Early contributors and fair rewards in crowdfunding
Sylvain Béal,
Marc Deschamps,
Catherine Refait-Alexandre () and
Guillaume Sekli ()
Additional contact information
Catherine Refait-Alexandre: Université de Franche-Comté
Guillaume Sekli: Université de Franche-Comté
Theory and Decision, 2025, vol. 98, issue 1, No 2, 33-59
Abstract:
Abstract We address the issue of fairly rewarding contributors to a crowdfunded project. We develop a theoretical non-strategic model, and introduce a new reward rule: a contributor’s reward depends both on her financial contribution and on the timing of her contribution. Following the axiomatic method used in models of resource sharing, we characterize this new reward rule by a pair of natural axioms. The resulting rewards coincide with the Shapley value of a suitable cooperative game built from the crowdfunding project. This allocation rule conveys a signaling effect: if two contributors make the same financial contribution, the earlier obtains a greater reward.
Keywords: Crowdfunding; Signaling; Early contributions; Fairness; Cooperative games; Shapley value; Core (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11238-024-09996-6 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:theord:v:98:y:2025:i:1:d:10.1007_s11238-024-09996-6
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11238/PS2
DOI: 10.1007/s11238-024-09996-6
Access Statistics for this article
Theory and Decision is currently edited by Mohammed Abdellaoui
More articles in Theory and Decision from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().