Crowdsourcing information systems : a systems theory perspective


Autoria(s): Geiger, David; Rosemann, Michael; Fielt, Erwin
Data(s)

2011

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/47466/

Relação

http://eprints.qut.edu.au/47466/1/acis_-_2011_-_Crowdsourcing_Information_Systems_-_A_Systems_Theory_Perspective.pdf

http://www.acis2011.org/

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.

Direitos

Copyright 2011 (please consult the authors).

Fonte

Faculty of Science and Technology

Palavras-Chave #080600 INFORMATION SYSTEMS #Crowdsourcing #systems theory #crowdsourcing systems #crowd services #information systems
Tipo

Conference Paper