An Equilibrium Analysis of Competing Contests

Konstantinos I. Stouras, Sanjiv Erat, Kenneth C. Lichtendahl Jr.
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引用次数: 1

Abstract

Crowdsourcing platforms typically take a passive approach and let solvers self-select which (if any) of the concurrently running contests they wish to participate into. Thus, firms which set prizes and organize contests on these platforms are competing among themselves (for solver participation and effort). We model this competition among contests, and solve for the equilibrium solver participation and characterize the equilibrium among the firms. Next we compare the outcomes to a setting where the platform can “nudge” the solvers toward a particular contest (i.e., platforms can recommend a contest for a given solver, but cannot enforce participation). Our main results reveal that solvers' self-sorting into contests hurts the solvers, the firms and the platform. Thus, platform policies to nudge solver entry improve overall welfare.
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竞争竞争的均衡分析
众包平台通常采取被动的方法,让解决者自行选择他们希望参加的同时进行的竞赛。因此,在这些平台上设置奖品和组织竞赛的公司是在相互竞争(为了求解者的参与和努力)。在此基础上,建立了企业间竞争的模型,求解了均衡求解器的参与率,并刻画了企业间的均衡。接下来,我们将结果与平台可以“推动”求解者参加特定比赛的设置进行比较(即,平台可以为给定的求解者推荐比赛,但不能强制参与)。我们的主要研究结果表明,求解者的自分类竞赛对求解者、企业和平台都有伤害。因此,推动求解器进入的平台政策提高了整体福利。
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