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The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

The purpose of this study is to investigate the recovery and resilience tourism strategies and possible future development of four main Chinese tourism cities.

The authors collected data from the official accounts of tourism administrations of these cities, tourist attractions and opinions from media and newspapers in Sina Weibo platform. The authors adopted an inductive approach in observing relevant social media posts and applied content analysis to identify main China’s tourism prevention and recovery strategies.

During the mass pandemic infection period, top-down prevention and control measures were implemented by the Chinese central and local governments, with feasible and regional recovery policies and protocols being adapted according to local situations. Measures related to tourism industrial re-employment, improvement of international images and governmental financial supports to re-boost local tourism in Chinese cities were paid great attention. Digitalization, close-to-nature and cultural heritages became important factors in the future development of China’s tourism. Dark tourism, as a potential tourism recovery strategy, also obtained huge emergence, for the memory of people deceased in the pandemic and for the inheritance of national patriotism.

This study enriches the current literature in urban tourism recovery studies analyzing the specific case of Chinese tourism cities and fulfill some voids of previous research mostly focused on the first wave of the pandemic and the recovery strategies mainly of Western cities. It also provides valuable suggestions to tourism practitioners, destinations and urban cities in dealing with regional tourism recession and finding possible solutions for the scenario associated to the COVID-19 and other similar health crisis.

As the current Coronavirus 2019 pandemic eases, international tourism, which was greatly affected by the outbreak, is gradually recovering. The attraction of countries to overseas tourists is related to their overall performance in the pandemic. This research integrates the data of vaccination of different countries, border control policy and holidays to explore their differential impacts on the overseas tourists’ intention during the pandemic. This is crucial for destinations to built their tourism resilience. It will also help countries and industry organizations to promote their own destinations to foreign tourism enterprises.

This study proposes an analysis based on panel data for ten countries over 1,388 days. The coefficient of variation is used to measure monthly differences of Chinese tourists’ intention to visit overseas country destinations.

Results show that, for tourist intention of going abroad: border control of the destination country has a significant negative impact; daily new cases in the destination country have a significant negative impact; domestic daily new cases have a significant positive impact; holidays have significant negative impact; daily vaccination of the destination countries has significant positive impact; and domestic daily vaccination have negative significant impact.

First, there is a large uncertainty in studying consumers’ willingness to travel abroad in this particular period because of unnecessary travel abroad caused by the control of the epidemic. Second, there are limitations in studying only Chinese tourists, and future research should be geared toward a broader range of research pairs.

First, from the government perspective, a humane response can earn the respect and trust of tourists. Second, for tourism industry, to encourage the public take vaccine would be beneficial for both the tourism destination and foreign tourism companies. The same effect can be achieved by helping tourists who are troubled by border control.

First, this research provides suggestions for the government and the tourism industry to deal with such a crisis in the future. Second, this study found that vaccination has a direct impact on tourism. This provides a basis for improving people’s willingness to vaccinate. Thirdly, this study proves suggestion for the destinations to build tourism resilience.

This study analyzes the unique control measures and vaccination in different countries during the pandemic, then provides suggestions for the tourism industry to prepare for the upcoming postpandemic tourism recovery. This study is valuable for improving the economic resilience of tourism destinations. Additionally, it helps to analyze the advantages and disadvantages of different restrain policies around the world.

This study aims to introduce a dynamic perspective of tourism resilience by analyzing tourism demand in Spain during the 2020 and 2021 summers in the context of the COVID-19 pandemic.

This study uses regression and Lasso-type methods to demonstrate a great explanatory capacity of past determinants to explain the tourism demand of the Spanish provinces.

Results show how the previous specialization of the domestic market, the density and the geographic location related to the type of product are behind the bulk of the territorial differences in demand resilience, although in 2021 there has been a process of adaptation to the new context.

This study contributes to the theoretical understanding of tourist behavior and tourism destination management by introducing the concept of resilience dynamics of destinations.

The results are useful, on the one hand, for tourist destinations to understand the different stages of recovery from a shock, and on the other hand, to go in deep in consumer behavior after a shock.

These findings represent a paradigm shift in the static conception of resilience in tourism.

