This chapter sets out to deepen the understanding of crowdfunding campaigns, and investigates a hand-collected database of 500 projects taken from Kickstarter.com, the biggest crowdfunding website in terms of revenue. Through a logistic regression and mediation model, our study tries to explain which are the predictors that can help reaching the funding goal of a crowdfunding initiative.

What makes crowdfunding projects successful ‘before’ and ‘during’ the campaign?

Ordanini, Andrea
2016

Abstract

This chapter sets out to deepen the understanding of crowdfunding campaigns, and investigates a hand-collected database of 500 projects taken from Kickstarter.com, the biggest crowdfunding website in terms of revenue. Through a logistic regression and mediation model, our study tries to explain which are the predictors that can help reaching the funding goal of a crowdfunding initiative.
2016
9783319180168
9783319180175
Brüntje, Dennis; Gajda, Oliver
Crowdfunding in Europe: state of the art in theory and practice
Marelli, Alessandro; Ordanini, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/4002448
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