Search results

This paper aims to investigate how information and communication technology (ICT) services and digital finance affect the development of international tourism.

The two-way fixed effect panel regression model, spatial econometric model, panel threshold regression model and panel quantile regression model are used. Data on tourism, economic and social development in 198 Chinese cities from 2011 to 2020 are analyzed.

This study finds that digital economy including ICT services and digital finance has significantly promoted the development of international tourism industry, while there is a negative spatial spillover effect. The promotion effect of international tourism increases significantly after digital innovation reaches the threshold value. International tourism is benefiting more from digital economy with the development of international tourism industry.

The development quality of international tourism industry has not been analyzed due to data limitations, and the mechanism has not been tested.

This study creatively reveals the development of international tourism industry in the digital economy era from ICT services and digital finance perspectives. This study also shows the spatial, nonlinear and asymmetric relationship between digital economy and international tourism.

This study critically examines the transformative impact of the “North Sea TikTok” phenomenon on the marine tourism sector, emphasizing the role of employee training in fostering resilience and adaptability within marine economics and integrated marine systems. It delves into how viral social media trends influence marine tourism destinations, particularly the North Sea, affecting local economies, marine resource management and tourism strategies. By analyzing this trend, the paper seeks to uncover how marine tourism destinations can effectively respond to the challenges and opportunities presented by digital media-driven tourism.

Employing a multidisciplinary framework that merges insights from digital marketing, risk perception in tourism and human resource management, this paper provides a comprehensive qualitative analysis of the “North Sea TikTok” trend. Through a meticulous content analysis of viral videos and an examination of user engagement metrics, alongside a thorough review of contemporary literature in marine tourism and sustainability, the study unpacks the far-reaching implications of social media on marine tourism ecosystems.

The analysis reveals that the “North Sea TikTok” trend has markedly altered public perceptions of the North Sea, catalyzing a shift toward adventure and risk-taking tourism. This pivot promises economic rejuvenation for local tourism sectors and necessitates agile marine management strategies to accommodate the evolving demands. Implementing innovative employee training programs focusing on safety protocols, environmental conservation and digital engagement is central to managing these dynamics. The paper emphasizes integrating sustainable practices to ensure the equitable growth of marine tourism economies and environmental preservation.

This paper pioneers exploring the nexus between social media trends and their operational and strategic impacts on marine tourism management and economics. Synthesizing social media's viral dynamics with marine tourism development introduces groundbreaking insights into adapting marine tourism strategies in the digital age. It emphasizes the critical need for a skilled workforce capable of navigating the complexities of digital trend-driven tourism markets, proposing a novel model for employee training that aligns with the shifting paradigms of marine tourism engagement. This unique contribution advances academic discourse in marine economics and provides practical frameworks for stakeholders aiming to harness social media trends for sustainable tourism development.

This study investigates the effect of COVID-19 pandemic perceived health risk on traveller's post-pandemic perception and future travel intention. The study aims to provide insight into the unprecedented COVID-19 pandemic and its potential influence on tourist behaviour.

Two hundred and forty-four responses were gathered quantitatively through an online survey. The research hypotheses were analysed using the partial least square structural equation modelling (PLS-SEM).

This study found that COVID-19 affects tourists' travel behaviour. Key findings found that perceived health risk discourages travel attitudes and eventually lessens their future travel intentions. Results also suggest future strategies/directions for restarting the tourism industry.

The study outcome assists tourism stakeholders in understanding the changes in tourist behaviour amid the heightened perceived health risk of COVID-19. Tourism policymakers and industry players should consider exploring how to mitigate similar health crises in the future.

By extending the theory of planned behaviour (TPB), this study establishes a theoretical framework in exploring the interrelationships between perceived risk, post-pandemic perception and future travel intention. This study sets a significant research agenda for future tourism research in understanding the mechanism behind health risk perceptions and tourist behaviour.

This paper delves into the multi-faceted factors influencing the adoption and utilisation of online travel agencies (OTAs) for reserving hotel accommodations. The study aims to expand upon the unified theory of acceptance and use of technology (UTAUT2) framework to accomplish this objective by integrating the critical dimension of technology readiness (TR).

