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Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance
https://nipr.repo.nii.ac.jp/records/15106
https://nipr.repo.nii.ac.jp/records/151065afb12ad-a190-4999-9b9c-b7ef1c17c93b
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2018-09-04 | |||||
タイトル | ||||||
タイトル | Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance | |||||
タイトル | ||||||
タイトル | Using interpretive structural modeling and fuzzy analytic network process to identify and allocate risks in Arctic shipping strategic alliance | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Arctic | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Risk allocation | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Strategic alliance | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Fuzzy analytic network process (F-ANP) | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | ISM interpretive structural modeling (ISM) | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Jiang, Xiaodan
× Jiang, Xiaodan× Fan, Houming× Zhang, Ying× Yuan, Zhongkai |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. | |||||
書誌情報 |
en : Polar Science 巻 17, p. 83-93, 発行日 2018-09 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 18739652 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.polar.2018.05.009 | |||||
関連名称 | 10.1016/j.polar.2018.05.009 |