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At a time when many people are experiencing stress, burnout, and strain at work, a relaxing vacation becomes increasingly important. Remote locations such as Bali, the Maldives, or the Caribbean have experienced a steady increase in popularity: exotic dishes, turquoise water, and white sandy beaches are often tourist magnets. While the corona crisis is changing the name of the game at this point, those destinations may attract travelers seeking remote destinations catering to the individual rather than the group. In response, new luxury resorts have emerged in recent years fostering global travel with its set of positive and negative impacts on the environment, the economy, and communities. In light of a global climate emergency, is luxury tourism in remote destinations compatible with sustainable development? This chapter, exploratory by nature, concludes that if there is one hope, it is that sustainability becomes the sine qua non of luxury tourism in the near, post-corona future.

Remote communities often face a range of problems related to distance, service provision, high costs, and economic uncertainty. Many of these problems are structural and a direct result of their location on a periphery. In recent decades many remote settlements have looked to the tourism sector to supplement existing local economies. Numerous tools variously described in the literature as theories, models, and frameworks have been suggested as approaches for assisting local economies develop tourism. In searching for solutions, it is not unusual for researchers to advocate a standalone theory, model, or framework as a preferred approach. However, this method ignores the complexity of the real world and that solutions usually require a multidimensional approach based on combining various theoretical tools. This paper proposes an open architecture approach that utilizes a number of theories and models that can be selectively and collectively used to assist remote settlements develop a tourism sector. This approach was tested in Cooktown, Australia. One outcome was the identification of a range of deficiencies in the strategies currently used by the destination.

The purpose of this paper is to compare the evaluations of various risks by young Israelis living in conflict area and their Polish counterparts, who do not live in conflict area and how these perceptions affect their traveling intentions to destinations with different types of risks – Egypt, Turkey, India and Japan.

The research participants were 713 Israeli and Polish students who responded to a structured questionnaire.

The findings validate the assumption that contextual distinctions shape differently factors affecting traveling risk estimation and the intention of young people to travel abroad. The results indicated that the priming effect is substantial, reflected in Israelis’ significantly higher assessments of risks concerning destinations with terror, health and natural disasters hazards in comparison to Poles’ evaluations. As predicted, Israeli students exhibit lesser intentions to travel to Turkey, Egypt and India than their Polish counterparts. The study also showed similarities between Israeli and Polish students. Young tourists’ with strong aversion to health hazards exhibit low intention to travel to India and those refraining from economic crisis are reluctant to travel to Egypt. The intention to travel to Japan and India decreased with high perception of destination risks.

The current study constitutes a new departure in studying the contextual effects on travel-related decision making. It focusses on the impact of conflict ridden environment on intentions, attitudes and risks perception of young tourists with respect to traveling to risky destinations, previously hardly studied.

The purpose of this paper was to examine the direct economic and social benefits accruing from the Birdsville Races. The paper also explores how strategic place marketing has been used to shape the image of the destination, and how this has provided a boost to tourism visitation to periods outside of the event.

This study was based around a textual analysis of online discourse, interviews with local residents and business owners and a survey of visitors.

The data indicate that the Races make a solid contribution to the local, regional and state economy; however the local economic benefits are relatively limited due to the high level of leakages. It is also clear that the Races provide important social benefits by generating a strong sense of history, togetherness and engagement among the local community. Another important benefit is the national and international exposure the event receives, enabling the generation of additional economic benefits.

The practical implications of this study are that regardless of its size and/or location, the staging of a high-quality event or festival can help a destination to market itself effectively, both nationally and internationally. This exposure will generate additional benefits to the destination, region, state and nation. A successful event can also enable a destination attract substantial government funding that can further enhance the event experience.

This paper illustrates that an event hosted in a very remote destination in outback Australia can provide direct benefits as well as indirect benefits. Place marketing can also allow the generation of an “iconic” image for a destination.

Although the number of guest houses in China is increasing rapidly, many of them are not performing well in developing customer loyalty. Self-congruity and functional congruity represent two cost-effective but inadequately researched ways for guest houses to maintain customers. In view of the lack of empirical research explaining the post-purchase behavior of guest house customers, the purpose of this study is to develop a congruity-based customer loyalty model for this specialized type of accommodation.

