作者: Martin Schader , Stefan Seedorf , Thimo Schulze , Robert C. Nickerson , David Geiger
DOI:
关键词: Co-creation 、 Computer science 、 Remuneration 、 Data science 、 Crowdsourcing
摘要: Crowdsourcing is an umbrella term for a variety of approaches that tap into the potential large and open crowd people. So far, there no systematic understanding processes used to source aggregate contributions from crowd. In particular, crowdsourcing organizations striving achieve specific goal should be able evaluate mechanisms impact these processes. Following method IS taxonomy development we propose new taxonomic framework contrast previous work, this classification scheme focuses exclusively on organizational perspective available organizations. The resulting dimensions are preselection contributors, accessibility peer contributions, aggregation remuneration contributions. By classifying 46 examples, identify 19 distinct process types. A subsequent cluster analysis shows general patterns among types indicates link certain applications crowdsourcing.