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Next Generation Crowdsourcing for Collective Intelligence
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Number of Authors: 1
2016 (English)Conference paper (Refereed)
Abstract [en]

New techniques leveraging IT-mediated crowds such as Crowdsensing, Situated Crowdsourcing, Spatial Crowdsourcing, and Wearables Crowdsourcing have now materially emerged. These techniques, here termed next generation Crowdsourcing, serve to extend Crowdsourcing efforts beyond the heretofore dominant desktop computing paradigm. Employing new configurations of hardware, software, and people, these techniques represent new forms of organization for IT-mediated crowds. However, it is not known how these new techniques change the processes and outcomes of IT-mediated crowds for Collective Intelligence purposes? The aim of this exploratory work is to begin to answer this question. The work ensues by outlining the relevant findings of the first generation Crowdsourcing paradigm, before reviewing the emerging literature pertaining to the new generation of Crowdsourcing techniques. Premised on this review, a collectively exhaustive and mutually exclusive typology is formed, organizing the next generation Crowdsourcing techniques along two salient dimensions common to all first generation Crowdsourcing techniques. As a result, this work situates the next generation Crowdsourcing techniques within the extant Crowdsourcing literature, and identifies new research avenues stemming directly from the analysis.

Place, publisher, year, edition, pages
National Category
Business Administration
Research subject
Industrial Marketing
URN: urn:nbn:se:ltu:diva-60817OAI: diva2:1050752
Collective Intelligence Conference : NYU Stern School of Business from June 1-3, 2016
Available from: 2016-11-30 Created: 2016-11-30 Last updated: 2016-11-30Bibliographically approved

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