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Post COVID-19: Health crisis management for the cruise industry · Study

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ArticlePost COVID-19: Health crisis management for the cruise industry

Zhaotong Li2022

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Articlegreen2022

Post COVID-19: Health crisis management for the cruise industry

Zhaotong Li · Xueqin Wang · Xue Li · Kum Fai Yuen

19 citations·0/0 files stored·International Journal of Disaster Risk Reduction

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Cruise Tourism Development and Management Diverse Aspects of Tourism Research Customer Service Quality and Loyalty

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References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.2012Principles and Practice of Structural Equation Modeling 2020Pandemics, tourism and global change: a rapid assessment of COVID-19 2013Corporate social responsibilities, consumer trust and corporate reputation: South Korean consumers' perspectives 2017Modelling and testing consumer trust dimensions in e-commerce 2018Understanding mobile payment users’ continuance intention: a trust transfer perspective 2016The stickiness intention of group-buying websites: The integration of the commitment–trust theory and e-commerce success model

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2023Vulnerability analysis of cruise shipping in ASEAN countries facing COVID-19 pandemic 2022Identification and Differentiation of the Hierarchical Structure of the Caribbean Cruise Shipping Network Based on Route Organization 2024Environmental, economic, and social impacts of cruise development 2023Tourist Behavior in the Cruise Industry Post-COVID-19: An Examination of Service Quality, Corporate Image, and Intentions to Pay and Revisit

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Details

Year2022

Typearticle

Published2022-01-12

VenueInternational Journal of Disaster Risk Reduction

ISSN-L2212-4209

Languageen

Citations19

Files0 public / 0

ShelfCruise Tourism Development and Management

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doi10.1016/j.ijdrr.2022.102792

openalex_workW4206255752

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2023China's cruise tourism policy evolution and effectiveness analysis