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【明理讲堂2022年第64期】12-28美国德克萨斯大学达拉斯分校Jianqing Chen教授:Sponsored Tasks and Solver Participation in Crowdsourcing Contests

时间:12月28号(周三) 上午10:00-11:30

会议号:#腾讯会议:229-899-373

报告内容简介:

Crowdsourcing platforms provide venues for firms looking for solutions (seekers) to interact with individuals who can provide solutions (solvers). As crowdsourcing contest platforms have grown in popularity with numerous tasks being posted on a daily basis, a concern that has emerged is that many similar tasks compete for solver attention, with some tasks failing to attract sufficient solver participation. To alleviate such a concern, in addition to regular task listings, many crowdsourcing platforms offer sponsorship programs under which seekers pay an extra fee for highlighting their tasks to draw solvers’ attention. We examine the effect of sponsorship on solver participation using a unique data set collected from a leading crowdsourcing platform. In contrast to platforms’ claims about the effect of sponsorship on participation, we find that sponsorship does not always boost participation in crowdsourcing contests; sponsorship increases the number of participants only when the prize amount for a task is already high. Furthermore, even when the number of participants increases, the increase primarily comes from low-ability solvers. We also find that when sponsorship increases the total number of submissions, it does so only through increasing the number of participants; sponsorship does not increase the number of submissions individual solvers submit after joining a task. A more granular analysis reveals an effect of anticipated increased competition caused by sponsorship on high-ability solvers but not on those of low ability, explaining the difference in their participation decisions when facing sponsored tasks. We also find the effect of sponsorship weakens over the duration of a task for high-ability solvers and is also weaker for solvers with more experience on the platform.

报告人简介:

陈建清(Jianqing Chen),美国德州大学达拉斯分校Naveen Jindal商学院信息系统系教授,在清华大学获得学士和硕士学位,德州大学奥斯汀分校博士毕业。陈建清教授目前主要关注平台商业模式、社交媒体和用户产生内容、搜索广告以及信息系统中的经济学,其多项研究成果在Information Systems Research, MIS Quarterly, Management Science, Journal of Marketing, Journal of Marketing Research, and Production and Operations Management等国际顶级学术期刊发表。他目前任Information Systems Research的副主编和Production and Operations Management的高级编辑。

(承办:管理工程系、长三角研究院数字经济创新研究中心、科研与学术交流中心)

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