Four hundred and fifty-three (453) inbound tourists were asked to share their feedbacks on their recent OTA booking experience. Structural equation modelling (SEM) was used to confirm the study model and test the study hypotheses.

This study found that the motivating TR attributes favourably affect the acceptance and actual use of OTAs, while the inhibitors TR reflects adverse effects on OTA’s usage. On the other hand, the OTAs usage attributes: performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, price value and habit are all significant determinants of consumers' behavioural intention.

The originality of this study lies in providing a more comprehensive explanation and prediction of consumer behaviour in relation to OTAs. Specifically, it recognises the importance of TR as a significant determinant of technology adoption and usage within the service industry realm.

Vietnam has repositioned itself from a war-torn country to a popular tourist destination. Although research on Vietnam tourism has grown in number, a macro analysis of national tourism governance and policies has largely been missing.

This synthesis paper offers a systemic analysis of Vietnam’s tourism accommodating intensified government intervention and dramatic market changes in recent decades. The authors offer a chronological analysis of tourism development along with the major political and economic turns of the country.

The patterns of tourism development reflect a compromise between centralization and decentralization of the governance system and a trade-off between economic and social objectives of development. Balancing these opposites, the internal strength of the domestic market and the resilience of communities and businesses become key assets for growth in circumstances where the socialist market economy continues to inform the current and future development of the industry.

Although the case of Vietnam is unique, the adaptive mechanism of the tourism industry highlighted in this paper offers a useful lesson for other developing countries. The research addresses tourism in the political economy in developing countries, which is valuable for researchers, policy analysts as well as practitioners in tourism.

The practical contribution of the study is derived from authors’ academic and industrial backgrounds. Findings from the study serve as a useful reference for those who embark on the study of tourism governance and policy-making in developing countries and problems associated with the economic transitional process. Those problems of the disparity between centralization and decentralization of the political system might not be only significant in Vietnam, but also prevail in developing countries. Thus, this study offers a point of departure for future empirical and comparative research on the kindship of tourism and political economy in a full scale.

The transitional economy as viewed through the tourism industry is prominently presented in the “evolutionary” approach to the transitional economy, which exhibits several unique features: the transition from a centrally planned (command) economy to a market economy and the manifestations of a socialist orientation in the modern economic management system (Vuong et al., 2019). While data from this study is mainly illustrative of the first point, the transition from a planned economy to a market economy, the second characteristic, the manifestation of a social orientation has only slightly been addressed and will need further elaboration in a future study. While Vietnam’s tourism positions itself in a socialist market-oriented economy might set a unique case, the study highlights the politics of tourism is shaped by the politico-economic system. The authors conclude that the adaptation of Vietnam tourism to a socialist market-orientated economy is better perceived as a social evolution achievement rather than a feature of capitalism.

The latest study on tourism governance (Bui et al., 2022) has outlined the evolution of the tourism administrative system and markets in the country; however, linkages of tourism to the broader political economic system have yet to be addressed. Addressing this gap, the authors carry out analysis of policies and governance from the insider’s viewpoint, when team members have been involved in numerous tourism planning and development projects, both on international and national scales. The practical experience along with thorough review of literature and statistical data contributes to shaping a fresh understanding of tourism in a transitional economy.

这篇综述对越南旅游业进行了系统分析, 包括近几十年来不断增强的政府干预以及巨大的市场变化。作者根据时间顺序分析了旅游业的发展以及该国的主要政治及经济的转变。此外, 政策文件的内容分析及旅游市场分析进一步说明了政治经济体系对旅游治理及政策的影响。

越南已将自己从一个饱受战争的国家重新定位成备受欢迎的旅游目的地。尽管对越南旅游业的研究不断增多, 但对国家旅游治理和政策的宏观分析却被之前的探究所忽略。此研究通过展示越南转型经济中的旅游治理模式连接了两个学科, 并且丰富了政治经济学和旅游学的文献。

