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This study aims to identify motivations for visiting Kyoto's prominent religious attractions using latent Dirichlet allocation (LDA) text analysis of online reviews; establish linkages between push motivational factors and pull factors of the religious sites, forming distinct tourist typologies; and suggest strategies for Kyoto's destination marketing based on the findings.

This study analyzed 37,772 TripAdvisor reviews for Kyoto's top 25 religious sites from the pre-pandemic period (March 2020). LDA topic modeling extracts 18 underlying thematic dimensions from the review texts. Axial coding of these dimensions revealed five distinct tourist motivation typologies.

Five motivation typologies emerged: cultural seekers drawn to Japan's unique heritage, nature lovers attracted by scenic landscapes, chrono-seasonal experiencers seeking distinct seasonal views, crowd-avoiders prioritizing less congested visits and city wanderers engaging in local activities.

The findings offer valuable guidance for destination marketers and managers in Kyoto, enabling the development of targeted strategies to enhance visitor experiences and manage overcrowding at popular religious sites.

This research provides novel insights into nonreligious tourists' motivations for visiting religious sites in a crowded destination. By identifying distinct motivation-based tourist typologies, the study informs strategies for enhancing visitor experiences tailored to diverse needs, contributing to tourism literature and practical destination management.

This study aimed to identify both visitors’ and residents’ general wine consumer typology as well as their typology specific to a wine destination, Florida, and investigated the influences of these typologies on consumer motivation to visit a winery in Florida and their motivations’ influences on their satisfaction with the winery visit and loyalty in the way of likelihood to revisit.

Two studies were conducted to identify the wine consumer typology and its influences, one with residents of a wine destination and one with its visitors. In both studies, the same cross-sectional survey design was conducted. The survey was designed using the survey design tools of Qualtrics.

Study results showed similar general wine consumer typology for both visitors and residents but slight differences in the destination-specific wine consumer typology. Results also revealed differences in the influences of these typologies on motivation, with different influences on satisfaction and loyalty for the two segments.

Even though consumer typologies have been discussed in tourism destination decision-making and choice, consumer typology in wine destination consumption has been lacking in the literature. To the best of the authors’ knowledge, this is the first study to identify both visitors’ and residents’ general wine consumer typology as well as their typology specific to a wine destination, Florida, and to investigate the influences of these typologies on consumer motivation to visit a winery in Florida and their motivations’ influences on their satisfaction with the winery visit and likelihood to revisit.

此文章通过两项研究来探讨葡萄酒消费者类型及其影响, 一项针对葡萄酒目的地的居民, 另一项针对其游客。这两项研究采用了设计相同的调查问卷, 该调查问卷的设计使用了 Qualtrics 的调查设计工具。

该研究旨在归纳游客和居民的葡萄酒消费者类型以及他们在佛罗里达州葡萄酒目的地的特定类型, 并调查了这些类型对消费者参观佛罗里达州酒庄的动机的影响以及他们的动机对其满意度和再次参观酒庄意愿的影响。

研究结果显示, 游客和居民的葡萄酒消费者类型相似, 但特定目的地的葡萄酒消费者类型略有不同。 结果还揭示了这些类型对动机的影响存在差异, 对游客和居民的满意度和忠诚度的影响也不同。

尽管文献已经讨论了旅游目的地决策和选择背景下的消费者类型, 有关葡萄酒目的地消费的消费者类型的研究却相对缺乏。此文章旨在发掘游客和居民的葡萄酒消费者类型以及佛罗里达州葡萄酒目的地特有的消费者类型, 并调查这些类型对消费者参观佛罗里达州酒庄动机的影响以及此动机对酒庄参观的满意度和再次参观的可能性的影响。

Se realizaron dos estudios para identificar la Tipología del Consumidor de Vino y sus influencias, uno con residentes de un destino enoturístico y otro con sus visitantes. En ambos estudios se llevó a cabo el mismo diseño de encuesta transversal. La encuesta se diseñó utilizando las herramientas de diseño de encuestas de Qualtrics.

