Graham, G and Mehmood, R (2014) The Strategic Prototype "Crime-sourcing" and the Science/Science Fiction behind it. Technological Forecasting and Social Change, 84. 86 - 92. ISSN 0040-1625
Abstract
Science fiction prototyping (SFP) and crowdsourcing are among a range of promising methodologies that are set to transform all spheres of human landscape be it science, business or social. This paper exploits the SFP and crowdsourcing methodologies and presents “crime-sourcing”, a prototype designed to explore futuristic crowdsourcing ideas. Its purpose is to provide a fictional scenario that speculates how crowdsourcing could be blended with future technology to develop a “crime-to-conviction” model. This scenario takes the cyber-space concept of crowdsourcing and then transfers it to a hybrid cyber/physical business model context. The story aligns itself with Zuckerman's doctrine that while there is human tendency to “flock together” in crowds, most of our social ties, online or offline, are only with a small set of people with whom we have much in common. The paper concludes with a discussion on contribution of this paper to crowdsourcing theory and the challenges that need to be overcome if prototyping is to become an established foresight methodology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014, Elsevier. This is an author produced version of a paper published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Crowdsourcing; technological forecasting; social change; crime-sourcing; business models; big data |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 May 2015 13:20 |
Last Modified: | 16 Nov 2016 08:06 |
Published Version: | http://dx.doi.org/10.1016/j.techfore.2013.10.026 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.techfore.2013.10.026 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85799 |