

La dynamique du crowdfunding : revue critique de la littérature et facteurs du succès d'une collecte

TL;DR: In this article, a revue de la litterature visant a mettre en perspective l'ensemble des travaux realises jusqu'a present is proposed, and les facteurs de reussite d'une collecte sur la base d'un panel de 225 projets du site KissKissBankBank.
Journal ArticleDOI

Do Analysts Learn from Each Other? Evidence from Analysts' Location Diversity

TL;DR: In this article, the authors find that when analysts' locations are geographically more dispersed, the consensus forecast is more accurate, suggesting a diversification effect, implying that analysts incorporate idiosyncratic (private) information in their peer's forecasts when generating their own forecasts.
Journal ArticleDOI

A New Factor in the Effect of Crowdfunding Projects

TL;DR: A new variable in the model of finding the effect of successful crowdfund the projects can significantly improve the Pseudo R2 of the evaluation model, which, can be used as the one in predict the result of the future crowdfunding projects.
References
More filters
Book

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).
MonographDOI

Microeconometrics: Methods and Applications

TL;DR: This chapter discusses models for making pseudo-random draw, which combines asymptotic theory, Bayesian methods, and ML and NLS estimation with real-time data structures.
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.
Journal ArticleDOI

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.
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.
Related Papers (5)