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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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Citations
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Journal ArticleDOI

The effects of framing messages and cause-related marketing on backing intentions in reward-based crowdfunding

TL;DR: The authors explored the main and interaction effects of framing messages and cause-related marketing on backing intentions by manipulating frame types, frame valences, and cause related marketing in the message narratives of crowdfunding projects.
Posted Content

Le financement participatif des projets culturels et ses petits mondes

TL;DR: In this article, a geographie du financement participatif en prenant le territoire et non les projets comme unite d'analyse demeure peu exploree dans la litterature scientifique liee au financement participation.
Journal ArticleDOI

The Unanticipated Dynamics of Promoting Crowdfunding Donation Campaigns on Social Media

TL;DR: In this article , the authors studied the dynamics of crowdfunding campaigns on social media and found that the general pattern of behavior is the same for charitable campaigns as it is for reward-based campaigns, suggesting that the psychological motives outlined in the literature are important for both types of campaigns.
Proceedings ArticleDOI

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach

TL;DR: This work proposes a novel method based on synthesized bases which can be composed into arbitrary patterns in crowdfunding, and uses representations of sequences in this basis space as a predictor, and adopts a dual-graph to exploit neighbouring information to enhance its prediction quality.
Book ChapterDOI

A Social Network Approach for Crowdfunding

TL;DR: In this paper, a framework based on social network analysis for crowdfunding projects is proposed, which is based on the strength of both weak and strong ties of the social network established by the project proponents.
References
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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.
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