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A general point of commitment theory is that the more individuals behave in a certain way toward an entity, the more attractive they feel toward that entity. The main purpose of this study is to investigate whether an individual’s perceived attractiveness toward a tourist destination is enhanced by the number of actual visits to each different attraction within the destination, being controlled by satisfaction.

In doing so, data were collected from 613 individuals at major tourist attractions and traffic centers in Daejeon Metropolitan City, South Korea. Hierarchical multiple regression was used to examine the findings, and the conclusions drawn indicate that there is a statistically significant relationship between the number of visits to different attractions and the perceived attractiveness of the destination, as well as the interaction effect between the number of visits to different attractions and satisfaction.

The results are supported by literature in the area of commitment theory, in which various authors state that attitudes are evoked by behaviors. Further examination of the findings and conclusions drawn are described in this paper.

This mechanism should strategically be applied to practical implications to provide more accessible routes to a destination and a networking system. When visitors engage in a community in various ways, they are more likely to continue to engage in a community because they do not prefer to have intangible or tangible costs associated with disengagement.

This paper is the first application of the concept of commitment traced from its original psychological theory to the field of tourism. The effort justification paradigm of commitment theory postulates that if individuals work or study hard toward a specific goal, they gradually perceive the goal as attractive. This study found that the aforementioned paradigm shift is expanded to various types of behaviors, including that involving travel. This paper contributes to an in-depth understanding of the original commitment theory and its application to tourism.

This study aims to extend the theory of planned behaviour (TPB) to develop finer understanding about tourist’s attitude and intention towards visiting a politically unstable and conflict-ridden destination such as Kashmir.

A research instrument adapted from previous studies is administered on 490 tourists. The data collected is subjected to exploratory factor analysis followed by structural equation modelling using SPSS and AMOS. The study tests and validates a more robust behavioural prediction model grounded on the TPB.

The results of the study found that the tourists’ destination choice intention in a politically sensitive area such as Jammu and Kashmir is collectively determined by perceived destination attractiveness, perceived destination image, familiarity with place, media exposure and perceived value. However, quite interestingly, perceived risk and attitude were found to be insignificant determinants of choice intentionality.

The study empirically validates extended TPB to predict tourist behaviour in a politically sensitive setting. Furthermore, the study provides vital inputs to the destination managers, policy makers and practitioners to develop strategies to enhance destination image and attractiveness. Although the study provides critical insights into the tourist’s decision-making process, nonetheless, certain limitations, such as restricted geographical approach, convenience sampling and ignoring the inter-group variations, warrant attention.

The study is essentially a pioneering effort in applying an integrated TPB model in determining destination choice intentionality in a politically sensitive region of Jammu and Kashmir. The region has the potential to be one of the best destinations in the world. Therefore, studying the tourist perceptions and attitudes and intention towards Kashmir could help the local government and other destination management organizations in charting future courses of action.

本研究旨在扩展计划行为理论（TPB）, 以便更深入地了解游客对以克什米尔为例的政治动荡、冲突不断型旅游目的地的态度和意向。

基于以往研究, 本文修订开发了适用于本研究的研究工具, 并据此采集了490个游客样本。运用SPSS软件和AMOS软件, 本研究对样本数据进行了结构方程建模, 并以此进行探索性因子分析。本研究检验并验证了基于计划行为理论（TPB）的更有力的行为预测模型。

研究发现对于查谟和克什米尔这类政治敏感的目的地, 游客的目的地选择意向由目的地感知吸引力、目的地感知形象、感知价值、媒体曝光度和游客对地方的熟悉程度共同决定。研究还有一项有趣的发现：感知风险和态度对游客的目的地选择意向的影响并不显著。

研究实证检验了扩展计划行为理论对政治敏感环境下游客行为的预测作用, 为目的地管理人员、政策制定人员和从业人员等提升目的地形象和吸引力提供了重要参考。然而, 尽管本研究揭示了游客的决策行为过程, 但研究结论仍受限于以下几点：单一的地理研究方法、方便抽样法、忽视了群体间的差异。

本文开创性地利用扩展的计划行为理论模型研究游客对政治敏感地区——查谟和克什米尔的选择意向。克什米尔地区有潜力成为全球最佳的旅游目的地之一, 因此研究游客对该地区的感知、态度和意向对于当地政府和其他管理组织制定未来的行动方案具有重要意义。

Este estudio se centra en extender la teoría del comportamiento planificado para una mejor comprensión de la actitud y la intención de los turistas de visitar un destino políticamente inestable y conflictivo como Kashmir.

