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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:	https://doi.org/10.1016/j.marpol.2018.01.032
Copyright Information:	Copyright 2018 Elsevier Ltd.
Related URLs:	Google Scholar: MacLeod, CK UTAS Profile: MacLeod, CK
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