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Digitalization of technology advisory service demand for cro...

Digitalization of technology advisory service demand for crowdsourcing service provider selection

作     者:Ruize Gao Quanwu Zhao Yu Wang Zhongsheng Hua 

作者单位:School of Economics and Business AdministrationChongqing University School of ManagementZhejiang University 

会议名称:《第十六届(2021)中国管理学年会》

会议日期:2021年

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

关 键 词:Crowdsourcing service provider selection two-stage selection model matching degree 

摘      要:With the continuous development of the information technology,crowdsourcing mode is widely *** the crowdsourcing platform of scientific consulting service,the demanders can publish their task requirements,and service providers can display their *** the increasing number of demanders and service providers on the platform,manual task matching has obvious disadvantages,such as high time consuming and low task matching *** address the above problems,we propose a Two-Stage Crowdsourcing Service Provider Selection model(TSCSPS) to match the task design and the service *** the first stage,we select the initial candidate service providers based on the classification of the task *** the second stage,we employ the similarity to determine the final servicer ***,we construct domain dictionary to extract the keywords of the task design and the information of service ***,we calculate the matching degree between a task design and the service provider based on the proposed similarity ***,we select the top service provider as the final crowdsourcing service *** results show that our model is superior to the manual selection in terms of the correct percentage of matching.

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