Developing a framework towards design understanding for crowdsourcing research: A content analysis

Document Type

Conference Proceeding

Source of Publication

Proceedings of the 28th Australasian Conference on Information Systems, ACIS 2017

Publication Date



© ACIS 2017. Whilst IS academics have increasingly recognised the essence of Crowdsourcing systems for producing information from a large group of people, relevant knowledge of such solution design is still underdeveloped. Existing studies on the Crowdsourcing literature reveal that of the further research directions outlined, none discuss the investigation of Crowdsourcing from an IS design perspective. Through a systematic literature review of over 14 premier IS journals (2010-2017), we found 255 articles of which 63 were suitable for our analysis. From these papers, we identified the gaps in application areas and design issues. We suggest that IS research techniques will demonstrate models, issues, approaches and gaps to inform future research. We identify five application purposes and ten design issues, from the stakeholders and development techniques involved. The analysis suggests Crowdsourcing is an emerging field to which design science could be particularly appropriate.


Formal Power Series and Algebraic Combinatorics


Computer Sciences


Crowdsourcing, Crowdsourcing Model Of Business, Crowdsourcing Systems, Information Systems Design

Scopus ID


Indexed in Scopus


Open Access


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