本文通过分析 2020 年和 2021 年夏季 COVID-19 大流行背景下西班牙的旅游需求, 介绍了旅游业复原力的动态视角。

我们使用回归和套索型方法来证明过去的决定因素解释西班牙各省旅游需求的能力。

我们的结果表明, 尽管 2021 年出现了一个适应新环境的过程, 但之前国内市场的专业化、密度以及提供的产品的位置相关类型是造成需求弹性的大部分地域差异的原因。

这些发现代表了旅游业复原力静态概念的范式转变。

本研究通过引入目的地特定弹性动态的概念, 有助于对游客行为和旅游目的地管理的理论理解。

一方面, 研究结果有助于旅游目的地了解从冲击中恢复的不同阶段, 另一方面有助于探索冲击后的消费者行为。

Este artículo presenta una perspectiva dinámica sobre la resiliencia del turismo mediante el análisis de la demanda turística en España durante los veranos de 2020 y 2021 en el contexto de la pandemia de COVID-19.

Utilizamos métodos de regresión y tipo Lasso para demostrar la capacidad de los determinantes pasados para explicar la demanda turística en las provincias españolas.

Nuestros resultados muestran cómo la especialización previa del mercado interno, la densidad y el tipo de producto ofrecido relacionado con la ubicación están detrás del grueso de las diferencias territoriales en la resiliencia de la demanda, aunque en 2021 hubo un proceso de adaptación al nuevo contexto.

Estos hallazgos representan un cambio de paradigma en la concepción estática de la resiliencia en el turismo.

Este estudio contribuye a la comprensión teórica de los comportamientos turísticos y la gestión de los destinos turísticos al introducir el concepto de dinámica de resiliencia específica del destino.

Por un lado, los resultados son útiles para que los destinos turísticos comprendan las diferentes etapas de recuperación de un shock y, por otro lado, para explorar el comportamiento del consumidor después de un shock.

Graphical abstract: The evaluation of the vulnerability of tourism.

This study aims to provide an overview, the state-of-the-art “research fronts”, the emerging themes of investigation and a research agenda of crisis communication for destinations’ image.

This research is conducted with a bibliographic coupling study, complemented with an H-Classic classification and a thematic analysis of the articles included in the four clusters provided by the bibliometric methodology (papers dating from 2017 to 2021, both years included).

Based on the bibliometric analysis, four thematic clusters were identified. Two of these clusters supply the “research fronts”, the most current themes in a scientific field: Cluster 1 addresses communication related to tourists’ safety, and cluster 2 enhances the role of stakeholders’ collaboration to create destinations resilience in crisis communication. The other two clusters highlight emerging themes for future investigation: Cluster 3 focuses on recovery marketing communication strategies for a post-crisis era, and cluster 4 analyses how crisis communication strategies contribute to reduce tourists’ risk perception and boosting travel intention. Finally, a future research agenda is proposed, based on the emerging themes from this study.

To the best of the authors’ knowledge, this is the first bibliometric study to analyse crisis communication for destinations’ image (pre-crisis, crisis and post-crisis). This study, which covers the most recent academic literature in this field, provides insights of communication strategies from recent crises and disasters within the “research fronts”. Besides, a research agenda useful for future scholar investigation is proposed with its emerging themes. These rising topics and learnings from past events could be used by destination marketing organisations in crisis communication for destination image recovery in the current post-pandemic scenario or in upcoming crises or disasters.

危机和灾难中目的地形象沟通：回顾和未来研究议程

摘要

本研究提供了目的地形象危机沟通的概述、最先进的“研究前沿”、新兴的研究主题以及研究议程。

本文进行了书目耦合研究, 辅以 H-经典分类和对文献计量方法提供的四个集群中包含的文章的主题分析 (论文日期为 2017–2021 年间)。

根据文献计量分析, 确定了四个主题集群。 其中两个集群提供“研究前沿”, 这是科学领域的最新主题：集群 一 解决与游客安全相关的沟通, 集群 二 加强利益相关者合作的作用, 以在危机沟通中创造目的地恢复力。 其他两个集群突出了未来调查的新兴主题：集群 三 侧重于后危机时代的复苏营销传播策略, 集群 四分析危机传播策略如何有助于降低游客的风险感知和提高旅行意愿。最后, 本文提出了基于新兴主题的未来研究议程。