旅游政策和市场分析反应了治理体系集权与分权之间的折中以及经济和社会发展目标之间的权衡。国内市场的内在优势以及社区及企业的韧性可以成为成长的关键资产来平衡这些对立面, 同时社会主义市场经济将继续影响产业的当前及未来的发展。因此我们的结论是, 越南旅游业适应社会主义市场经济应该被视为社会进化的成就, 而不是资本主义的特征。

考虑到一篇文章所能解决的问题有限, 作者无法就转型经济与中国进行比较研究。我们的研究为未来亚洲旅游与政治经济之间联系的实证和比较研究提供了一个出发点。

研究结果为发展中国家旅游治理和政策制定研究提供了有益的参考。

研究结果对于发展中国家旅游治理及政策制定研究具有重要参考意义。这项研究的成果对于发展中国家的旅游政策分析师, 特别是亚洲的研究人员来说很有价值。

当前的研究弥补了政治经济学中的一个研究不足, 即马克思主义学说及其与旅游业的对话。知识转移是本研究的一个亮点, 它源自对国家政治经济议程中的旅游治理的批判性分析。

Vietnam ha pasado de ser un país devastado por la guerra a convertirse en un popular destino turístico. Aunque la investigación sobre el turismo en Vietnam ha crecido en número, ha faltado en gran medida un macroanálisis de la gobernanza y las políticas turísticas nacionales. Nuestra investigación ha enriquecido la literatura tanto de la economía política como del turismo tendiendo un puente entre ambas disciplinas al presentar las pautas de la gobernanza del turismo en la economía de transición de Vietnam.

Este documento de síntesis ofrece un análisis sistemático del turismo de Vietnam que abarca la intensificación de la intervención gubernamental y los drásticos cambios del mercado en las últimas décadas. Los autores ofrecen un análisis cronológico del desarrollo del turismo junto con los principales giros políticos y económicos del país. Además, el análisis del contenido de los documentos políticos y el análisis del mercado turístico ilustran mejor las repercusiones de los sistemas político-económicos en la gobernanza y las políticas turísticas.

Las políticas turísticas y el análisis del mercado revelan un compromiso entre la centralización y la descentralización del sistema de gobernanza y un compromiso entre los objetivos económicos y sociales del desarrollo. Al equilibrar estos opuestos, la fuerza interna del mercado nacional y la resistencia de las comunidades y las empresas se convierten en activos clave para el crecimiento en unas circunstancias en las que la economía de mercado socialista sigue informando el desarrollo actual y futuro de la industria. Concluimos que la adaptación del turismo vietnamita a una economía socialista orientada al mercado se percibe mejor como un logro de la evolución social que como una característica del capitalismo.

Dentro del limitado abanico de cuestiones que podrían abordarse en un solo artículo, los autores no pueden establecer un estudio comparativo con China, en lo que respecta a la economía de transición. Nuestro estudio ofrece un punto de partida para futuras investigaciones empíricas y comparativas sobre la conexión entre turismo y economía política en Asia.

Las conclusiones del estudio sirven de referencia útil para quienes se embarcan en el estudio de la gobernanza y la formulación de políticas turísticas en los países en desarrollo.

Los resultados de la investigación son valiosos para los investigadores del sudeste asiático en particular y para los analistas de la política turística del mundo en desarrollo en general.

La presente investigación contribuye a un área poco investigada de la economía política, a saber, la doctrina marxista y su diálogo con el turismo. La transferencia de conocimientos es un aspecto destacado de esta investigación, que se ha derivado de un análisis crítico de la gobernanza del turismo en la agenda económica política nacional.

The service industry is facing the huge impact of digital transformation, in which artificial intelligence (AI) plays one of the most important roles. This study aims to expand the understanding of the AI acceptance framework and confirm whether consumers’ digital skills have a moderating effect on the research model.

Hypotheses were tested using a data set of 1,641 individuals. Partial least squares structural equation modeling and multi-group analysis were used to estimate the model.

The results indicate that antecedent factors influence consumers’ willingness to use AI devices in services. The two groups of different digitally savvy respondents differ because the influence of anthropomorphism, social influence and hedonic motivation on respondents’ perceived efforts to use AI devices in service delivery depends on respondents’ digital skills.

