Managing the crowd: Towards a taxonomy of crowdsourcing processes

David Geiger*, Stefan Seedorf, Thimo Schulze, Robert Nickerson, Martin Schader

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

181 Citations (Scopus)

Abstract

Crowdsourcing is an umbrella term for a variety of approaches that tap into the potential of a large and open crowd of people. So far, there is no systematic understandmg of the processes used to source and aggregate contributions from the crowd. In phcular, crowdsourcing organizations shiving to acheve a specific goal should be able to evaluate the mechanisms that impact these processes. Following a method of IS taxonomy development we propose a new taxonomic framework for crowdsourcing processes. In contrast to previous work, ths classification scheme focuses exclusively on an organizational perspective and on the mechanisms available to these organizations. The resulting dimensions are preselection of contributors, accessibility of peer contributions, aggregation of contributions, and remuneration for contributions. By classifyng the processes of 46 crowdsourcing examples, we identify 19 mstinct process types. A subsequent cluster analysis shows general patterns among these types and indicates a link to cedain applications of crowdsourcing.

Original languageEnglish
Title of host publication17th Americas Conference on Information Systems 2011, AMCIS 2011
Pages3796-3806
Number of pages11
Publication statusPublished - 2011
Externally publishedYes
Event17th Americas Conference on Information Systems 2011, AMCIS 2011 - Detroit, MI, United States
Duration: 4 Aug 20118 Aug 2011

Publication series

Name17th Americas Conference on Information Systems 2011, AMCIS 2011
Volume5

Conference

Conference17th Americas Conference on Information Systems 2011, AMCIS 2011
Country/TerritoryUnited States
CityDetroit, MI
Period4/08/118/08/11

Keywords

  • Classification
  • Co-creation
  • Crowd
  • Crowd management
  • Crowdsourcing
  • Taxonomy

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