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基于在线评论数据的众包服务商选择模型构建

Crowdsourcing Service Provider Selection Model Construction Based on the Online Comment Data
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摘要 针对众包模式下信用度缺乏带来的众包服务商选择困难问题,探讨利用众包平台上的在线评论数据选择服务商。基于胜任力模型,从接包方、平台和任务设计3个方面提出13个影响服务商选择的特征,构建基于在线评论数据的众包服务商选择模型,并利用分类算法实现模型。实验结果表明,基于接包方、平台和任务设计3类特征组合下的服务商选择效果最佳;模型选择的最佳服务商基本符合真实数据中发包方选择的中标服务商,验证了模型在实际应用中的有效性。 In view of the difficulty of selecting crow dsourcing service providers caused by the lack of credit in crow dsourcing mode, this paper discusses how to select service providers by using online com m ent data on crowdsourcing platform. Based on competency model, 13 features that affect the selection of service providers are proposed from three aspects: service provider, platform and task design, the crowdsourcing service provider selection model based on online comm ent data is constructed, and the classification algorithm is used to implement the model. The experimental results show th at, the service provider selection effect based on the combination of service provider, platform and task design is the best, and the best service provider selected by the model basically accords with the winning service provider selected by the contractor in the real data, so the validity of the model in practical application is verified.
作者 卢新元 李珊珊 李杨莉 卞春会 张孜铭 Lu Xinyuan;Li Shanshan;Li Yangli;Bian Chunhui;Zhang Ziming(School of Information Management,Central China Normal University,Wuhan 430079,China;Hubei Electronic Commerce Research Center,Wuhan 430079,China)
出处 《科技管理研究》 CSSCI 北大核心 2019年第11期211-218,共8页 Science and Technology Management Research
基金 国家自然科学基金面上项目“众包模式下用户参与行为对企业创新绩效的影响研究”(71471074) 中央高校自主探索创新项目“社群3.0模式下用户交互行为及其作用机理研究”(CCNU18TS040)
关键词 众包 服务商选择 在线评论数据 分类 crowdsourcing selection of solvers online comm ent data classification
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