Crowdsourcing Systems

David Geiger
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David Geiger: University of Mannheim

Chapter Chapter 2 in Personalized Task Recommendation in Crowdsourcing Systems, 2016, pp 7-14 from Springer

Abstract: 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.

Keywords: Information System; Organizational Function; External Customer; Task Recommendation; Informational Product (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-22291-2_2

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DOI: 10.1007/978-3-319-22291-2_2

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