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

Citation

King, A and Elliott, NG and MacLeod, CK and James, MA and Dambacher, JM, Making better decisions: utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection, Marine Policy, 91 pp. 22-33. ISSN 0308-597X (2018) [Refereed Article]


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DOI: doi:10.1016/j.marpol.2018.01.032

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 Details

Item Type:Refereed Article
Keywords:aquaculture, digraph modeling
Research Division:Agricultural and Veterinary Sciences
Research Group:Fisheries Sciences
Research Field:Aquaculture
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - Aquaculture
Objective Field:Fisheries - Aquaculture not elsewhere classified
UTAS Author:King, A (Mr Andrew King)
UTAS Author:MacLeod, CK (Associate Professor Catriona MacLeod)
UTAS Author:Dambacher, JM (Dr Jeffrey Dambacher)
ID Code:131779
Year Published:2018
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2019-04-04
Last Modified:2019-04-04
Downloads:0

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