文章基本信息

标题：Platform Design for Crowdsourcing and Future of Work
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作者：David Gross-Amblard ; Atsuyuki Morishima ; Saravanan Thirumuruganathan 等
期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2019
卷号：42
期号：4
页码：35-45
出版社：IEEE Computer Society
摘要：Online job platforms have proliferated in the last few years. We anticipate a future where there existsthousands of such platforms covering wide swathes of tasks. These include crowdsourcing platformssuch as Amazon Mechanical Turk (AMT), CrowdWorks, Figure Eight; specialized services such as ridehailing;matching markets such as TaskRabbit that matches workers with local demand and so on. Itis widely anticipated that a vast majority of human workforce will be employed in these platforms. Inthis article, we initiate discussions about the under studied aspect of platform design – how to designplatforms that maximize the satisfaction of various stakeholders. We also contribute a novel taxonomy forplatform ecosystems that categorizes existing and emerging platforms. Finally, we discuss the need forinteroperability between these platforms so that workers and requesters are not tied to a single platform..