El estudio identificó la tipología general del consumidor de vino tanto de los visitantes, como de los residentes, así como su tipología específica para un destino vinícola, como el de Florida, e investigó las influencias de estas tipologías en la motivación del consumidor para visitar una bodega en Florida y las influencias de sus motivaciones en su satisfacción con la visita a la bodega y la probabilidad de volver a visitarla

Los resultados del estudio mostraron una tipología general del consumidor de vino similar tanto para los visitantes, como para los residentes, pero ligeras diferencias en la tipología del consumidor de vino específica del destino. Los resultados también revelaron diferencias en las influencias de estas tipologías sobre la motivación, con distintas influencias sobre la satisfacción y la fidelidad para los dos segmentos.

Aunque se ha hablado de tipologías de consumidores en la toma de decisiones y la elección de destinos turísticos, la tipología de consumidores en el consumo de destinos vinícolas ha estado ausente en la literatura. Éste es el primer estudio que identifica tanto la tipología general del consumidor de vino de los visitantes y residentes como su tipología específica para un destino vinícola como el de Florida, e investiga las influencias de estas tipologías en la motivación del consumidor para visitar una bodega en Florida y las influencias de sus motivaciones en su satisfacción con la visita a la bodega y la probabilidad de volver a visitarla.

This research finds out to what extent companies’ names are influenced by the place’s attributes versus the official branding policies of a place and, consequently, whether and how local companies “buy into” the place’s strategies put forth by official bodies.

This paper is both conceptual and empirical, as a mixed quantitative and interpretive approach is used. The companies’ names of a tourist industry (the tour and guiding companies) in three destinations are compared and pitched against the branding of these cities. The companies' names are classified into categories to ascertain whether they reflect (or diverge from) the official strategies. Finally, a conceptual model is developed to explain the findings: the strategic naming model (SNM).

Our main finding is that the overall business features of a place being stronger determinants to the naming strategies than tourist destination branding initiatives. The intrinsic features of a place seem thus to be “above” destination branding policies. The researched features account for different naming strategies, such as highly original names, flat names or non-strategic names.

As the work is based on a convenience sample, it cannot claim strong representativity. The fact that each of the three data sets was processed by a different researcher might bring up personal biases.

This work is a call for a more intensive use of naming strategies to the companies’ advantages, as naming is found out to be strategy used to a very low degree. Thanks to this research, companies will understand the different naming possibilities and be able to apply them to their strategies by choosing names which express “uniqueness” or “belonging”. Practitioners will also be aware of whether they are communicating towards the industry or towards the market.

No works were found that empirically pursue our research goals. Therefore, this research might be considered as a novelty. The proposed SNM model explains and relates the most usual company naming techniques, which were unrelated up to date.

Digital detox practices seek to encourage tourists to disconnect from their devices and immerse themselves in the destination they are visiting. This may involve activities such as meditation, yoga or simply abstaining from social media and email. The impact of digital detox practices on tourist experiences can vary depending on the individual. While some tourists may find it difficult to disconnect from their devices, others may appreciate the opportunity to fully engage with their surroundings without distractions. Ultimately, digital detox practices have the potential to promote mindfulness and enhance the overall travel experience for those who are willing to try them.

In this section, digital detox defined and different forms are mentioned. The motivation factors of digital detox tourism activities carried out in this context and destinations and businesses for digital detox holidays will be examined. The chapter concluded by analysing the feedback obtained from consumers on TripAdvisor. This chapter provides a valuable contribution to the present digital detox tourism, which is in the market as a new touristic product by offering a comprehensive literature review. In addition, the chapter examines the review of comments made by tourists on TripAdvisor about digital detox tourism. The chapter further offers recommendations to tourism businesses on how to enhance their services in this domain. As a result, this section is expected to make a valuable contribution to both the academic literature and the tourism industry, specifically in the area of digital detox tourism.

The geographical location of Yazd province has significant potential for religious tourism. To make the most of this opportunity, it is important to develop an interpretive structural modeling. This paper aims to outline a model for the development of religious tourism in Yazd province as a Global Religious Destination by identifying and analyzing the interaction of effective drivers in future religious tourism development.

The research methodology is based on the interpretative paradigm and is developmental in nature. It takes an exploratory-analytical approach through the adoption of an inductive method and uses mixed research (qualitative/quantitative) involving religious tourism experts and tourists. The study consists of three main steps. In the first step, effective drivers in future religious tourism development were identified through content analysis of published articles. In the second step, the identified drivers were finalized through a survey of experts. Using futures research and Micmac software, a model was designed to investigate the interaction of the future drivers of religious tourism development. In the third step of the research, 384 tourists who visited Yazd Global Religious Destination participated to check the accuracy of the presented model.

