Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection
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.
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
Publication
Marine Policy
Status
Peer reviewed
ISSN
0308-597XType
Journal article
Description
Funding for the research was embedded with the Australian Seafood Cooperative Research Centre’s (CRC) future aquaculture production programme (Project 2011-735).Collections
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