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Equilibrium decisions for an innovation crowdsourcing platform

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  • Cheng, Xi
  • Gou, Qinglong
  • Yue, Jinfeng
  • Zhang, Yan

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.

Suggested Citation

  • Cheng, Xi & Gou, Qinglong & Yue, Jinfeng & Zhang, Yan, 2019. "Equilibrium decisions for an innovation crowdsourcing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 241-260.
    • Handle: RePEc:eee:transe:v:125:y:2019:i:c:p:241-260
    DOI: 10.1016/j.tre.2019.03.006
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    References listed on IDEAS

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    Cited by:

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    7. Wang, Yi-Jia & Wang, Yue & Huang, George Q. & Lin, Ciyun, 2024. "Public acceptance of crowdsourced delivery from a customer perspective," European Journal of Operational Research, Elsevier, vol. 317(3), pages 793-805.
    8. Horner, Hannah & Pazour, Jennifer & Mitchell, John E., 2021. "Optimizing driver menus under stochastic selection behavior for ridesharing and crowdsourced delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
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