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This study aims to examine how cruise ship dinescapes, as a specific type of organized and staged service environment, influence customers’ attitudes, on-board behaviour, satisfaction and behavioural intentions.

Data was collected using a cross-sectional survey from 552 passengers on-board one of the big cruise ships with a Caribbean itinerary.

Cruise ship dinescape, as an on-board food experience platform, is built on three dimensions: restaurant atmospherics, interactions with other guests and restaurant staff. The findings show how these dimensions influence passengers’ emotional experiences and quality perceptions. The results also show how travellers’ cruise ship dinescape satisfaction affect their overall vacation satisfaction and future travel behaviour.

The findings imply that cruise companies should pay extra attention to organised food service environments like dinescapes staged for passengers. Through these scapes cruise companies may provide favourable platforms enabling dining satisfaction, but also social interaction and co-creation of memorable experiences.

This study builds a comprehensive model in cruise ship context, which links dinescape experiences to overall cruise ship dining experiences and dining behaviour mediated by emotional and perceived quality outcomes with further consequences.

Cruising is one of the industries most susceptible to the current COVID-19 health crisis, due to the closed environment and the contacts between cruisers and crewmembers. This study aims to understand if the perceived crowding and the health risk perception related to the pandemic situation might threaten passengers’ intentions to cruise. The study also examines corporate reputation and trust, as well as social motivation and self-confidence, as possible predictors of consumers’ intention to cruise.

The study is based on the development of a structured questionnaire submitted online via social media. Overall, 553 individuals’ responses were used for understanding the factors that can affect consumers’ intention to cruise by performing several regression models.

The results show that the perceived crowding related to the pandemic does not seem to influence people’s intention to cruise. On the contrary, trust in the cruise company, corporate reputation, cruisers’ self-confidence and research of social motivation are positive predictors of intention to cruise, thus reducing the perceived risk’s deterring impact. The importance of such factors differs in respect of repeat and not repeat cruisers.

The study presents several managerial implications as it analyses the variables that could help cruise management cope better with COVID-19’s negative impact.

Despite the severity of COVID-19’s impact on the cruise industry, no studies have yet focussed on how the current pandemic situation may influence customers’ intention to cruise in the future.

New economic geography theorists, who have revived the importance of local roots and highlighted the significance of cities as a source of international competitiveness, have spurred the global marketing of Incheon. An examination of the new economic geography literature examines the nature of the new localism based on clusters, involving spatial proximity and concentrated face-to-face transaction, agglomeration economies and local knowledge networks. The territorial expression of these ideas is evident in competitive cities and knowledge cities. Both types of cities are embodied in civic attempts to market Incheon as an international city through the development of the international harbor and international airport and a knowledge city at Songdo. As there is no reference to Incheon in the place marketing literature there is a need to market it as Seoul-Incheon and itemize the Capital Region 's key assets and strategic advantages, including logistics and Pentaport - five ports in one - to build a presentation that attracts foreign direct investment and foreign expertise and provokes an energizing debate on the Korean Government's plan to position the country as the hub for international commerce in Northeast Asia. Critics of this place marketing approach designed to make Incheo'} a prosperously middle-class city suggest more evidence is needed before it can be assumed firms locate in cities as a base for export activities to boost their competitiveness. Perhaps there is need to give up the preoccupation with the local focus in cluster analysis and give equal attention to global connections.

This study aims to perform a benefit segmentation and then a classification of visitors that travel to the Rocha Department in Uruguay from the capital city of Montevideo during the summer months.

A convenience sample was obtained with an online survey. A total of 290 cases were usable for subsequent data analysis. The following statistical techniques were used: hierarchical cluster analysis, K-means cluster analysis, machine learning, support vector machines, random forest and logistic regression.

Visitors that travel to the Rocha Department from Montevideo can be classified into four distinct clusters. Clusters are labelled as “entertainment seekers”, “Rocha followers”, “relax and activities seekers” and “active tourists”. The support vector machine model achieved the best classification results.

Implications for destination marketers who cater to young visitors are discussed. Destination marketers should determine an optimal level of resource allocation and destination management activities that compare both present costs and discounted potential future income of the different target markets. Surveying non-residents was not possible. Future work should sample tourists from abroad.

The combination of market segmentation of Rocha Department’s visitors from the city of Montevideo and classification of sampled individuals training various machine learning classifiers would allow Rocha’s destination marketers determine the belonging of an unsampled individual into one of the already obtained four clusters, enhancing marketing promotion for targeted offers.

Automated driving systems (ADSs) are being developed to avoid human error and improve driving safety. However, limited focus has been given to the fallback behavior of automated vehicles, which act as a fail-safe mechanism to deal with safety issues resulting from sensor failure. Therefore, this study aims to establish a fallback control approach aimed at driving an automated vehicle to a safe parking lane under perceptive sensor malfunction.

