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

Andrew S. King, Nicholas G. Elliott, Catriona K. Macleod, Mark A. James, Jeffrey M. Dambacher

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Pages (from-to)22-33
Number of pages12
JournalMarine Policy
Volume91
Early online date16 Feb 2018
DOIs
Publication statusPublished - May 2018

Fingerprint

Dive into the research topics of 'Making better decisions: Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection'. Together they form a unique fingerprint.

Cite this