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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Online Access: | http://hdl.handle.net/10023/18197 https://doi.org/10.1016/j.marpol.2018.01.032 |
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/18197 2023-07-02T03:31:42+02:00 Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection King, Andrew S. Elliott, Nicholas G. Macleod, Catriona K. James, Mark A. Dambacher, Jeffrey M. University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland 2019-07-30 12 application/pdf http://hdl.handle.net/10023/18197 https://doi.org/10.1016/j.marpol.2018.01.032 eng eng Marine Policy King , A S , Elliott , N G , Macleod , C K , James , M A & Dambacher , J M 2018 , ' Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection ' , Marine Policy , vol. 91 , pp. 22-33 . https://doi.org/10.1016/j.marpol.2018.01.032 0308-597X PURE: 252347604 PURE UUID: 3fc93d38-6156-46e0-b632-286d0275c859 RIS: urn:18082E7922ED95A797A44550E41BD678 Scopus: 85044652512 ORCID: /0000-0002-7182-1725/work/57330862 WOS: 000429393500004 http://hdl.handle.net/10023/18197 https://doi.org/10.1016/j.marpol.2018.01.032 © 2018 Elsevier Ltd. All rights reserved. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1016/j.marpol.2018.01.032 QH301 Biology NDAS QH301 Journal article 2019 ftstandrewserep https://doi.org/10.1016/j.marpol.2018.01.032 2023-06-13T18:28:55Z 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 Article in Journal/Newspaper Atlantic salmon University of St Andrews: Digital Research Repository Imta ENVELOPE(156.945,156.945,61.792,61.792) Marine Policy 91 22 33 |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
QH301 Biology NDAS QH301 |
spellingShingle |
QH301 Biology NDAS QH301 King, Andrew S. Elliott, Nicholas G. Macleod, Catriona K. James, Mark A. Dambacher, Jeffrey M. Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
topic_facet |
QH301 Biology NDAS QH301 |
description |
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 |
author2 |
University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland |
format |
Article in Journal/Newspaper |
author |
King, Andrew S. Elliott, Nicholas G. Macleod, Catriona K. James, Mark A. Dambacher, Jeffrey M. |
author_facet |
King, Andrew S. Elliott, Nicholas G. Macleod, Catriona K. James, Mark A. Dambacher, Jeffrey M. |
author_sort |
King, Andrew S. |
title |
Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
title_short |
Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
title_full |
Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
title_fullStr |
Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
title_full_unstemmed |
Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
title_sort |
making better decisions : utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection |
publishDate |
2019 |
url |
http://hdl.handle.net/10023/18197 https://doi.org/10.1016/j.marpol.2018.01.032 |
long_lat |
ENVELOPE(156.945,156.945,61.792,61.792) |
geographic |
Imta |
geographic_facet |
Imta |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
Marine Policy King , A S , Elliott , N G , Macleod , C K , James , M A & Dambacher , J M 2018 , ' Making better decisions : Utilizing qualitative signed digraphs modeling to enhance aquaculture production technology selection ' , Marine Policy , vol. 91 , pp. 22-33 . https://doi.org/10.1016/j.marpol.2018.01.032 0308-597X PURE: 252347604 PURE UUID: 3fc93d38-6156-46e0-b632-286d0275c859 RIS: urn:18082E7922ED95A797A44550E41BD678 Scopus: 85044652512 ORCID: /0000-0002-7182-1725/work/57330862 WOS: 000429393500004 http://hdl.handle.net/10023/18197 https://doi.org/10.1016/j.marpol.2018.01.032 |
op_rights |
© 2018 Elsevier Ltd. All rights reserved. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1016/j.marpol.2018.01.032 |
op_doi |
https://doi.org/10.1016/j.marpol.2018.01.032 |
container_title |
Marine Policy |
container_volume |
91 |
container_start_page |
22 |
op_container_end_page |
33 |
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1770271099154595840 |