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Making better decisions: utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection

King, A, Elliott, NG, MacLeod, CK ORCID: 0000-0002-0539-6361, James, MA and Dambacher, JM 2018 , 'Making better decisions: utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection' , Marine Policy, vol. 91 , pp. 22-33 , doi: 10.1016/j.marpol.2018.01.032.

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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.

Item Type: Article
Authors/Creators:King, A and Elliott, NG and MacLeod, CK and James, MA and Dambacher, JM
Keywords: aquaculture, digraph modeling
Journal or Publication Title: Marine Policy
Publisher: Elsevier Sci Ltd
ISSN: 0308-597X
DOI / ID Number: 10.1016/j.marpol.2018.01.032
Copyright Information:

Copyright 2018 Elsevier Ltd.

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