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The present study’s aims are twofold: 1) to contribute to theory development by accounting for both personality and trust in the conceptualization of technology acceptance using the technology acceptance model (TAM) as the theoretical framework; and 2) to explore the influence of ChatGPT-integrated chatbots on tourism behavior.

The target population for this study was travelers who previously used technology (website/ app) to plan their holiday abroad. An online survey questionnaire created with Google Forms was distributed via a panel company (iPanel). A screening question was included to filter out respondents who have not previously used technological means to plan their holiday abroad. A panel company (iPanel) was hired to collect data from a convenience sample of 305 Israeli tourists who met the above criterion between August 22 and 27, 2023, and were at least 18.

A significant and positive relationship was observed between trust in ChaptGPT and perceived usefulness. Furthermore, a significant and positive association was observed between perceived ease of use and intentions to use ChatGPT-integrated chatbots to plan future holidays. Post hoc analyses suggest that perceived ease of use mediates the relationship between extraversion and trust, trust mediates the relationship between perceived ease of use and perceived usefulness and age moderates the relationship between perceived ease of use and behavioral intentions.

Data was collected from a convenience sample of Israeli travelers. Hence, generalizations to other countries, nationalities and cultures should be treated carefully; the study is cross-sectional and thus represents respondents’ beliefs and behavioral intentions at a particular time; and the study is based on one of several theoretical frameworks that can be used to conceptualize behaviors associated with using AI by tourists.

The findings of the present study point to the importance of accounting for tourists’ personal factors, such as personality and age, in developing AI products in the tourism industry. chief executive officers and relevant shareholders would benefit from conducting market research to obtain insights into the factors that may enhance or hamper tourists’ adoption of AI-based technology for planning their holidays abroad.

Previous work falls short of accounting for personality traits and trust in a single model using the TAM framework. To the best of the authors’ knowledge, this is the first study empirically investigating tourism behavior related to ChatGPT based chatbots as a tool to plan future holidays abroad. Furthermore, the possible role of age as a moderating variable was overlooked in past research.

本研究的目标有两个：1）采用技术接受模型作为理论框架, 通过考虑技术接受概念化中的个性和信任来促进理论发展; 2）探讨ChatGPT集成的聊天机器人对旅游行为的影响。

本研究的目标人群是以前使用技术（网站/应用程序）计划出国度假的旅行者。使用 Google Forms 创建的在线调查问卷通过小组公司 (iPanel) 分发。其中包含一个筛选问题, 以筛选出之前未使用技术手段计划出国度假的受访者。聘请了一家调查公司（iPanel）来收集 305 名以色列游客的便利样本数据, 这些游客在 2023 年 8 月 22 日至 27 日期间符合上述标准, 且年龄至少为 18 岁。

在 ChaptGPT 的信任度和感知有用性之间观察到显着且积极的关系。此外, 观察到易用性与使用集成 ChatGPT 的聊天机器人来计划未来假期的意向之间存在显着且正相关的关系。事后分析表明, 感知的易用性调节了外向性和信任之间的关系; 信任调节感知易用性和感知有用性之间的关系, 年龄调节感知易用性和行为意愿之间的关系。

以前的工作未能在单个模型中使用技术接受模型框架来解释个性特征和信任。这是第一项实证研究, 调查与 ChatGPT 集成聊天机器人相关的旅游行为, 作为规划未来出国度假的工具。此外, 过去的研究忽视了年龄作为调节变量的可能作用。

1）数据是从以色列旅行者的便利样本中收集的。因此, 应该谨慎对待对其他国家、民族和文化的概括; 2）该研究是横断面的, 因此代表了受访者在特定时间的信念和行为意愿; 3）该研究基于几个理论框架之一, 该框架可用于概念化游客使用 ChatGPT 集成聊天机器人来计划未来出国度假的意向。

本研究的结果表明, 在开发用于旅游业的基于 ChatGPT 的聊天机器人时, 考虑游客的个人因素（例如个性和年龄）的重要性。首席技术官和相关股东将受益于进行市场研究, 以深入了解可能增强或阻碍游客采用基于 ChatGPT 的聊天机器人来规划未来出国度假的因素。

Los objetivos del presente ossib son dos: 1) contribuir al ossibleo de la teoría incorporando la personalidad y confianza en la conceptualización de la aceptación de la tecnología empleando el Modelo de Aceptación de la Tecnología como marco teórico; 2) analizar la influencia de los chatbots integrados en ChatGPT en el comportamiento turístico.

