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
1-1-2017
Abstract
© 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.
Publisher
Formal Power Series and Algebraic Combinatorics
Disciplines
Computer Sciences
Keywords
Crowdsourcing, Crowdsourcing Model Of Business, Crowdsourcing Systems, Information Systems Design
Scopus ID
Recommended Citation
Miah, Shah Jahan; Hasan, Najmul; Kerr, Don; and Gammack, John G., "Developing a framework towards design understanding for crowdsourcing research: A content analysis" (2017). All Works. 1232.
https://zuscholars.zu.ac.ae/works/1232
Indexed in Scopus
yes
Open Access
no