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2019 | OriginalPaper | Chapter

6. Modeling the Dynamics of Reward-Based Crowdfunding Systems: An Agent-Based Model of Kickstarter

Authors : Marco Campennì, Federico Cecconi

Published in: Information and Communication Technologies (ICT) in Economic Modeling

Publisher: Springer International Publishing

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Abstract

In this chapter, we present an agent-based model of Kickstarter, maybe the most successful crowdfunding platform available nowadays. We aim to use the model to better understand cognitive strategies and behavioral dynamics governing Kickstarter, considered as a multi-actor system where agents adopting different strategies interact. The model shows how the success of agents is affected by the strategy they adopt and provide interesting insight about non-linear dynamics resulting from the interactions among agents.

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Metadata
Title
Modeling the Dynamics of Reward-Based Crowdfunding Systems: An Agent-Based Model of Kickstarter
Authors
Marco Campennì
Federico Cecconi
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-22605-3_6