Content analysis and review of scientific documents have identified 14 effective drivers in future religious tourism development that have finalized in a layered model. The model identified factors from the most influential at level one to the least influential at level eight. the theoretical foundations of this research confirmed by 384 visitors participated.

developing religious tourism, whether in the form of a religious city, a religious value system, a religious ceremony and a religious business, requires a comprehensive view that includes tourist’s mental and visual imagery, destination brand’s ideals and visions, religious belief, governmental and formal activities and the material and spiritual capital that can offer religious life style in the world markets to audiences from all over the world in the best way and in the dynamic conditions of competition between destination brands, occupy the first rungs of the audience’s mental ladder.

ChatGPT has been receiving mounting research attention recently. However, its application and challenges to adopt for tourism and hospitality businesses remain relatively unexplored. To address this research gap, this study aims to systematically assess the application of ChatGPT and its challenges within the domain of tourism and hospitality.

This study conducts bibliometric and content analyses of papers retrieved from Web of Science and Scopus. Particularly, it systematically reviewed the tourism and hospitality research to identify critical applications of ChatGPT in the context of tourism and hospitality. In addition, this study identified challenges associated with the application of ChatGPT in this context.

It has been revealed that the use of generative artificial intelligence (AI), such as ChatGPT, in tourism and hospitality research is ascending, with an opportunity to advance the existing knowledge in customer service research. In addition, the results suggest an ongoing interest in assessing the role of AI and language modeling for tourism education and human resource management.

The results are constrained by the used search keywords and electronic databases. Additionally, this study covered only papers published in English. However, the findings shed light on existing knowledge concerning ChatGPT’s transformative potential, identify areas for further exploration and offer guidelines for practice in the tourism and hospitality industry. The findings also revealed various challenges that various stakeholders should keep a closer eye on to ensure the effective and safe use of ChatGPT accordingly.

This study initiates a discussion on ChatGPT’s role in tourism and hospitality and underscores the importance of comprehensive AI integration within the sector.

近年来, ChatGPT受到了越来越多的研究关注。然而, 它在旅游和酒店业中的应用及其面临的挑战仍然相对未被探索。为填补这一研究空白, 本研究系统评估了ChatGPT在旅游和酒店业中的应用及其挑战。

本研究通过对从Web of Science（WoS）和Scopus检索的文献进行文献计量分析和内容分析。特别是, 系统回顾了旅游和酒店业的研究, 以识别ChatGPT在这一背景下的关键应用, 并识别了与其应用相关的挑战。

研究揭示了生成式人工智能（如ChatGPT）在旅游和酒店业研究中的应用日益增多, 为推动客户服务研究的现有知识提供了机会。此外, 研究结果表明, 对人工智能和语言建模在旅游教育和人力资源管理中的作用存在持续的兴趣。

本研究开启了对ChatGPT在旅游和酒店业中作用的讨论, 并强调了在该行业中全面整合人工智能的重要性。

本研究受限于所用的搜索关键词和电子数据库。此外, 本研究仅涵盖了英文论文。然而, 研究结果揭示了关于ChatGPT变革潜力的现有知识, 确定了进一步探索的领域, 并为旅游和酒店业实践提供了指导。研究还揭示了各利益相关者应密切关注的各种挑战, 以确保ChatGPT的有效和安全使用。

The purpose of this paper is to analyse whether publicly shared images on Instagram are representative of tourist behaviour in a destination. This aspect is crucial for destination image management, as it can influence the way tourists perceive the destination.

The research compares three different factors: the route followed by a group of tourists, the whole set of photographs taken by them and the images that they made publicly available on Instagram. It relies on a field work done by a group of 122 tourists in Turin (Italy). At a qualitative level, the answers given by tourists to the motivations that led them to share some of the image are analysed.

The results showed how the spatial distribution of the images shared publicly on Instagram only partially coincides with the whole set of images taken by tourists.

It is important to avoid basing marketing and management policies on just the places featured in publicly shared images. If not, there is a risk of taking decisions based on the behaviour of some, rather than all, tourists.