据我们所知, 这是第一个分析了目的地形象的危机传播（危机前、危机和危机后）的, 独特的文献计量研究。该研究涵盖了该领域最新的学术文献, 通过其“研究前沿”提供了有关近期危机和灾难的沟通策略的见解。此外, 本文还提出了具有新兴主题的研究议程。这些新兴话题以及从过去事件中吸取的教训, 可以被目的地营销组织 (DMO) 用来进行灾难沟通, 以便在当前的大流行后情景或未来的危机或灾难中恢复目的地的形象。

Comunicación Para la imagen de destinos en crisis y desastres: revisión y futura agenda de investigación

Resumen

Este estudio proporciona una perspectiva general, los “research fronts”- los temas más actuales de una disciplina científica-, los temas emergentes y una agenda de investigación sobre comunicación de crisis de la imagen de los destinos turísticos.

La investigación está basada en un análisis bibliográfico coupling, complementado con una clasificación h-Classics y un análisis temático de todos los artículos examinados con esta metodología bibliométrica (artículos fechados entre 2017 y 2021, ambos años incluidos).

Con este análisis bibliométrico, se identifican cuatro clusters temáticos. Dos de ellos, presentan los “research fronts”, los temas más vigentes de un campo científico: el cluster 1 se refiere a la comunicación realizada para transmitir el concepto de seguridad a los turistas, y el cluster 2 destaca la relevancia de la colaboración de todos los agentes turísticos para crear resiliencia en los destinos en la comunicación de crisis. Los otros dos clusters recogen los temas emergentes de investigación futura: el cluster 3 se centra en las estrategias de marketing para la época de postcrisis y el cluster 4 analiza cómo la comunicación contribuye a reducir la percepción de riesgo de los turistas y, por tanto, a potenciar su intención de viaje. Por último, el artículo propone una agenda de investigación basada en estos temas emergentes.

Hasta donde tenemos conocimiento, éste es el primer estudio bibliométrico especialmente enfocado a la comunicación de crisis para la imagen de los destinos turísticos (con sus tres etapas, precrisis, crisis y poscrisis). Esta investigación, que analiza la literatura más reciente en este campo, proporciona conocimiento sobre la comunicación de las crisis y desastres más recientes, a través de sus “research fronts”. Asimismo, propone una agenda con nuevos temas que están surgiendo en esta disciplina, útil para futuras investigaciones académicas. Dichos temas, junto con los aprendizajes de incidentes pasados, pueden ser usados por las Organizaciones de Marketing de Destinos (DMO, en sus siglas en inglés) para incorporarlos en su comunicación de crisis destinada a la recuperación de la imagen de los destinos turísticos en el actual escenario post pandemia o en futuras crisis o desastres.

This paper presents the impact of the COVID-19 pandemic on Vietnam's tourism industry to propose appropriate recovery strategies in the future.

This study uses a combination of research methods. Data were collected from the Ministry of Culture, Sports and Tourism, General Statistics Office, Vietnam National Administration of Tourism and Ministry of Health. Non-parametric statistical methods were applied to analyze the differences between epidemic and non-epidemic periods and find correlations between the number of infections and data related to the performance of the tourism industry. In-depth interviews with 20 people linked to tourism activities were conducted to analyze the impacts and propose strategies for future recovery.

The results demonstrate the severe impact of the pandemic on Vietnam's tourism industry based on a decrease in the number of visitors, business activities, revenue and employment rate. Therefore, to recover tourism – Vietnam's key economic sector in the future – developing reasonable strategies to build a safe tourism environment, building a sustainable tourist market, diversifying and improving tourism high-quality tourism products, marketing, human resources, digital transformation and sustainable tourism are necessary, along with the development trend of the industry after COVID-19.

This paper synchronously and systematically presents the effects of COVID-19 on Vietnam's tourism industry based on official data. Strategies are proposed to handle these effects on a reliable scientific basis. This study can be considered a valuable reference for researchers and managers of tourism in developing countries, such as Vietnam.

This paper analyses the impact of the COVID-19 pandemic on Myanmar’s tourism industry, identifying challenges and innovations, and predicting future trends to foster a resilient and sustainable sector.

The study uses a comprehensive analysis of tourism trends, government and private sector responses and changes in tourist behaviour, employing data, case studies and policy reviews.

The pandemic significantly disrupted Myanmar’s tourism, causing economic losses and shifts towards sustainable, outdoor and cultural experiences. Effective strategies by the government and private sector are aiding recovery and suggesting a more diverse and resilient future.