Se administró un cuestionario adaptado de estudios previos a 490 turistas. Los datos recogidos se analizaron mediante análisis factorial exploratorio seguido de un modelo de ecuaciones estructurales mediante SPSS y AMOS. El estudio prueba y valida un modelo de predicción de comportamiento más robusto basado en la Teoría del Comportamiento Planificado (TPB).

Los resultados del estudio muestran que la intención de elección del destino en un área políticamente sensible como Jammu y Kashmir está determinada conjuntamente por el atractivo percibido del destino, la imagen percibida del destino, la familiaridad con el lugar, la exposición a los medios y el valor percibido. Sin embargo, el riesgo percibido y la actitud resultaron ser determinantes no significativos de la intencionalidad de elección.

El estudio valida empíricamente la TPB ampliada para predecir el comportamiento de los turistas en un entorno políticamente sensible. Además, el estudio proporciona información relevante a los gestores de destinos, los responsables políticos y los profesionales para desarrollar estrategias que mejoren la imagen y el atractivo de los destinos. Aunque el estudio proporciona una visión crítica del proceso de toma de decisiones del turista, ciertas limitaciones, como el enfoque geográfico restringido, el muestreo de conveniencia y el hecho de ignorar las variaciones intergrupales, merecen atención.

La investigación presenta un esfuerzo pionero en la aplicación de un modelo TPB integrado que determina la intencionalidad de la elección del destino en una región políticamente sensible de Jammu y Kashmir. La región tiene potencial para ser uno de los mejores destinos del mundo. Por consiguiente, el estudio de las percepciones, actitudes e intención de los turistas hacia Kashmir podría ayudar al gobierno local y a otras organizaciones de gestión de destinos a trazar acciones futuras.

This paper aims to analyze the customer-based brand equity index (CBBE-I) of Tourism Brand Kurukshetra.

For the purpose of this study, the author uses primary and secondary data on destination attractiveness of Tourism Brand Kurukshetra for a sample of 150 tourists including domestic and international. The study used structural equation modeling and factor weighting methods.

The research presents an investigation into the destination attractiveness index of Tourism Brand Kurukshetra in an emerging market, i.e. Kurukshetra. Tourism Brand Kurukshetra from the brand equity perspective is an attractive destination.

It suggests that the CBBE index of Kurukshetra ought to analyze a longitudinal study to get the proper image of Kurukshetra from a touristic perspective. It provides long-term attractiveness to enhance tourism.

This is the first brand equity study contributed to branding literature of Tourism Brand Kurukshetra. The index is an accomplished way to present the tourism condition of any destination.

Local natural and cultural resources should be the basic elements to differentiate destinations through innovative products and services, in order to ensure both their competitiveness and sustainability in the long run. This chapter covers a critical literature review on the topics of innovation, differentiation, competitiveness, and sustainability in tourism. A panel data model is developed in order to define regional demand functions for regions in Portugal, Spain, France, and Italy, estimating the influence of natural and cultural heritage, innovation, and other “traditional” factors of competitiveness on the attractiveness of tourism destinations.

Climate change places significant pressure on the tourism sector by altering environmental and socio-economic conditions that influence tourist behaviour and the attractiveness of destinations. Rising temperatures, changing precipitation patterns and the increasing frequency and severity of extreme weather events affect tourism supply and demand. On the supply side, climate change threatens tourism infrastructure, natural attractions, recreational opportunities and accessibility of destinations. Coastal destinations are particularly vulnerable to sea-level rise and coastal flooding, which can damage tourism assets. On the demand side, changing climatic conditions alter visitor comfort levels, health risks and the seasonality of destinations, influencing tourists' choice of destinations. In addition, small island destinations face unnecessary risks due to their economic dependence on climate-sensitive activities such as beach and nature tourism. Adapting the tourism sector to climate change requires reducing vulnerability through diversification, green infrastructure, ecosystem conservation, community-based adaptation and policy support. Mitigating tourism's contribution to climate change requires minimising energy use, switching to renewable energy, improving efficiency, reducing long-haul flights and promoting sustainable consumption and production. Collective and concerted efforts by all stakeholders are needed to transition to a climate-resilient and low-carbon tourism sector that continues to provide socio-economic benefits while minimising its environmental footprint.

