Crowdsourcing Information Systems - Definition Typology, and Design


Geiger, David ; Rosemann, Michael ; Fielt, Erwin ; Schader, Martin


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URL: https://ub-madoc.bib.uni-mannheim.de/32631
Additional URL: http://aisel.aisnet.org/icis2012/proceedings/Resea...
URN: urn:nbn:de:bsz:180-madoc-326316
Document Type: Conference or workshop publication
Year of publication: 2012
Book title: ICIS 2012 : Proceedings of the 33rd International Conference on Information Systems (ICIS 2012)
Page range: Paper 53
Conference title: Thirty Third International Conference on Information Systems (ICIS 2012)
Location of the conference venue: Orlando, Fla.
Date of the conference: 16.12.2012 - 19.12.2012
Author/Publisher of the book
(only the first ones mentioned)
:
Huang, Ming-Hui
Place of publication: Atlanta, Ga.
Publishing house: AISeL
ISBN: 978-0-615-71843-9
Publication language: English
Institution: Business School > Wirtschaftsinformatik III (Schader -2015)
Subject: 004 Computer science, internet
330 Economics
620 Engineering
Keywords (English): crowdsourcing , information systems , socio-technical systems , typology , taxonomy
Abstract: Crowdsourcing has become a popular approach for capitalizing on the potential of large and open crowds of people external to the organization. While crowdsourcing as a phenomenon is studied in a variety of fields, research mostly focuses on isolated aspects and little is known about the integrated design of crowdsourcing efforts. We introduce a socio-technical systems perspective on crowdsourcing, which provides a deeper understanding of the components and relationships in crowdsourcing systems. By considering the function of crowdsourcing systems within their organizational context, we develop a typology of four distinct system archetypes. We analyze the characteristics of each type and derive a number of design requirements for the respective system components. The paper lays a foundation for IS-based crowdsourcing research, channels related academic work, and helps guiding the study and design of crowdsourcing information systems.
Additional information: Online-Ressource

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Geiger, David ; Rosemann, Michael ; Fielt, Erwin ; Schader, Martin Crowdsourcing Information Systems - Definition Typology, and Design. Open Access Huang, Ming-Hui Paper 53 In: ICIS 2012 : Proceedings of the 33rd International Conference on Information Systems (ICIS 2012) (2012) Atlanta, Ga. Thirty Third International Conference on Information Systems (ICIS 2012) (Orlando, Fla.) [Conference or workshop publication]
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