A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China

Zhou, Jingen; Chen, Shu‐Ling; Shi, Wenming; Nguyen, Son; Kanrak, Maneerat; Ge, Jiawei

doi:10.1016/j.ocecoaman.2022.106443

Cited by 11 publications

(3 citation statements)

References 64 publications

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“…Some people may argue that COVID-19 is a new threat to the cruise industry; however, there have been several warnings that pandemics would pose a major threat since 2002 [19] . Although SARS has affected the cruise industry, it is obvious that the lesson was not learned by the cruise industry, as no comprehensive contingency plans exist in case of an infectious disease outbreak [71] . The existing outbreak prevention plans for the cruise industry are designed to handle acute gastroenteritis, not for infectious diseases [36] .…”

Section: Resultsmentioning

confidence: 99%

The impacts of COVID-19 on the cruise industry based on an empirical study in China

et al. 2023

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Section: Resultsmentioning

confidence: 99%

The impacts of COVID-19 on the cruise industry based on an empirical study in China

et al. 2023

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“…In the most recent studies, Kumar et al ( 2022 ) and Pal and Shankar ( 2022 ) used SAP-LAP and IRP methodologies for proposing decision-making frameworks. Zhou et al ( 2023 ) used BN modelling integrated with Fuzzy AHP to investigate risks from an SC perspective. Similarly, Hosseini and Ivanov ( 2022 ), Yusriza et al ( 2022 ) and Chhimwal et al ( 2021 ) used BN modelling in their respective research works.…”

Section: Literature Reviewmentioning

confidence: 99%

Building risk mitigation strategies for circularity adoption in Indian textile supply chains

et al. 2023

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Textile industries are among the most polluting and demand urgent management measures to mitigate their negative environmental impact. Thus, it is imperative to incorporate the textile industry into the circular economy and to foster sustainable practices. This study aims to establish a comprehensive, compliant decision framework to analyse risk mitigation strategies for circular supply chain (CSC) adoption in India’s textile industries. The Situations Actors Processes and Learnings Actions Performances (SAP–LAP) technique analyses the problem. However, interpreting the interacting associations between the SAP–LAP model-based variables is somewhat lacking in this procedure, which might skew the decision-making process. As a result, in this study, the SAP–LAP method is accompanied by a novel ranking technique, namely, the Interpretive Ranking Process (IRP), which reduces decision-making issues in the SAP–LAP method and aids in evaluating the model by determining the ranks of variables; furthermore, the study also offers causal relationships among the various risks and risk factors and various identified risk-mitigation actions by constructing Bayesian Networks (BN) based on conditional probabilities. The study’s originality represents the findings using an instinctive and interpretative choice approach to address significant concerns in risk perception and mitigation techniques for CSC adoption in the Indian textile industries. The suggested SAP–LAP and the IRP-based model would assist firms in addressing risk mitigation techniques for CSC adoption concerns by providing a hierarchy of the various risks and mitigation strategies to cope with. The simultaneously proposed BN model will help visualise the conditional dependency of risks and factors with proposed mitigating actions.

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“…Under the impact of COVID-19, these cruise ships were suspended temporarily. During the Covid-19 epidemic, cruise epidemic prevention and control, the risks in the cruise supply chain and the impacts of cruise ship anchoring have received great attention and discussion (Li et al, 2021b;Zhang et al, 2022;Zhou et al, 2023). This has also contributed to the formation of a new pattern in the cruise industry during the post-epidemic recovery process.…”

Section: Introductionmentioning

confidence: 99%

Policy-driven or market-driven? A new perspective on the development of China’s cruise industry

Tong

Chen

2023

Front. Mar. Sci.

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The past 15 years have witnessed the rapid development of China’s cruise industry from scratch and the formation of a policy system in the cruise industry, reflecting the shift of the Chinese government’s attitude towards the cruise industry from wait-and-see, recognition and encouragement to active support. The paper conducts a statistical analysis of 128 policies related to the cruise industry issued by China’s administrative departments at all levels. It is found that the release of policies synchronizes with the development of the cruise industry, with each one providing feedback to the other. The policies do not exhibit a time lag with respect to their effects. The evolution of policy types from macro-level guidance to concrete operation is rapid, with the policy structure gradually improving. In line with current characteristics of the development of China’s cruise industry, the themes of the policies concentrate on five areas: cruise tourism services and products, port construction and development, cruise industry chain expansion, cruise industry environment and cruise industry management. However, there is still a lack of adequate policies to support and guide the industrial upgrading of cruise operation and cruise construction and its green and low-carbon development. In addition, the paper points out the main directions of future policy formulation.

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A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China

Cited by 11 publications

References 64 publications

The impacts of COVID-19 on the cruise industry based on an empirical study in China

The impacts of COVID-19 on the cruise industry based on an empirical study in China

Building risk mitigation strategies for circularity adoption in Indian textile supply chains

Policy-driven or market-driven? A new perspective on the development of China’s cruise industry

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