Equilibrium decisions for an innovation crowdsourcing platform

Xi Cheng, Qinglong Gou, Jinfeng Yue and Yan Zhang

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 125, issue C, 241-260

Abstract: In this study, we formulated a game between three stakeholders in an innovative crowdsourcing platform, comprising the platform itself, sponsors, and participants. Using the Stackelberg game and auction theory, we derived the participant’s equilibrium effort strategy in a single-prize contest, a two-prize contest, or a multiple-prize contest; we also derived the sponsor’s optimal decision for its award mechanism. We proved that the single-prize contest is always preferred by the sponsor. Additionally, we derived the platform’s optimal decision under the fixed and proportional intermediary fee schedules and found that the fixed schedule will maximize the platform’s profit.

Keywords: Innovation crowdsourcing; Crowdsourcing platform; All-pay auction; Intermediary fee schedule; Award allocation mechanism (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.tre.2019.03.006

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