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Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection
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dc.contributor.author | King, Andrew S. | |
dc.contributor.author | Elliott, Nicholas G. | |
dc.contributor.author | Macleod, Catriona K. | |
dc.contributor.author | James, Mark A. | |
dc.contributor.author | Dambacher, Jeffrey M. | |
dc.date.accessioned | 2019-07-29T23:41:16Z | |
dc.date.available | 2019-07-29T23:41:16Z | |
dc.date.issued | 2018-05 | |
dc.identifier | 252347604 | |
dc.identifier | 3fc93d38-6156-46e0-b632-286d0275c859 | |
dc.identifier | 85044652512 | |
dc.identifier | 000429393500004 | |
dc.identifier.citation | King , 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.2018.01.032 | en |
dc.identifier.issn | 0308-597X | |
dc.identifier.other | RIS: urn:18082E7922ED95A797A44550E41BD678 | |
dc.identifier.other | ORCID: /0000-0002-7182-1725/work/57330862 | |
dc.identifier.uri | https://hdl.handle.net/10023/18197 | |
dc.description | Funding for the research was embedded with the Australian Seafood Cooperative Research Centre’s (CRC) future aquaculture production programme (Project 2011-735). | en |
dc.description.abstract | Understanding 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.extent | 12 | |
dc.format.extent | 2446912 | |
dc.language.iso | eng | |
dc.relation.ispartof | Marine Policy | en |
dc.subject | QH301 Biology | en |
dc.subject | NDAS | en |
dc.subject.lcc | QH301 | en |
dc.title | Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Marine Alliance for Science & Technology Scotland | en |
dc.identifier.doi | 10.1016/j.marpol.2018.01.032 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2019-07-30 |
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