Owing to an undetected area resulting from a front sensor malfunction, the proposed ADS first creates virtual vehicles to replace existing vehicles in the undetected area. Afterward, the virtual vehicles are assumed to perform the most hazardous driving behavior toward the host vehicle; an adaptive model predictive control algorithm is then presented to optimize the control task during the fallback procedure, avoiding potential collisions with surrounding vehicles. This fallback approach was tested in typical cases related to car-following and lane changes.

It is confirmed that the host vehicle avoid collision with the surrounding vehicles during the fallback procedure, revealing that the proposed method is effective for the test scenarios.

This study presents a model for the path-planning problem regarding an automated vehicle under perceptive sensor failure, and it proposes an original path-planning approach based on virtual vehicle scheme to improve the safety of an automated vehicle during a fallback procedure. This proposal gives a different view on the fallback safety problem from the normal strategy, in which the mode is switched to manual if a driver is available or the vehicle is instantly stopped.

Although there has been a significant amount of research on Smart Tourism, the articles have not yet been combined into a thorough literature review that can examine research streams and the scope of future research. The purpose of this study is to examine the literature on the impact of deploying the Internet of Things (IoT) in tourism sector development to attract more visitors using a text mining technique and citation based bibliometric analysis for the first time.

This study uses R programming to do a full-text analysis of 36 publications on IoT in tourism and visualization of similarities viewer software to conduct a bibliometric citation analysis of 469 papers from the Scopus database. Aside from that, the documents were subjected to a longitudinal study using Excel and word frequency using a trending topic using the R-tool.

Results from the bibliometric study revealed the networks that exist in the literature of Tourism Management. With the use of log-likelihood, the findings from text mining identified nine theme models on the basis of relevancy, which is presented alongside an overview of the existing papers and a list of the primary authors with posterior probability using latent Dirichlet allocation.

This study examines tourism literature in which IoT plays a significant role. To the best of the authors’ knowledge, this study is the first to combine text mining with a bibliometric review. It significantly analyzes and discusses the impact of technology in the tourism sector development on attracting tourists while presenting the most important and frequently discussed topics and research in these writings. These findings provide researchers, tourism managers and technology professionals with a complete understanding of e-tourism and to provide smart devices to attract tourists.

Aunque ha habido un número importante de estudios sobre el turismo inteligente, todavía no se dispone de una revisión bibliográfica exhaustiva que permita examinar las corrientes de investigación y las sugerencias de investigación futuras. Este estudio examina la literatura sobre el impacto del Internet de las cosas en el desarrollo del sector turístico para atraer más visitantes utilizando una técnica de minería de textos y un análisis bibliométrico basado en citas.

Este estudio utiliza la programación R para hacer un análisis de texto completo de 36 publicaciones sobre IoT en el turismo y el software de visualización de similitudes (VOS) para realizar un análisis bibliométrico de citas de 469 documentos de la base de datos Scopus. Además, los documentos fueron sometidos a un estudio longitudinal mediante Excel y a la frecuencia de palabras mediante un tema de tendencia utilizando la herramienta R.

Los resultados del estudio bibliométrico revelaron las redes existentes en la literatura de la Gestión Turística. Con el uso de la log-verosimilitud, los resultados de la minería de textos identificaron nueve modelos temáticos sobre la base de la relevancia, que se presentan junto con una visión general de los documentos existentes y una lista de los autores principales con probabilidad posterior utilizando la asignación latente de dirichlets.

Este estudio examina la literatura sobre turismo en la que la IoT desempeña un papel importante. Este estudio es el primero que combina la minería de textos con una revisión bibliométrica. Analiza y discute de forma significativa el impacto de la tecnología en el desarrollo del sector turístico para atraer a los turistas, a la vez que presenta los temas e investigaciones más importantes y más frecuentemente discutidos en estos escritos. Estos resultados proporcionan a los investigadores, gestores turísticos y profesionales de la tecnología una comprensión integral del turismo electrónico y los dispositivos inteligentes para atraer a los turistas.

虽然已经有大量关于智慧旅游的研究, 但这些文章尚未整合成一个全面的文献综述, 可以检阅目前的研究流和未来研究的范畴。本研究首次使用文本挖掘技术和基于引文的文献计量分析, 来研究有关在旅游业发展中部署物联网对吸引更多游客的影响的文献。

本研究使用R编程对36篇关于旅游业物联网的文章进行全文分析, 并使用相似性可视化（VOS）查看器软件对Scopus数据库中的469篇论文进行文献计量引文分析。除此之外, 还利用Excel对这些文献进行了纵向研究, 并使用R工具对趋势主题进行了词频分析。

文献计量研究的结果揭示了旅游管理文献中现有的网络。通过使用对数似然, 文本挖掘的结果根据相关性确定了9个主题模型, 这些模型与现有论文的概述和主要作者名单在使用潜在狄里奇分配（LDA）的后验概率一起呈现。

本研究对旅游物联网相关文献进行了分析研究, 它首次将文本挖掘与文献计量学审查相结合。这项研究着重分析和讨论了技术在旅游行业发展中对吸引游客的影响, 同时介绍了这些文章中最重要和经常讨论的主题和研究。这些发现为研究人员、旅游管理者和技术专家提供了对科技与旅游的全面了解, 并提供关于智能设备来吸引游客的建议。

To examine demographic factors and travel motivations among leisure tourists in Tanzania. Specifically by examining the influence of demographic factors on travel motivation among local and international leisure tourists in Tanzania.