Based on a review of relevant literature, a robust conceptual framework of customer loyalty comprising satisfaction, self-congruity, functional congruity, perceived value and attractiveness of alternates was constructed. By means of an online panel survey, 828 valid questionnaires were obtained from customers who had stayed in a Chinese guest house within the previous year. Structural equation modeling was conducted to test the conceptual model and the hypothesized relationships among the constructs.

Significant relationships were found between the two congruity constructs in guest houses, which both led to positive customer post-purchase behaviors. The authors found that self-congruity, functional congruity and the attractiveness of alternates did not affect customer loyalty directly; rather, they influenced loyalty indirectly through customer satisfaction.

This study developed a unique, congruity-based model of customer loyalty in the context of guest houses. It enhances the body of knowledge regarding congruity in the field of tourism and hospitality, and it discusses relevant implications of the findings for tourism marketing researchers and for owner-managers of guest houses.

虽然民宿增长迅速, 多数民宿在顾客忠诚上表现较差。自我一致性和功能一致性作为民宿维持顾客的有效手段, 在学术上研究较少。鉴于学界缺乏对民宿顾客购后行为的实证研究, 本研究试图构建一个基于一致性的民宿顾客忠诚模型。

在文献综述基础上, 我们构建了一个基于一致性的顾客忠诚模型。用在线样本库的方法调查了过去一年有过民宿住宿体验的顾客, 最终收集了828份有效问卷。

研究发现, 两个一致性表现对顾客的购后行为存在显著影响。同时, 本研究显示, 自我一致性, 功能一致性和替代者吸引力并不直接影响顾客忠诚, 而是通过影响顾客满意影响忠诚。

基于一致性的新视角, 民宿顾客忠诚模型被重塑。本研究可以加深对接待业自我一致性研究的理解, 并为旅游营销研究提供启示。论文最后还讨论了研究结果对民宿研究和管理者的启示。

Aunque el número de casas de huéspedes en China está aumentando rápidamente, muchas de ellas no están funcionando bien en el desarrollo de la lealtad del cliente. La autocongruencia y la congruencia funcional representan dos formas rentables pero inadecuadamente investigadas para que las casas de huéspedes mantengan clientes. En vista de la falta de investigación empírica que explique el comportamiento posterior a la compra de los clientes de la casa de huéspedes, el presente estudio busca desarrollar un modelo de lealtad del cliente basado en la congruencia para este tipo especializado de alojamiento.

Con base en una revisión de literatura relevante, construimos un marco conceptual robusto de lealtad del cliente que comprende satisfacción, autocongruencia, congruencia funcional, valor percibido y atractivo de alternativas. Mediante una encuesta de panel en línea, obtuvimos 828 cuestionarios válidos de clientes que se habían alojado en una casa de huéspedes china durante el año anterior. Se realizó un modelado de ecuaciones estructurales para probar el modelo conceptual y las relaciones hipotéticas entre los constructos.

Se encontraron relaciones significativas entre las dos construcciones de congruencia en las casas de huéspedes, lo que condujo a comportamientos positivos posteriores a la compra del cliente. Descubrimos que la autocongruencia, la congruencia funcional y el atractivo de las alternativas no afectaban directamente la lealtad del cliente; más bien, influyeron indirectamente en la lealtad a través de la satisfacción del cliente.

Este estudio desarrolló un modelo único de lealtad del cliente basado en la congruencia en el contexto de las casas de huéspedes. Mejora el conjunto de conocimientos sobre congruencia en el campo del turismo y la hospitalidad, y analiza las implicaciones relevantes de los hallazgos para los investigadores de marketing turístico y para los propietarios-gerentes de casas de huéspedes.

