Collaboration and Locality in Crowdsourcing

Andreas Mladenow, Christine Bauer, Christine Strauss, Michal Gregus

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

As novel forms of crowdsourcing emerge on the market, we emphasize that the important aspect of location- dependency is more complex than assumed and, thus, suggest a typology along two dimensions of locality: the first dimension refers to whether or not the crowdsourcees interact while being collocated or dispersed; the second dimension refers to the locality of the crowdsourcees in relation to the crowdsourcer's locality (local vs. remote crowd). The resulting four types of crowdsourcing are underpinned by real-world examples. Potential advantages and challenges of the four types are discussed, particularly with respect to motivation and value. The suggested categorization shall provide the necessary basis for future research, as a systematic approach is essential to enable, yield and foster sustainability in a novel interdisciplinary research field like location-based crowdsourcing.
OriginalspracheEnglisch
Titel7th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2015)
Redakteure/-innen IEEE
ErscheinungsortTaipei, Taiwan
VerlagIEEE
Seiten1 - 6
ISBN (Print)978-1-4673-7695-2
DOIs
PublikationsstatusVeröffentlicht - 1 Okt. 2015

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102015 Informationssysteme
  • 102013 Human-Computer Interaction
  • 502050 Wirtschaftsinformatik

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