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dc.contributor.authorJohansen, Iver
dc.date.accessioned2018-03-05T13:09:55Z
dc.date.accessioned2018-03-08T11:30:41Z
dc.date.available2018-03-05T13:09:55Z
dc.date.available2018-03-08T11:30:41Z
dc.date.issued2017
dc.identifier.citationJohansen IJ. Scenario modelling with morphological analysis. Technological forecasting & social change. 2017;126:116-125en_GB
dc.identifier.urihttp://hdl.handle.net/20.500.12242/847
dc.identifier.urihttps://ffi-publikasjoner.archive.knowledgearc.net/handle/20.500.12242/847
dc.descriptionJohansen, Iver. Scenario modelling with morphological analysis. Technological forecasting & social change 2017 ;Volum 126. s. 116-125en_GB
dc.description.abstractScenarios can serve as points of reference in the future for decisions that we have to make today. Morphological analysis provides a structured method for ensuring consistency and relevance in scenario development. This paper outlines a method for characterizing the entire solution space of future outcomes in a given subject field, and suggests a process for classification of an all-encompassing and mutually exclusive set of scenario classes. The method is illustrated with an example case, taken from Norwegian defense planning, of establishing a scenario set that encompasses all external security challenges to Norway as a security actor. Four parameters are defined – Actor, Goal, Method and Means. Each parameter is defined in terms of an exhaustive set of possible states or values. A Cross Consistency Assessment is conducted to exclude solutions deemed to be impossible on either purely logical grounds (internal consistency) or based on real world assessments (external consistency). Six scenario classes are defined: Strategic Attack, Limited Attack, Coercive Diplomacy, Terrorist Attack, Criminality and Military Peace-time Operations.en_GB
dc.language.isoenen_GB
dc.subjectTermSet Emneord::Forsvarsplanlegging
dc.subjectTermSet Emneord::Scenarioer
dc.titleScenario modelling with morphological analysisen_GB
dc.typeArticleen_GB
dc.date.updated2018-03-05T13:09:55Z
dc.identifier.cristinID1477683
dc.identifier.cristinID1477683
dc.identifier.doi10.1016/j.techfore.2017.05.016
dc.source.issn0040-1625
dc.source.issn1873-5509
dc.type.documentJournal article
dc.relation.journalTechnological forecasting & social change


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