Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance
This paper aims to present a novel and useful analytical technique to identify risk factors and calculate risk share proportions in the prospective Arctic shipping strategic alliance, an alliance formed by shipping companies, using the combination of interpretive structural modeling (ISM) and fuzzy...
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ftnipr:oai:nipr.repo.nii.ac.jp:00015106 2023-05-15T14:46:37+02:00 Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance 2018-09 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=15106 http://id.nii.ac.jp/1291/00015016/ en eng https://doi.org/10.1016/j.polar.2018.05.009 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=15106 http://id.nii.ac.jp/1291/00015016/ Polar Science, 17, 83-93(2018-09) 18739652 Arctic Risk allocation Strategic alliance Fuzzy analytic network process (F-ANP) ISM interpretive structural modeling (ISM) Journal Article 2018 ftnipr https://doi.org/10.1016/j.polar.2018.05.009 2022-12-03T19:43:10Z This paper aims to present a novel and useful analytical technique to identify risk factors and calculate risk share proportions in the prospective Arctic shipping strategic alliance, an alliance formed by shipping companies, using the combination of interpretive structural modeling (ISM) and fuzzy analytic network process (F-ANP). Based on in-depth review of relevant literature and interviews with experts, thirty-three risk factors are identified and categorized into five clusters: environment, service and infrastructure, policy, economy, and relation. The ISM technique is applied to identify inherent interactions among risk factors and construct a structural graph. Based on the results of ISM, F-ANP is then used to quantify risk allocation proportion. The results reveal that establishing an alliance can effectively balance the risk sharing proportion among shipping enterprises and the alliance should focus on monitoring the environment, service and communication risks. The proposed modeling approach can be extremely valuable for Arctic shipping alliances to focus on the most prominent risks and effectively allocate risks among partners. Article in Journal/Newspaper Arctic Polar Science Polar Science National Institute of Polar Research Repository, Japan Arctic Polar Science 17 83 93 |
institution |
Open Polar |
collection |
National Institute of Polar Research Repository, Japan |
op_collection_id |
ftnipr |
language |
English |
topic |
Arctic Risk allocation Strategic alliance Fuzzy analytic network process (F-ANP) ISM interpretive structural modeling (ISM) |
spellingShingle |
Arctic Risk allocation Strategic alliance Fuzzy analytic network process (F-ANP) ISM interpretive structural modeling (ISM) Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance |
topic_facet |
Arctic Risk allocation Strategic alliance Fuzzy analytic network process (F-ANP) ISM interpretive structural modeling (ISM) |
description |
This paper aims to present a novel and useful analytical technique to identify risk factors and calculate risk share proportions in the prospective Arctic shipping strategic alliance, an alliance formed by shipping companies, using the combination of interpretive structural modeling (ISM) and fuzzy analytic network process (F-ANP). Based on in-depth review of relevant literature and interviews with experts, thirty-three risk factors are identified and categorized into five clusters: environment, service and infrastructure, policy, economy, and relation. The ISM technique is applied to identify inherent interactions among risk factors and construct a structural graph. Based on the results of ISM, F-ANP is then used to quantify risk allocation proportion. The results reveal that establishing an alliance can effectively balance the risk sharing proportion among shipping enterprises and the alliance should focus on monitoring the environment, service and communication risks. The proposed modeling approach can be extremely valuable for Arctic shipping alliances to focus on the most prominent risks and effectively allocate risks among partners. |
format |
Article in Journal/Newspaper |
title |
Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance |
title_short |
Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance |
title_full |
Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance |
title_fullStr |
Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance |
title_full_unstemmed |
Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance |
title_sort |
using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in arctic shipping strategic alliance |
publishDate |
2018 |
url |
https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=15106 http://id.nii.ac.jp/1291/00015016/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Polar Science Polar Science |
genre_facet |
Arctic Polar Science Polar Science |
op_relation |
https://doi.org/10.1016/j.polar.2018.05.009 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=15106 http://id.nii.ac.jp/1291/00015016/ Polar Science, 17, 83-93(2018-09) 18739652 |
op_doi |
https://doi.org/10.1016/j.polar.2018.05.009 |
container_title |
Polar Science |
container_volume |
17 |
container_start_page |
83 |
op_container_end_page |
93 |
_version_ |
1766317834319691776 |