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dc.contributor.authorKing, Andrew S.
dc.contributor.authorElliott, Nicholas G.
dc.contributor.authorMacleod, Catriona K.
dc.contributor.authorJames, Mark A.
dc.contributor.authorDambacher, Jeffrey M.
dc.date.accessioned2019-07-29T23:41:16Z
dc.date.available2019-07-29T23:41:16Z
dc.date.issued2018-05
dc.identifier252347604
dc.identifier3fc93d38-6156-46e0-b632-286d0275c859
dc.identifier85044652512
dc.identifier000429393500004
dc.identifier.citationKing , A S , Elliott , N G , Macleod , C K , James , M A & Dambacher , J M 2018 , ' Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection ' , Marine Policy , vol. 91 , pp. 22-33 . https://doi.org/10.1016/j.marpol.2018.01.032en
dc.identifier.issn0308-597X
dc.identifier.otherRIS: urn:18082E7922ED95A797A44550E41BD678
dc.identifier.otherORCID: /0000-0002-7182-1725/work/57330862
dc.identifier.urihttps://hdl.handle.net/10023/18197
dc.descriptionFunding for the research was embedded with the Australian Seafood Cooperative Research Centre’s (CRC) future aquaculture production programme (Project 2011-735).en
dc.description.abstractUnderstanding causal relationships within complex business environments represents an essential component in a decision-maker's toolset when evaluating alternative aquaculture production technologies. This article assesses the utility of employing signed digraph qualitative modeling to support technology selection decision-making through evaluating the adoption of three alternative production expansion strategies (offshore production, IMTA, or land-based RAS) by the Atlantic salmon industry. Results underlined the benefits of strategically understanding the dynamics of demand growth, emphasized the requirement to address societal concerns early; and indicated that levels of ambiguity are lowest with expansion offshore and highest with land-based RAS growout. The research suggests that signed digraph modeling can provide an objective perspective on the levels of uncertainty and causal linkages within a business environment when exploring aquaculture adoption technology scenarios.
dc.format.extent12
dc.format.extent2446912
dc.language.isoeng
dc.relation.ispartofMarine Policyen
dc.subjectQH301 Biologyen
dc.subjectNDASen
dc.subject.lccQH301en
dc.titleMaking better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selectionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.identifier.doi10.1016/j.marpol.2018.01.032
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-07-30


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