Approach is quantitative and applied descriptive statistics, independent t-test and ANOVA.

The findings showed that age, gender and family size as demographic factors significantly influenced travel motivation among local and international leisure tourists.

Future studies to consider different approaches including collection of data during the peak season, use qualitative method and conduct studies in other parts of the country to explore demographic factors and travel motivations of tourists.

To assist tourism stakeholders in their design of promotional tools to market tourism products/services to different tourists as opposed to homogeneous marketing campaigns.

Examined the influence of demographic factors and travel motivation among local and international leisure tourists in the context of Tanzania.

This study delves into the psychological processes underlying sport fans' post-purchase innovativeness behaviour. This exploratory research aims to establish a theoretical framework that elucidates the formation of sport fans' word-of-mouth (WOM) behaviours, particularly emphasising the structural relationship between motivated consumer innovativeness and satisfaction in using AR live-streaming services.

Utilising an online survey and convenience sampling, the study garnered a total of 243 usable responses from three online baseball fan communities in South Korea. Confirmatory factor analysis was employed to assess the psychometric properties of the constructs. Subsequently, a structural equation model was used to probe the influence of motivated consumer innovativeness on WOM, with a particular focus on the mediating role of satisfaction.

Three dimensions of motivated sport fans innovativeness – functional, hedonic and cognitive – showed a positive association with WOM, partly mediated by satisfaction. In contrast, socially motivated sport fans innovativeness did not directly lead to WOM but influenced it solely through satisfaction. The full mediating role of satisfaction in the relationship between socially motivated fans innovativeness and WOM was found.

This research stands out as one of the scant studies exploring motivated sport fans innovativeness in the context of AR live sport streaming. The findings not only corroborate but also augment the extant literature by empirically confirming that three dimensions of motivated fans innovativeness, coupled with satisfaction, are pivotal antecedents to WOM intention.

Whether a human body has a healthy carrying capacity is calculated by body mass index (BMI). The BMI is found by dividing body weight in kilograms by the square of body length. If the person's body weight is more than the heaviness that the body can carry healthily, it is called obesity. Destinations have a specific area, just like a human body. Therefore, any destination whose carrying capacity is exceeded can be called an “obese destination”. This study's primary purpose is to reveal the importance of destination carrying capacity through the concept of obesity.

Content analysis, one of the qualitative research methods, was employed, and graffiti reflecting the feelings of the local people toward tourists were used as data. Graffiti was considered as a social carrying capacity indicator to identify obese destination symptoms. Fifty graffiti obtained from search engines about destinations with obesity problems were analyzed.

The study's findings reveal that anti-tourist graffiti indicates obese destination symptoms. Furthermore, when the content analysis of graffiti is examined, it is seen that the obese destination's local people have intense anger toward tourists. This is a clear manifestation of the destination's health deterioration.

This study, in which the concept of obese destination is used for the first time, suggests that destinations' health may worsen just like people. If destinations with over-tourism are called obese, a more expansive awareness will be created about the destinations' problems. The study suggests that nonecolabel can be used as a mandatory diet tool for obese destinations. Anti-tourist graffiti has been addressed as an obese destination symptom.

While the branding of individuals has attracted increasing attention from practitioners in recent decades, understanding of personal branding still remains limited, especially with regard to the branding of celebrity CEOs. To contribute to this debate, this paper aims to explore the co-branding of celebrity CEOs and corporate brands, integrating endorsement theory and the concept of meaning transfer at a level of brand attributes.

A between-subjects true experimental design was chosen for each of the two empirical studies with a total of 268 participants, using mock newspaper articles about a succession scenario at the CEO level of different companies. The study is designed to analyse the meaning transfer from celebrity CEO to corporate brand and vice versa using 16 personality attributes.

This study gives empirical support for meaning transfer effects at the brand attribute level in both the celebrity-CEO-to-corporate-brand and corporate-brand-to-celebrity-CEO direction, which confirms the applicability of the concept of brand endorsement to celebrity CEOs and the mutuality in co-branding models. Furthermore, a more detailed and expansive perspective on the definition of endorsement is provided as well as managerial guidance for building celebrity CEOs and corporate brands in consideration of meaning transfer effects.

This study is one of only few analysing the phenomenon of meaning transfer between brands that focus on non-evaluative associations (i.e. personality attributes). It is unique in its scope, insofar as the partnering relationship between celebrity CEOs and corporate brands have not been analysed empirically from this perspective yet. It bridges the gap between application in practice and the academic foundations, and it contributes to a broader understanding and definition of celebrity endorsement.