Prizes on Crowdsourcing Platforms: An Equilibrium Analysis of Competing Contests
University of California, San Diego, Rady School of Management Working Paper No 3485193
30 Pages Posted: 15 Nov 2019
Date Written: November 11, 2017
On a typical crowdsourcing platform solvers can self-select which (if any) of the concurrently running contests to participate in. Thus, firms who offer prizes and organize contests on these platforms are competing among themselves (for solver participation and effort). We formalize and model this competition among contests and examine the equilibrium outcomes. Our analysis reveals that, in general, there is a unique dominant strategy for each firm to offer multiple identical prizes. Moreover, when the quality of submitted solutions is sufficiently noise-driven (as opposed to effort-driven), we find that a single winner-take-all reward is the unique equilibrium allocation. Our analytical framework integrates and extends prior results of the monopolistic contest.
Keywords: crowdsourcing, incentives, multiple contests, winner-takes-all, endogenous participation
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