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Crowdsourcing Systems

In: Personalized Task Recommendation in Crowdsourcing Systems

Author

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  • David Geiger

    (University of Mannheim)

Abstract

Inspired by systems theory, this chapter introduces an integrated, socio-technical perspective to study the information systems that realize Web-based crowdsourcing efforts. The resulting framework provides a conceptual structure to channel and relate crowdsourcing research. In particular, it can be used to gain a deeper and comparative understanding of different types of crowdsourcing systems and thus guide the systematic analysis and design of their components, e.g., with respect to task recommendation.

Suggested Citation

  • David Geiger, 2016. "Crowdsourcing Systems," Progress in IS, in: Personalized Task Recommendation in Crowdsourcing Systems, edition 1, chapter 0, pages 7-14, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-22291-2_2
    DOI: 10.1007/978-3-319-22291-2_2
    as

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