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Article Dans Une Revue Bulletin of the Technical Committee on Data Engineering Année : 2019

Platform Design for Crowdsourcing and Future of Work

Atsuyuki Morishima
  • Fonction : Auteur
Saravanan Thirumuruganathan
  • Fonction : Auteur
  • PersonId : 950355
Marion Tommasi
  • Fonction : Auteur
  • PersonId : 1126464
Ko Yoshida
  • Fonction : Auteur
  • PersonId : 1126465

Résumé

Online job platforms have proliferated in the last few years. We anticipate a future where there exists thousands of such platforms covering wide swathes of tasks. These include crowdsourcing platforms such 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. It is widely anticipated that a vast majority of human workforce will be employed in these platforms. In this article, we initiate discussions about the under studied aspect of platform design-how to design platforms that maximize the satisfaction of various stakeholders. We also contribute a novel taxonomy for platform ecosystems that categorizes existing and emerging platforms. Finally, we discuss the need for interoperability between these platforms so that workers and requesters are not tied to a single platform.
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Dates et versions

hal-03583288 , version 1 (22-02-2022)

Identifiants

  • HAL Id : hal-03583288 , version 1

Citer

David Gross-Amblard, Atsuyuki Morishima, Saravanan Thirumuruganathan, Marion Tommasi, Ko Yoshida. Platform Design for Crowdsourcing and Future of Work. Bulletin of the Technical Committee on Data Engineering, 2019, 42 (4). ⟨hal-03583288⟩
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