Crowdsourcing information systems : a systems theory perspective

Geiger, David, Rosemann, Michael, & Fielt, Erwin (2011) Crowdsourcing information systems : a systems theory perspective. In Proceedings of the 22nd Australasian Conference on Information Systems (ACIS 2011), Sydney, Australia.

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Abstract

Crowdsourcing harnesses the potential of large and open networks of people. It is a relatively new phenomenon and attracted substantial interest in practice. Related research, however, lacks a theoretical foundation. We propose a system-theoretical perspective on crowdsourcing systems to address this gap and illustrate its applicability by using it to classify crowdsourcing systems. By deriving two principal dimensions from theory, we identify four fundamental types of crowdsourcing systems that help to distinguish important features of such systems. We analyse their respective characteristics and discuss implications and requirements for various aspects related to the design of such systems. Our results demonstrate that systems theory can inform the study of crowdsourcing systems. The identified system types and the implications on their design may prove useful for researchers to frame future studies and for practitioners to identify the right crowdsourcing systems for a particular purpose.

Impact and interest:

29 citations in Scopus
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ID Code: 47466
Item Type: Conference Paper
Refereed: Yes
Keywords: Crowdsourcing, systems theory, crowdsourcing systems, crowd services, information systems
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2011 (please consult the authors).
Deposited On: 05 Dec 2011 01:14
Last Modified: 05 Dec 2011 16:56

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