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dc.contributor.authorObieke, CC
dc.contributor.authorMilisavljevic-Syed, J
dc.contributor.authorHan, J
dc.date.accessioned2023-06-21T13:00:41Z
dc.date.issued2023-06-19
dc.date.updated2023-06-20T13:15:51Z
dc.description.abstractThe availability of digital data in the fourth industrial revolution brings different trends with new opportunities and challenges for the engineering design community. As an opportunity, these trends would impact engineering design. However, the challenge is finding applications for these trends in engineering design. Crowdsourcing is one of the trends inspired by digital data. It is outsourcing an individually performed task to be mass-performed. This paper explores the application of crowdsourcing in identifying engineering design problems. Identifying an engineering design problem is an aspect of engineering design considered challenging but necessary for inventions. Secondary data from 63 invention-related cases and an interview with a renowned UK inventor are presented. The data contains scenarios on how the engineering design problems solved to qualify for a UK patent grant or application are identified. Lessons from the case studies are presented and discussed, especially regarding crowdsourcing engineering design problems. These seem to be promising ways of supporting the identification of new engineering design problems with inventive benefits once solved.en_GB
dc.format.extent1107-1116
dc.identifier.citationVol. 3, pp. 1107-1116en_GB
dc.identifier.doihttps://doi.org/10.1017/pds.2023.111
dc.identifier.urihttp://hdl.handle.net/10871/133458
dc.identifierORCID: 0000-0003-3240-4942 (Han, Ji)
dc.language.isoenen_GB
dc.publisherCambridge University Pressen_GB
dc.rights© The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.en_GB
dc.subjectDesign engineeringen_GB
dc.subjectCrowdsourcingen_GB
dc.subjectEarly design phasesen_GB
dc.subjectDigital Dataen_GB
dc.subjectProblem-exploringen_GB
dc.titleCrowdsourcing engineering design problems: learning from experiencesen_GB
dc.typeArticleen_GB
dc.date.available2023-06-21T13:00:41Z
dc.descriptionThis is the final version. Available on open access from Cambridge University Press via the DOI in this record. en_GB
dc.descriptionInternational Conference on Engineering Design (ICED23), Bordeaux, France, 24-28 July 2023
dc.identifier.eissn2732-527X
dc.identifier.journalProceedings of the Design Societyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/ en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-06-19
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-06-21T12:58:43Z
refterms.versionFCDVoR
refterms.dateFOA2023-06-21T13:00:44Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-06-19


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© The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Except where otherwise noted, this item's licence is described as © The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.