Signaling Quality: How Refund Bonuses Can Overcome Information Asymmetries in Crowdfunding

Timothy Cason, Alexander Tabarrok, Robertas Zubrickas

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)
141 Downloads (Pure)

Abstract

Crowdfunding can suffer from information asymmetry, leaving some investors disappointed with low-quality projects, whereas other high-quality projects remain unfunded. We show that refund bonuses, which provide investors a payment if a fundraising campaign is unsuccessful, can signal project quality and help overcome the market failure in crowdfunding. Because strong projects have a lower risk of bonus payout, entrepreneurs with strong projects are more likely to offer bonuses. This signals high quality to investors, and due to their updated beliefs, this drives investment toward such projects. An experiment provides supporting empirical evidence for the benefits of this signaling solution to the problems of information asymmetry in crowdfunding.
Original languageEnglish
Pages (from-to)5933-5947
Number of pages15
JournalManagement Science
Volume71
Issue number7
Early online date18 Oct 2024
DOIs
Publication statusPublished - 31 Jul 2025

Bibliographical note

Publisher Copyright:
Copyright: © 2024 INFORMS.

Data Availability Statement

The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03923.

Funding

This work was supported by Schmidt Sciences. The authors thank seminar and conference audiences at Indiana University, Loyola Marymount University, University of Oregon, IMEBESS (Lisbon), SAET (Paris), and ANZWEE (Melbourne) for valuable feedback. Xinxin Lyu provided valuable oTree programming for the experiment software.

FundersFunder number
University of Oregon
Indiana University
Schmidt Sciences
Loyola Marymount University
ANZWEE
SAET

    Keywords

    • adverse selection
    • crowdfunding
    • experiments
    • signaling
    • threshold implementation

    ASJC Scopus subject areas

    • Strategy and Management
    • Management Science and Operations Research

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