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dc.contributor.authorYearworth, M
dc.contributor.authorWhite, L
dc.date.accessioned2021-08-09T07:53:54Z
dc.date.issued2021-08-25
dc.description.abstractThe use of Problem Structuring Methods (PSMs) to address wicked problems (Rittel and Webber, Churchman), messes (Ackoff), swamps (Rosenhead), in a plural/complex context (Jackson) tends to go without question within the OR community. However, what other methodologies exist in sources outside the systems/PSM/Soft OR corpus that address the same type of problems and what might this say about their nature, their ontology? We approach this question through the use of citation analysis and present some details of alternative methodological approaches from different traditions. At the very least these suggest promising avenues for conversations to share experience by scholars and practitioners alike but also to prompt a re-evaluation of the scope of applicability of PSMs.en_GB
dc.identifier.citation22nd Conference of the International Federation of Operational Research Societies (IFORS 2021), 23 - 27 August, Seoul, Korea. Onlineen_GB
dc.identifier.urihttp://hdl.handle.net/10871/126711
dc.language.isoenen_GB
dc.publisherInternational Federation of Operational Research Societiesen_GB
dc.relation.urlhttps://www.ifors2021.kr/en_GB
dc.rights.embargoreasonUnder embargo until close of conferenceen_GB
dc.rights© 2021 International Federation of Operational Research Societiesen_GB
dc.subjectProblem Structuring Methodsen_GB
dc.subjectSoft ORen_GB
dc.subjectWicked Problemsen_GB
dc.subjectProblem Formulationen_GB
dc.subjectProblematisationen_GB
dc.titleThe Construction of Wicked Problemsen_GB
dc.typeConference paperen_GB
dc.date.available2021-08-09T07:53:54Z
dc.descriptionThis is the final version.en_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2021-06-03
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-06-03
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2021-08-07T14:17:05Z
refterms.versionFCDVoR
refterms.panelCen_GB


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