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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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