While the number of tourists worldwide is expected to reach 1.8 billion people by 2030, tourism destinations try to meet demand for increasing tourism. However, some tourism destinations are experiencing a maturity period of destination life cycle intensively. During these mature periods, while they meet the demand above their tourism carrying capacity, they encounter some problematic issues. In tourist destinations such as Venice, Barcelona and Paris, the negative feelings developed by the local people towards overtourism or tourists result in serious problems like negative destination images, tourism phobia, etc. In these destinations, to prevent the negative consequences of overtourism, destination stakeholders should develop solutions to these problems. There are many solution techniques for the problems which cause overtourism. One of them is the different tourism types which have been developed as an alternative to mass tourism. These alternative tourism types can be handled as a method for solving problems revealed through excess demand in tourism destinations at risk. For example, some tourism destinations which have both beach tourism and nature-based tourism types can bring nature-based tourism activities to the forefront with promotion and marketing activities and therefore, the tourism demand could be balanced between these tourism types. In this context, firstly, comprehensive literature review of overtourism and alternative tourism will be conducted in this study. And then the different types of tourism such as ecotourism, cultural tourism and responsible tourism will be discussed in detail and their relation in reducing the negative consequences of overtourism will be investigated theoretically via secondary data. Therefore, alternative tourism potentials will be investigated and tried to present the managerial suggestions for the development of different alternative types of tourism. As a result, it has been seen that, alternative tourism not only contributes to the growth of tourism in both popular and remote destinations but also makes sure that destinations get their fair share in income distribution of the country.

The purpose of this paper is to explore the destination image of Mongolia held by actual and potential tourists, including how such images are formed and its implications in destination marketing.

A quantitative research was undertaken in order to understand the image of Mongolia held by actual and potential tourists and how such images were formed. An online questionnaire survey, that utilized structured questions, was carried out in leading travel blogs.

Destination image plays an important role in determining whether a destination will be visited or not. Actual visitors' experience and perception of Mongolia was found to be highly positive and showed that generally the projected image represents an accurate picture of Mongolia. However, many potential visitors perceived Mongolia to be a long haul destination, that is remote and isolated.

Successful destination marketing campaigns will require tourism marketers to understand how those images are formed. This information will enable them to project a positive image to the right target markets. Understanding the information sources is beneficial to long haul destinations such as Mongolia, which can use such channels to promote their destination.

Most destination image studies have concentrated on mainstream tourism destination and less popular long haul destinations such as Mongolia have received little, if no, attention. This paper will appeal to destination marketers of other long haul destinations who are seeking to position their destination in the right target markets.

Geographic periphery regions are the focus of sustainable regional development research, with ongoing discussions on core–periphery relationships to address economic disadvantage and remoteness. However, periphery regions face challenges due to the high efficiency of core regions. Tourism provides an alternative economic landscape, revitalizing stagnant sectors and driving strategic exploration. The Sino-Russian border, spanning 4,209 km, represents a periphery where tourism plays a vital role. This chapter views Sino-Russian cross-border tourism through the lens of the core–periphery model, suggests two conceptual models of developing experiential cores in the cross-border areas of geographic peripheries, and argues for peripheries' potential to become sustainable experiential cores post COVID-19.

This study aims to assess whether similar user populations in the Internet produce similar geographical traffic destination patterns on a per‐country basis.

The authors collected a country‐wide NetFlow trace, which encompasses the whole Spanish academic network. Such a trace comprises several similar campus networks in terms of population size and structure. To compare their behaviors, the authors propose a mixture model, which is primarily based on the Zipf‐Mandelbrot power law to capture the heavy‐tailed nature of the per‐country traffic distribution. Then, factor analysis is performed to understand the relation between the response variable, number of bytes or packets per day, with dependent variables such as the source IP network, traffic direction, and country.

Surprisingly, the results show that the geographical distribution is strongly dependent on the source IP network. Furthermore, even though there are thousands of users in a typical campus network, it turns out that the aggregation level which is required to observe a stable geographical pattern is even larger.

Based on these findings, conclusions drawn for one network cannot be directly extrapolated to different ones. Therefore, ISPs' traffic measurement campaigns should include an extensive set of networks to cope with the space diversity, and also encompass a significant period of time due to the large transient time.

Current state of the art includes some analysis of geographical patterns, but not comparisons between networks with similar populations. Such comparison can be useful for the design of content distribution networks and the cost‐optimization of peering agreements.