La población objetivo de este ossib fueron los viajeros que anteriormente utilizaban tecnología (página web/aplicación) para planificar sus vacaciones en el extranjero. Se distribuyó un cuestionario online creado con Google Forms a través de una empresa de paneles (iPanel). Se incluyó una pregunta de selección para filtrar a los encuestados que no habían utilizado previamente medios tecnológicos para planificar sus vacaciones en el extranjero. Se contrató a una empresa de paneles (iPanel) para recopilar datos de una muestra de conveniencia de 305 turistas israelíes que cumplieron el criterio anterior entre el 22 y el 27 de ossib de 2023, y con una edad ossib de 18 años.

Se identificó una relación ossibleon y ossible entre la confianza en ChaptGPT y la utilidad percibida. Además, se evidenció una asociación ossibleon y ossible entre la facilidad de uso percibida y la intención de ossible chatbots integrados en ChatGPT para planificar futuras vacaciones. Los análisis post-hoc sugieren que la facilidad de uso percibida media la relación entre la ossibleon y la confianza; la confianza media la relación entre la facilidad de uso percibida y la utilidad percibida, y la edad modera la relación entre la facilidad de uso percibida y las intenciones de comportamiento.

1) los datos se recopilaron de una muestra de conveniencia de viajeros israelíes. Por tanto, las generalizaciones a otros países, nacionalidades y culturas deben tratarse con cuidado; 2) el ossib es transversal y, por tanto, representa las creencias y las intenciones de comportamiento de los encuestados en un momento determinado; 3) el ossib se basa en uno de los diversos marcos teóricos que pueden emplearse para conceptualizar la intención de los turistas de ossible chatbots integrados en ChatGPT para planificar futuras vacaciones en el extranjero.

Los resultados del presente ossib señalan la importancia de tener en cuenta los factores personales de los turistas, como la personalidad y la edad, en el ossibleo de chatbots basados en ChatGPT para su uso en la industria turística. Los directores de tecnología y los stakeholders relevantes se beneficiarían de investigación de mercado para obtener información sobre los factores que pueden mejorar o dificultar la adopción de chatbots basados en ChatGPT por parte de los turistas para planificar futuras vacaciones en el extranjero.

Los trabajos anteriores no tienen en cuenta los rasgos de personalidad y la confianza en un único modelo utilizando ossible TAM. Este es el primer ossib que investiga empíricamente el comportamiento turístico relacionado con los chatbots basados en ChatGPT como herramienta para planificar las futuras vacaciones en el extranjero. Además, en investigaciones anteriores no se ossible el ossible papel de la edad como variable moderadora.

The purpose of this paper is to analyze Spain’s success in developing mass tourism between 1950 and 1965.

This analysis will be carried out from a marketing point of view using the paradigm of the four Ps: product, price, promotion and place, but focusing on the product since, as will be seen, the three other variables had a much lesser impact at that early stage. The product, in holiday tourism, is the destination, a combination in which the main protagonist is the hotel. The authors will analyse the main characteristics of the tourist accommodation on offer in Majorca and Ibiza in two ways: by studying the general statistics on the one hand, and on the other, through the detailed description of two hotel projects focused on the same tourist market but conceptually very different. In the first, a British design from 1956, we see the seed of what could have been and was not. Spain could have been filled with enclave-type tourist destinations with little connection to the local economic network. The second hotel design, on the other hand, shows us the ideal establishment for the exploitation of mass tourism in open destinations.

In Spain, mass tourism was explosively successful because the local business community was able to offer a very attractive product.

The authors use the architectural designs of two hotels as the central axis of the description of the Spanish tourism product.

This study explores the short- and medium-term effects generated by the Milan Expo 2015, adopting a microeconomic approach. The focus is on the hospitality sector. The study embraces nine years, identifying three intervals: pre- (2011–2014), during- (2015) and post-Expo (2016–2019). The time span does not include the Covid-19 pandemic period, which started in 2020. The dataset is composed of daily data. Three research questions are explored. First, an overall evaluation of the short- and medium-term effects is performed. Second, the seasonal effects are measured. Finally, the impacts for different classes of hotels are considered. The findings are supportive for the legacy generated by the Milan Expo. The results confirm the ability of the Milan Expo to strengthen the leisure segment. Positive results have been observed for all classes of hotels, relevantly augmenting the real revenue per available room (RevPAR). Luxury hotels achieved the highest increase of RevPAR, while economy class hotels registered the highest percentage of increase of RevPAR.

Multiple topics often exist on social media platforms that compete for users' attention. To explore how users’ attention transfers in the context of multitopic competition can help us understand the development pattern of the public attention.

This study proposes the prediction model for the attention transfer behavior of social media users in the context of multitopic competition and reveals the important influencing factors of users' attention transfer. Microblogging features are selected from the dimensions of users, time, topics and competitiveness. The microblogging posts on eight topic categories from Sina Weibo, the most popular microblogging platform in China, are used for empirical analysis. A novel indicator named transfer tendency of a feature value is proposed to identify the important factors for attention transfer.