The novel contribution of this study is reflected in a comprehensive model that explains the moderating effect of individual digital skills on willingness to use AI devices. The attitudes of experienced and digitally skilled consumers are valuable and highlight some important theoretical, practical implications and future lines of research.

The objective of this study is to determine the efficiency of tourist accommodation companies located in the main tourist area of southern Europe as one of the three elements of the local sustainable development triangle.

The analysis, carried out using the data envelopment analysis (DEA) methodology on 130 companies, has obtained that from the CCR perspective (results-oriented method when companies present constant returns on the input variables).

The companies involved are quite inefficient, while which from the BCC perspective (where the input and output variables used in the company respond to a variable and not constant scale) are quite efficient. The efficiency of these companies in the seven provinces of Andalusia has also been analysed to determine if there are patterns that differentiate them and thus be able to propose strategies that improve the sustainability of these territories. The conclusions of the study indicate the need to improve the operational efficiency of rural accommodation companies.

The analysis of efficiency in the hotel sector and even more so in the rural tourism sector is relatively scarce in the literature, especially in Spain. More specifically, Rubio and Román (2006) have demonstrated the existence of scale inefficiencies in hotels, but no evidence has been found in previous studies that this behaviour carries over to accommodation establishments located in the destinations under study.

The purpose of this paper is to investigate the factors affecting citizens’ intentions toward sustainable tourism based on a research model integrating two theories: protection motivation theory (PMT) and theory of interpersonal behavior (TIB).

After in-depth interviews with ten people, the authors determined the official research model and builds a complete survey. With the random sampling method, data were collected from 628 Vietnamese respondents at some schools, enterprises and supermarkets. Using the PLS-SEM method, measurement and structural models were evaluated before testing the research hypotheses about the influence of factors on intention toward sustainable tourism.

This paper shows that all constructs of the integrated model PMT-TIB are related to intention toward sustainable tourism, and response efficacy is the most influential factor among the factors included in the research model. PMT-TIB integration model is proven to be superior to the original PMT and TIB models when studying factors affecting intention toward sustainable tourism.

The main limitation of this paper is that the PMT-TIB integration model only mentions motivational and interpersonal factors that influence intention toward sustainable tourism.

The findings indicate that state management agencies and enterprises need to develop specific action programs about each harmful environmental pollution caused by unsustainable tourism, raising awareness about the possibility of environmental protection through sustainable tourism.

This study contributes to the existing theoretical framework by integrating PMT and TIB for the first time in explaining intention toward sustainable tourism. This paper gives implications for Vietnam in particular and developing countries in general in promoting sustainable tourism intentions toward sustainable development according to the government’s goals.

本文的目的是基于保护动机理论（PMT）和人际行为理论（TIB）理论相结合的研究模型, 调查影响公民可持续旅游意愿的因素。

在对10人进行深入访谈后, 作者确定了正式研究模型并建立了完整的调查。 采用随机抽样的方法, 从部分学校、企业和超市收集了628名越南受访者的数据。 在检验有关因素对可持续旅游意向影响的研究假设之前, 使用 PLS-SEM 方法对测量和结构模型进行了评估。

本文表明, 综合模型 PMT-TIB 的所有构造都与可持续旅游的意愿相关, 而响应效能是研究模型中包含的因素中影响最大的因素。 在研究影响可持续旅游意愿的因素时, PMT-TIB集成模型被证明优于原始PMT和TIB模型。

本文的主要局限性是 PMT-TIB 整合模型仅提到动机和人际因素影响可持续旅游的意愿。

研究结果表明, 国家管理机构和企业需要针对不可持续旅游业造成的各种有害环境污染制定具体的行动计划, 提高人们对通过可持续旅游业保护环境的可能性的认识。

本研究首次整合PMT和TIB来解释可持续旅游业的意图, 为现有的理论框架做出了贡献。 论文对越南和广大发展中国家在促进可持续旅游意愿、根据政府目标实现可持续发展方面给出了启示。

El objetivo de este artículo es investigar los factores que influyen en la intención de los ciudadanos hacia el turismo sostenible basándose en un modelo conceptual que integra la teoría de la motivación hacia la protección (PMT) y la teoría del comportamiento interpersonal (TIB).