The research is limited by the availability of data during the pandemic, highlighting the need for ongoing strategy adaptation.

The study recommends digitalization, health protocols, domestic tourism focus and sustainable practices for a robust post-pandemic industry.

The study emphasizes the pandemic’s social impact on tourism-dependent communities and the need for inclusive, sustainable tourism practices.

Itprovides unique insights into COVID-19’s multifaceted impact on Myanmar’s tourism, offering valuable information for future sector strategies.

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.

Effective post-disaster communication is essential for destination marketing organizations to encourage visitors following natural disasters. This research aimed to analyze the impact of two typical types of post-disaster communication messages – solidarity messages and testimonial messages – on post-disaster visiting intention. This research proposes effective communication strategies for post-disaster destination marketing.

For the case of Jiuzhai Valley, China, which experienced market recovery after two years of rebuilding following a 2017 earthquake, this study designed three contextual experiments based on post-disaster communication scenarios on the Internet and social media to test the causal chain between recovery message types and post-disaster visiting intentions. The data were analyzed using analysis of variance, independent samples t-tests, and the bootstrap method.

The results indicate that both solidarity messages and testimonial messages evoked higher visiting intention than the no-message group. However, solidarity messages (vs testimonial messages) were more effective when shared on the destination management organization's official account than when they were shared on an influencer's account, with their effects being mediated by the symbolic – as opposed to the hedonic – value of tourist behavior.

Destination management organizations should actively carry out marketing communication through the Internet and social media for areas that have experienced disasters. Crisis communicators should consider inviting popular social media influencers to visit the destination and share their experiences to enhance market confidence, while also paying more attention to the operation of official social media accounts.

This study sheds light on the use of the Internet and social media as tools for post-disaster marketing. By expanding on post-disaster communication theory, this study fills a research gap regarding the effectiveness of tourism marketing strategies after a crisis.

The impact of COVID-19 on tourism destinations has been severe, but a future crisis is never far away. How communities can better prepare for disasters to come in the near future continues to be researched. This research aims to understand the tourism community’s responses to the COVID-19 pandemic and present the Tourism Community Resilience Model as a useful instrument to help communities better respond to disasters in the future.

This research uses a qualitative research approach which seeks to understand phenomena, events, social activities, attitudes, beliefs, perceptions and individual and group opinions that are dynamic in character in accordance with the situation in the field. Research primary data is in the form of Kuta Traditional Village local community responses in enduring the COVID-19 pandemic conducted between January and May 2022. These data were obtained through in-depth observations and interviews involving informants based on purposive sampling, including traditional community leaders, village officials, tourism actors (i.e. street vendors, tourist local guides, taxi drivers and art workers) and tourism community members. We selected the informants who are not only directly impacted by the pandemic, but also some of them have to survive during the pandemic because they do not have other job options. The results of previous research and government data concerning the pandemic and community resilience were needed as secondary data, which were obtained through a study of the literature. The data which had been obtained were further analysed based on the Interpretative Phenomenological Analysis (IPA) technique, which seeks to make meaning of something from the participants’ perspective and the researchers’ perspective as a result there occurs a cognition of a central position.

Based on findings from Bali, Indonesia, this resilience model for the tourism community was created in response to the difficulties and fortitude shown by the community during the COVID-19 pandemic. It comprises four key elements, namely the Local Wisdom Foundation, Resource Management, Government Contributions and External Community Support. These elements are all rooted in the concepts of niskala (spirituality) and sekala (real response); it is these elements that give the tourism community in the Kuta Traditional Village a unique approach, which can inspire other tourism destinations in other countries around the world.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

The existence of the resilience model strengthens local community social cohesion, which has been made stronger by the bonds of culture and shared faith in facing disaster. This social cohesion then stimulates the strength of sustainable and long-term community collaboration in the post-pandemic period. For tourism businesses, having strong connections with the local communities is an important condition to thrive.

The value of this research is the Tourism Resilience Community Model, which is a helpful tool to optimise and improve future strategies for dealing with disasters. Illustrated by this Balinese example, this paper emphasises the importance of adding social factors such as niskala and sekala to existing community resilience models. Addressing these local characteristics is the innovative aspect of this paper and will help inspire communities around the world to prepare for future disasters better and build more sustainable and resilient tourism destinations elsewhere.