The accuracy of the prediction model based on Light GBM reaches 91%. It is found that user features are the most important for the attention transfer of microblogging users among all the features. The conditions of attention transfer in all aspects are also revealed.

The findings can help governments and enterprises understand the competition mechanism among multiple topics and improve their ability to cope with public opinions in the complex environment.

The COVID-19 pandemic has induced tourism destinations to reconsider organisational aspects related to health safety measures, as perceptions of health safety may have become particularly important for tourists. Using data from summer 2020, the period immediately after the outbreak of the pandemic, we investigate the factors that affected tourist perceptions of health safety.

Data come from a survey of tourist-card holders in Trentino, an Italian mountain destination. Through regressions, we assess the conditional correlation between health safety measure evaluations following a holiday and a set of covariates related to the features of the tourist area and the tourists themselves, as well as COVID-19 incidence in their province of residence in the months before the holiday.

Tourist-related features seem not to impact on perceived health safety, whereas some destination- and accommodation-related elements do. In particular, the number of tourist beds affects it negatively, and staying at a hotel does it in a positive way. COVID-19 incidence in one’s home province does not affect perceptions of health safety measures, which suggests a possible sample selection effect and/or the need for more fine-grained data.

This paper is one of the few on the immediate effects of the COVID-19 pandemic using data from a large sample of actual tourists. Our findings point out the importance of the intrinsic features of some places and accommodation in influencing perceptions of safety. We discuss implications for scholars and destination managers.

By conducting a longitudinal study, this study aims to investigate how the role of hotel attributes in destination competitiveness changed through the stages of pre-, amid and recovery from the crisis.

First, the latent Dirichlet allocation method was used to identify hotel attributes from 15,137 online reviews, and then a sentiment analysis was performed to determine tourist satisfaction with the subject attributes. Second, separate asymmetric impact competitor analyses were conducted for the three stages of the crisis, and their results were compared with understand how the role of the hotel attributes changed throughout the crisis.

The results revealed that the impacts of hotel attributes on tourist satisfaction and destination competitiveness differed significantly at each stage of the crisis.

This research expands the existing literature by offering valuable insights by elucidating the changing characteristics of hotel attributes at each crisis stage. The results extend the body of knowledge in destination management by providing evidence on the validity of asymmetric impact competitor analysis.

To fully understand the impact of a crisis (e.g. COVID-19) on destination competitiveness with a focus on the hotel sector, this research conducted a longitudinal study that covers three stages of the crisis (i.e. pre-, amid and post-crisis). Moreover, unlike previous studies, this research considers the asymmetric relationships between service attributes and overall tourist satisfaction, as well as competitors’ information.

The Spain–Portugal Cross-Border Cooperation Program launched the “Espomar” project in 2017, with the aim of designing a sustainable and transboundary maritime transport system in the Gulf of Cádiz, which includes the Spanish provinces of Cádiz (its Atlantic coast) and Huelva, together with the Portuguese region of the Algarve. This chapter limits the scope to the Algarve-Huelva connection and the resident population demand. The findings suggest a maritime connection defined and marketed as part of leisure activities. The demand for potential tourism packages created around boat trips appears to be promising. The sun beach, gastronomy wine and culture landscape vectors are the main attractors.

The close link between fashion and from a historical and sociological point of view is the focus of this chapter. Since the Industrial Revolution, these two industries have been part of the path toward modernity in Western Europe. The new industrial society created a different relationship with leisure time and bodies. On the other hand, fashion tourism accelerated and intensified this process toward unforeseen outcomes: new social relations and the loosening of traditional morality constraints. The swimming costume represents the point of encounter and overlapping between these two spheres: a significant element of novelty despite its ever-shrinking dimensions.

People continue to become more liberated and individualised day by day. They look for ways to somehow get out of any situation that restricts them, tend to get rid of their typical holiday patterns and travel alone, without being stuck within anyone else's borders, precisely as they want. In addition, people can travel alone to discover themselves, meet different cultures, relieve stress and learn new skills. Women travel alone more than men, although they face more difficulties than men. The experiences of women solo travellers suggest that this form of travel can provide a meaningful foundation for advancing gender equality. By challenging gender roles and expectations, empowering women to assert their autonomy and agency and creating opportunities for community-building and solidarity, solo travel can help to transform social norms and promote gender equity.

This chapter aims to build a body of knowledge that will have a widespread impact based on available data on the relationship of women solo travellers to gender equality. It also examines the effects of women solo travellers on gender equality based on secondary data sources. This chapter, designed as conceptual research with descriptive analysis and document analysis, is important in revealing what the indirect gains of women solo travellers can be for gender equality, the fifth of the United Nations Development Programme (UNDP) Sustainable Development Goals.