Exploring the trends, characteristic antecedents, and performance consequences of crowdsourcing project risks

  • Shan Liu
  • , Fan Xia
  • , Jinlong Zhang
  • , Wei Pan
  • , Yajun Zhang

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

This research develops the risk dimensions of crowdsourcing projects and investigates the trends in risk dimensions and performance across crowdsourcing projects with high, medium, and low risk levels. This study also verifies the influence of critical crowdsourcing project characteristics, such as project mode, project purpose, project type, and number of participants, on crowdsourcing project risks. On the basis of the quantitative data collected from 403 crowdsourcees and crowdsourcers through an online survey in China, results of cluster and multivariate analyses of variance indicate that the mean level of each risk dimension consistently moves with the change in cluster risk levels. Technical-related risks are more critical than social-related ones in crowdsourcing projects. Task risk is the most significant risk dimension. All risk dimensions (i.e., crowdsourcer, relationship, crowdsourcee, complexity, requirement, and task) are negatively associated with crowdsourcing project performance. Each risk dimension is considerably influenced by various characteristics of crowdsourcing projects.

Original languageEnglish
Pages (from-to)1625-1637
Number of pages13
JournalInternational Journal of Project Management
Volume34
Issue number8
DOIs
StatePublished - 1 Nov 2016
Externally publishedYes

Keywords

  • Cluster analysis
  • Crowdsourcing project
  • Performance
  • Risk management
  • Socio-technical theory

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