| 基于全支付拍卖模型的众包激励策略优化分析 |
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| 引用本文： | 卢新元,郑雅婷,卢泉,黄梦梅.基于全支付拍卖模型的众包激励策略优化分析[J].运筹与管理,2020,29(6):90-96. |
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| 作者姓名： | 卢新元 郑雅婷 卢泉 黄梦梅 |
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| 作者单位： | 华中师范大学 信息管理学院,湖北 武汉 430079 |
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| 基金项目： | 国家自然科学基金资助项目(71471074);中央高校基本科研业务费资助项目(CCNU18TS040) |
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| 摘 要： | 考虑协作式众包与众包竞赛在发包方期望收益上存在差异,本文对两种众包模式下的激励策略优化问题进行了研究。基于全支付拍卖理论建立了协作式众包模式中全部接包方贡献总收益和众包竞赛模式中接包方贡献最高质量收益的数学模型。接下来,针对两种模式下接包方收益的区别,分析了各自的最优激励策略。最后,采用比较静态均衡法分析了接包方数量和能力在两种众包模式中对激励策略的不同影响,并采用了数值算例验证了相关结论。结果显示:在不设置奖励限制时,协作式众包模式中存在一个最优的奖励分配个数使得接包方贡献总收益取得最大值;而众包竞赛模式中存在一个最优的奖励分配个数使得接包方贡献最高质量收益取得最大值。因此,若接包方参与数量及能力水平提高时,发包方应增加奖励分配个数,以促进接包方贡献总收益与接包方贡献最高质量收益的最大化。
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| 关 键 词： | 全支付拍卖理论 众包竞赛 协作式众包 激励策略 |
| 收稿时间： | 2018-01-24 |
Optimal Crowdsourcing Incentive StrategyBased on All-pay Auction |
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| LU XIN-yuan,ZHENG Ya-ting,LU Quan,HUANG Meng-mei.Optimal Crowdsourcing Incentive StrategyBased on All-pay Auction[J].Operations Research and Management Science,2020,29(6):90-96. |
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| Authors: | LU XIN-yuan ZHENG Ya-ting LU Quan HUANG Meng-mei |
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| Affiliation: | School of Information Management, Central China Normal University, Wuhan 430079, China |
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| Abstract: | Since organizers have different expected revenue for collaborative crowdsourcing model and crowdsourcing contest model, this paper studies the incentive strategy of two types of crowdsourcing. Firstly, we build models of expected total effort and expected highest effort from agents in incomplete information, based on the All-pay auction model. Considering the unlimited budget constraint, we design the strategy of optimal number of prizes for tenderers in crowdsourcing. Furthermore, we research the effects of abilities and numbers of players for our incentive strategy. The results show that the function of expected total effort and expected highest effort are unimodal functions for s-the number of prizes. Moreover, the optimal number of prizes should increase when the ability and numbers of players increase. |
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| Keywords: | all-pay auction crowdsourcing contest crowdsourcing collaboration incentive strategy |
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