Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection
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 tools...
Published in: | Marine Policy |
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Main Authors: | , , , , |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | http://hdl.handle.net/10023/18197 https://doi.org/10.1016/j.marpol.2018.01.032 |
Summary: | 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. Postprint Peer reviewed |
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