Many papers claim to be based on the Instagram image as elements to study tourism. However, most of these papers only analyse public images. This fact can affect the results as there may be, for example, areas visited by tourists where photos are not taken. This paper therefore contributes to a better understanding of Instagram as a tool for the study of urban tourism.

The COVID-19 lockdown severely impacted organizations in the cultural and tourist business as their products all of a sudden “disappeared”. This study aims to explore if and how the unexpected and disruptive nature of the pandemic accelerated the development of new communication strategies on their social media.

The study draws on data from 24 midsize cultural institutions and tourist attractions in Denmark over the first two months of the lockdown in 2020. Approximately 900 posts on Facebook were collected and analyzed through the netnographic method. The analysis followed a two-layered qualitative approach. First, open coding to identify typologies and enable a comparison with established strategies from the literature review. Then, an exploratory examination was conducted across the typologies.

Nine different content categories were identified in the data and subsequently assessed and discussed in relation to the literature on strategies and dialogic intentions. This resulted in the emergence of two new overarching strategies: hope and host.

While hope is particularly relevant in crisis situations, the utilization of employees in the host role presents an opportunity for further development and engagement. Further, the results call for future research that breaks with the traditional quest for ideal strategies for the benefit of exploring the notion of “strategic doers”.

The identification of the hope and host strategies, along with the analysis of content categories and their alignment with various strategic intentions, contributes to the existing knowledge in this field. Further, the classic perception of engagement as driven by explicit interaction and dialogue is also challenged.

This study emphasizes the growing significance of destination attributes in shaping the experiences and behaviours of gastronomy and culinary tourists. Understanding both core and complementary attributes of a gastronomy tourism destination is crucial for its sustainable development. However, there is a lack of a reliable measurement for tourists’ perceived attributes of gastronomy tourism destinations (PAGTD). Therefore, the purpose of this study is to develop a scale to measure tourists’ PAGTD.

The study systematically followed the scale development and validation process, using three samples (Sample 1, n = 200; Sample 2, n = 204; and Sample 3, n = 204) to establish the psychometric properties of the proposed PAGTD scale.

The validated scale comprises five dimensions, namely, food culture, food sensations, food cooking, service environment, and food price & quality, encompassing a total of 22 measurement items.

This research significantly contributes to the gastronomy tourism literature by elucidating the dimensionality of PAGTD and validating the PAGTD scale.

目的地属性对美食游客的体验和行为的影响日渐凸显。理解美食旅游目的地的核心属性和补充属性对目的地可持续发展至关重要。然而, 目前还缺乏一份测量游客感知的美食旅游目的地属性（PAGTD）的量表。因此, 本文旨在开发并验证游客感知的美食旅游目的地属性量表（PAGTD量表）。

本文严格遵循量表开发与验证的程序, 利用三份样本（样本1, n=200; 样本2, n=204; 样本3, n=204）建立了PAGTD量表的信度和效度。

经过验证, PAGTD量表包括5个维度：美食文化、美食感官因素、美食烹饪、服务环境、美食价格与质量, 共计22个测项。

本文不仅阐明了游客感知的美食旅游目的地属性的多维结构, 还开发并验证了一份具有良好信效度的PAGTD量表。

Este estudio hace hincapié en la creciente importancia de los atributos de los destinos a la hora de configurar las experiencias y los comportamientos de los turistas gastronómicos y culinarios. Comprender tanto los atributos principales como los complementarios de un destino turístico gastronómico es crucial para su desarrollo sostenible. Sin embargo, se carece de una medición fiable de los atributos percibidos por los turistas de los destinos de turismo gastronómico (PAGTD). Por lo tanto, el objetivo de este estudio es desarrollar una escala para medir los PAGTD de los turistas.

El estudio siguió sistemáticamente el proceso de desarrollo y validación de la escala, utilizando tres muestras (Muestra 1, n=200; Muestra 2, n=204; y Muestra 3, n=204) para establecer las propiedades psicométricas de la escala PAGTD propuesta.

La escala validada comprende cinco dimensiones: saber, cultura alimentaria, sensaciones alimentarias, cocina de los alimentos, entorno del servicio y precio y calidad de los alimentos, que abarcan un total de 22 ítems de medición.

Esta investigación contribuye significativamente a la literatura sobre turismo gastronómico al dilucidar la dimensionalidad del PAGTD y validar la escala PAGTD.

Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.

This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.

The findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.

Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.