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#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

  • Datos identificativos

    Identificador: imarina:9245558
    Autores:
    Muritala BAHernández-Lara ABSánchez-Rebull MVPerera-Lluna A
    Resumen:
    Early in the COVID-19 pandemic, the Diamond Princess became the center of the largest outbreak outside the original epicenter in China. This outbreak which left 712 passengers infected and 14 dead, followed by subsequent outbreaks affecting over one-third of the active ships in the cruise industry's global fleet, quickly became a crisis that captured public attention and dominated mainstream news and social media. This study investigates the perception of cruising during these outbreaks by analyzing the tweets on cruising using Natural Language Processing (NLP). The findings show a prevalent negative sentiment in most of the analyzed tweets, while the criticisms directed at the cruise industry were based on perceptions and stereotypes of the industry before the pandemic. The study provides insight into the concerns raised in these conversations and highlights the need for new business models outside the pre-pandemic mass-market model and to genuinely make cruising more environmentally friendly.
  • Otros:

    Autor según el artículo: Muritala BA; Hernández-Lara AB; Sánchez-Rebull MV; Perera-Lluna A
    Departamento: Gestió d'Empreses
    Autor/es de la URV: Hernandez Lara, Ana Beatriz / Muritala, Babajide Abubakr / Sánchez Rebull, María Victoria
    Palabras clave: Social media Sentiment analysis Sarf Risk perception Information integration theory Ewom Crisis communication Coronavirus Big data twitter sentiment sentiment analysis sarf risk perception public-opinion information integration theory future ewom crisis communication big data
    Resumen: Early in the COVID-19 pandemic, the Diamond Princess became the center of the largest outbreak outside the original epicenter in China. This outbreak which left 712 passengers infected and 14 dead, followed by subsequent outbreaks affecting over one-third of the active ships in the cruise industry's global fleet, quickly became a crisis that captured public attention and dominated mainstream news and social media. This study investigates the perception of cruising during these outbreaks by analyzing the tweets on cruising using Natural Language Processing (NLP). The findings show a prevalent negative sentiment in most of the analyzed tweets, while the criticisms directed at the cruise industry were based on perceptions and stereotypes of the industry before the pandemic. The study provides insight into the concerns raised in these conversations and highlights the need for new business models outside the pre-pandemic mass-market model and to genuinely make cruising more environmentally friendly.
    Áreas temáticas: Tourism, leisure and hospitality management Sociología Management Interdisciplinary research in the social sciences Hospitality, leisure, sport & tourism Ciencias sociales Ciências ambientais Business and management
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: babajideabubakr.muritala@estudiants.urv.cat babajideabubakr.muritala@estudiants.urv.cat mariavictoria.sanchez@urv.cat mariavictoria.sanchez@urv.cat anabeatriz.hernandez@urv.cat
    Identificador del autor: 0000-0003-0443-4482 0000-0003-0443-4482 0000-0003-0326-5699 0000-0002-9920-4104 0000-0003-0326-5699 0000-0002-9920-4104 0000-0002-8110-9328
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Tourism Management Perspectives. 41 100948-
    Referencia de l'ítem segons les normes APA: Muritala BA; Hernández-Lara AB; Sánchez-Rebull MV; Perera-Lluna A (2022). #CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism. Tourism Management Perspectives, 41(), 100948-. DOI: 10.1016/j.tmp.2022.100948
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Hospitality, Leisure, Sport & Tourism,Management,Tourism, Leisure and Hospitality Management
    Social media
    Sentiment analysis
    Sarf
    Risk perception
    Information integration theory
    Ewom
    Crisis communication
    Coronavirus
    Big data
    twitter sentiment
    sentiment analysis
    sarf
    risk perception
    public-opinion
    information integration theory
    future
    ewom
    crisis communication
    big data
    Tourism, leisure and hospitality management
    Sociología
    Management
    Interdisciplinary research in the social sciences
    Hospitality, leisure, sport & tourism
    Ciencias sociales
    Ciências ambientais
    Business and management
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