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Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection
|King, Andrew S.
|Elliott, Nicholas G.
|Macleod, Catriona K.
|James, Mark A.
|Dambacher, Jeffrey M.
|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
|PURE UUID: 3fc93d38-6156-46e0-b632-286d0275c859
|Funding for the research was embedded with the Australian Seafood Cooperative Research Centre’s (CRC) future aquaculture production programme (Project 2011-735).
|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.
|© 2018 Elsevier Ltd. All rights reserved. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1016/j.marpol.2018.01.032
|Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection
|University of St Andrews. School of Biology
|University of St Andrews. Marine Alliance for Science & Technology Scotland
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