Unité mixte de recherche 7235

Crowd-Based Feedback and Early-Stage Entrepreneurial Performance: Evidence from a Digital Platform

Intervenant : Aurélien Quignon (Université du Luxembourg)

Rapporteur : Bastien Lextrait

Résumé : The ability to identify early-stage venture potential, which has traditionally relied on experts, is challenging because new ideas are uncertain. However, judgment from a large number of evaluators can effectively identify promising ventures. This paper empirically studies whether crowd-based information generates informative feedback for entrepreneurs and seed investors. Using data on 701 early-stage founders of new ventures examined by 2,600 evaluators, I estimated the effects of crowd-based ratings on survival and securing seed funds. I find that the crowd rating was uncorrelated with subsequent financing events from seed investors but increased a venture’s probability of continuation by 3.1 percentage points. This effect became stronger as the number of evaluators increased. This finding highlights that a judgment aggregation offers information for nascent venture founders.

 

AGENDA

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