JOURNAL ARTICLE
Disagreement Predicts Startup Success: Evidence from Venture Competitions.
Published In: Strategy Science (INFORMS), 2025, v. 10, n. 2. P. 93 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Gius, Luca 3 of 3
Abstract
This paper investigates how disagreement among venture competition judges regarding a startup’s value proposition predicts the startup’s future success. Using data from 67 venture competitions involving 2,650 startups, the study finds that higher disagreement—measured by the standard deviation of judges’ scores—is associated with greater funding, higher revenues, and increased likelihood of successful exit, especially for startups with unique and distinctive propositions. The analysis shows that disagreement is not merely noise or a proxy for risk but reflects strategic divergence tied to unconventional ideas that challenge common beliefs. Additionally, former entrepreneurs among judges tend to dissent more, and disagreement is most pronounced around a startup’s business model rather than its team. These findings suggest that investors and institutions should consider disagreement as a valuable signal when evaluating novel startup ideas, addressing the “uniqueness paradox” where unique strategies are often undervalued due to evaluation difficulties.
Additional Information
- Source:Strategy Science (INFORMS). 2025/06, Vol. 10, Issue 2, p93
- Document Type:Article
- Subject Area:Biography
- Publication Date:2025
- ISSN:2333-2050
- DOI:10.1287/stsc.2024.0169
- Accession Number:187706315
- Copyright Statement:Copyright of Strategy Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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