Tras la realización de entrevistas en profundidad con 10 personas, los autores determinaron el modelo de investigación y elaboraron un cuestionario. Utilizando un muestreo aleatorio para la recogida de datos, se obtuvieron 628 encuestados vietnamitas en escuelas, empresas y supermercados. Se empleó el análisis PLS-SEM para evaluar los modelos de medición y modelos estructurales antes del contraste de las hipótesis de investigación sobre la influencia de los factores en la intención hacia el turismo sostenible.

Este artículo muestra que todos los constructos del modelo integrado PMT-TIB están relacionados con la intención hacia el turismo sostenible y la eficacia de la respuesta es el factor más influyente entre los factores incluidos en el modelo conceptual. Se comprueba que el modelo integrador PMT-TIB es superior a los modelos PMT y TIB originales al estudiar los factores que afectan la intención hacia el turismo sostenible.

La principal limitación de este artículo es que el modelo de integración PMT-TIB solo utiliza factores motivacionales e interpersonales que influyen en la intención hacia el turismo sostenible.

Las conclusiones indican que los organismos estatales de gestión y las empresas deben desarrollar programas de acción específicos sobre cada contaminación ambiental nociva causada por el turismo insostenible, concienciando sobre la posibilidad de proteger el medio ambiente a través del turismo sostenible.

Este estudio contribuye al marco teórico existente al integrar por primera vez la PMT y la TIB en la explicación de la intención hacia el turismo sostenible. El trabajo ofrece implicaciones para Vietnam en particular y para los países en desarrollo en general en la promoción de las intenciones de turismo sostenible, hacia un desarrollo sostenible de acuerdo con los objetivos gubernamentales.

Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true for hospitality demand, which has been dramatically affected by the pandemic. Accordingly, we investigate the suitability of tourists’ activity on Twitter as a predictor of hospitality demand in the Way of Saint James – an important pilgrimage tourism destination.

This study compares the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) time-series model with that of the SARIMA with an exogenous variables (SARIMAX) model to forecast hotel tourism demand. For this, 110,456 tweets posted on Twitter between January 2018 and September 2022 are used as exogenous variables.

The results confirm that the predictions of traditional time-series models for tourist demand can be significantly improved by including tourist activity on Twitter. Twitter data could be an effective tool for improving the forecasting accuracy of tourism demand in real-time, which has relevant implications for tourism management. This study also provides a better understanding of tourists’ digital footprints in pilgrimage tourism.

This study contributes to the scarce literature on the digitalisation of pilgrimage tourism and forecasting hotel demand using a new methodological framework based on Twitter user-generated content. This can enable hospitality industry practitioners to convert social media data into relevant information for hospitality management.

2019冠狀病毒病引致消費者習慣有根本的改變; 這些改變顯示，根據歷史序列而運作的慣常需求預測技巧未必是正確的。這不確性尤以受到大流行極大影響的酒店服務需求為甚。因此，我們擬探討、若把在推特網站上的旅遊活動視為聖雅各之路 (一個重要的朝聖旅遊聖地) 酒店服務需求的預測器，這會否是合適的呢?

本研究比較 SARIMA 時間序列模型與附有外生變數 (SARIMAX)模型兩者在預測旅遊及酒店服務需求方面的表現。為此，研究人員收集在推特網站上發佈的資訊，作為外生變數進行研究。這個樣本涵蓋於2018年1月至2022年9月期間110,456個發佈資訊。

研究結果確認了傳統的時間序列模型，若涵蓋推特網站上的旅遊活動，則其對旅遊需求方面的預測會得到顯著的改善。推特網站的數據，就改善預測實時旅遊需求的準確度，或許可成為有效的工具; 而這發現對旅遊管理會有一定的意義。本研究亦讓我們進一步瞭解朝聖旅遊方面旅客的數碼足跡。

現存文獻甚少探討朝聖旅遊的數字化，而本研究不但在這方面充實了有關的文獻，還使用了一個根據推特網站上使用者原創內容嶄新的方法框架，進行分析和探討。這會幫助酒店從業人員把社交媒體數據轉變為可供酒店管理之用的合宜資訊。

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.