基于演化博弈视角的企业自建平台众包策略分析
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  • 英文篇名:Crowdsourcing strategy analysis based on enterprise self-built platform from a perspective of evolutionary game
  • 作者:冯南平 ; 陈光智 ; 管玉婷
  • 英文作者:FENG Nanping;CHEN Guangzhi;GUAN Yuting;School of Management, Hefei University of Technology;
  • 关键词:众包策略 ; 演化博弈 ; 自建众包平台 ; 作用机理
  • 英文关键词:crowdsourcing strategy;;evolutionary game;;self-built crowdsourcing platform;;mechanism of action
  • 中文刊名:HEFE
  • 英文刊名:Journal of Hefei University of Technology(Natural Science)
  • 机构:合肥工业大学管理学院;
  • 出版日期:2019-05-28
  • 出版单位:合肥工业大学学报(自然科学版)
  • 年:2019
  • 期:v.42;No.313
  • 基金:国家自然科学基金资助项目(71303073)
  • 语种:中文;
  • 页:HEFE201905021
  • 页数:8
  • CN:05
  • ISSN:34-1083/N
  • 分类号:132-139
摘要
文章以基于企业自建平台的众包项目为对象,从演化博弈视角分析了发包企业的任务群体和接包参与者群体之间众包行为的动态演化和相互作用过程,构建了发包企业的任务群体和接包参与者群体的演化博弈模型,分析了演化稳定策略及系统演化均衡问题,在此基础上分析众包策略的选择问题。结果表明:参与者的准备成本越低、专业程度越高、相关经验越丰富、付出程度越高,越利于众包成功;合理的任务难易度、相对宽松的期限、越低的企业众包成本、预期收益越高,越利于众包成功。最后给出若干举措以促进参与者和企业的良好合作。
        In this paper, focusing on crowdsourcing projects based on enterprise self-built platform, the dynamic evolution and interaction process between the task groups and the package participants groups are analyzed from a perspective of evolutionary game. The game model between the task groups and the package participants groups is constructed, and the evolutionarily stable strategies and system evolution equalization are analyzed. And then the problem of crowdsourcing strategies selection is analyzed. The results show that for the success of crowdsourcing, the more beneficial factors include a lower preparation cost, a higher professional level, a more relevant experience and a higher payment, and a reasonable difficulty of task, a relatively easy deadline, a lower cost of crowdsourcing and a higher expected earnings. Finally, some measures on promoting the good cooperation between participants and enterprises are given.
引文
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