An empirical analysis of user participation on crowdsourcing platform: A two-sided network market perspective

Emmanuel Ayaburi, Charles Zhechao Liu, Yoris A. Au

Research output: Contribution to book or proceedingConference articlepeer-review

1 Scopus citations

Abstract

Crowdsourcing has recently emerged as a new platform for matching the demand and supply between professionals and businesses who seek external expertise for business task execution. Driven by the unique features of the two-sided crowdsourcing markets (such as auction-style competition on quality by professionals), this study seeks to examine how the dynamics of the two-sided crowdsourcing platform affect customers' and professionals' strategic behaviors and market outcomes. Using longitudinal transaction data from a crowdsourcing websites, we plan to empirically examine how the participation of professionals and customers, task reward and task completion rate are affected by the characteristics of the professionals such as distribution of the winning professionals and their reputation. The results of our study are expected to contribute to the growing literature on crowdsourcing and provide important insights on the design and assessment of the sustainability and profitability of the crowdsourcing business model.

Original languageEnglish
Title of host publication2015 International Conference on Information Systems
Subtitle of host publicationExploring the Information Frontier, ICIS 2015
PublisherAssociation for Information Systems
ISBN (Print)9780996683111
StatePublished - 2015
Event2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 - Fort Worth, United States
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015

Conference

Conference2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015
Country/TerritoryUnited States
CityFort Worth
Period12/13/1512/16/15

Keywords

  • Concentration
  • Crowdsourcing
  • Network market
  • Reputation

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