The purpose of this paper is to explore how Americans choose a country and medical facility to travel abroad for medical treatment based on the following factors country environment, tourism destination, medical tourism costs and medical facilities and services.

Online survey with the help of Amazon Mechanical Turk website was used for data collection, and 541 valid cases were used of American residents who had travelled abroad for medical tourism. Exploratory and confirmatory factor analyses were undertaken to validate the scales.

Findings indicated four major factors that can influence American medical tourists’ choices of medical tourism destinations. These factors are overseas’ country factors, attractiveness of tourism destination, medical tourism costs and facilities and services. Both the convergent and discriminant validities for the constructs were established. The results of the measurement-model-fit based on various measures were within the suggested cut-off values.

Out of the 541 responses of post-travel experienced medical tourists, it is hard to tell how similar/dissimilar the participants are in terms of ranking the four factors. To be competitive to attract global medical tourists, research suggests that the five popular countries of treatment, India, China, Thailand, Mexico and Turkey, identified in this study should provide high quality of medical and tourism facilities to patients.

This study contributes to the understanding of the underlying factors, which influence American medical tourists’ choice of destinations, with validated scales. For this exploratory research, 25 new items together with 34 items from other studies were adapted.

The aim of this study is to explore the attractiveness of tourist night markets by looking at the dual nature of retail service and tourism from a supply-side perspective.

The authors conducted field observations to understand the offerings at night markets and used content analysis to explore the attributes of vendors who operate there.

The research reveals that the attractiveness of night markets derives from the diversity of service contents and local food, affordable consumption (the lowest unit prices, with products under US$3.3 comprising approximately 70 per cent of those offered), temple festivals and the various service attributes of vendors. These night market features generate physical perceptions and personnel perceptions among tourists. Vendor service attributes include performance, empathy, responsiveness and courtesy. Unique and interesting performances comprise a special attribute of night markets that differ from other service industries.

The results provide information on how tourism officials can promote night markets as tourist destinations and what kinds of vendor service attributes please tourists the most.

This study expands on the literature that discusses perceptual attributes to tourist street markets by exploring the service contents of these markets and by identifying the service attributes of vendors.

Sustainable development is the part of every context of life. However, these is a lack of serious attention on the concept of sustainable tourism. Therefore, issues like cultural disintegration, inequality of shared benefits and lack of conservation of resources for future have been evident regularly. Similar is the case of Asian market although lack of research and publication under this vein is one of the major reasons for lack of user or readers knowledge. Therefore, this chapter has been written purposively in order to discuss the concept, theories, problem as well as factors behind sustainable tourism with special focus towards the factors that are causing problem in development and managing of tourism destination. Although to make the chapter interesting and important, authors try to relate the work with hurdles in India and Pakistan. Therefore, the significance of the study has many folds as it does not only initiate further research work but also optimize policymaking and entrepreneurial activities in way that will suit and support sustainable tourism practices.

The effects of travel motivation and emotional experience on both tourist satisfaction and destination loyalty are recognized and have been extensively researched as key factors in tourism success. However, the structural relationships between these factors, considering the mediating effects of eudaimonic well-being (optimal psychological functioning), have been scarcely investigated in the consumer tourist behaviors literature. This study aims to develop an integrated model explaining the impact of travel motivation and emotional experience on tourist satisfaction and destination loyalty, mediated by eudaimonic well-being in the realm of domestic tourism.

A quantitative survey was conducted with 321 domestic tourists visiting Aqaba in Jordan; structural equation modeling was used to analyze the empirical data.

The findings of this study indicate that both travel motivation and emotional experience have a direct effect on eudaimonic well-being and that eudaimonic well-being has a direct effect on both tourist satisfaction and destination loyalty. Additionally, travel motivation and emotional experience have significant indirect impacts on post-consumption behaviors mediated by eudaimonic well-being.

This study contributes to the literature on consumer behavior in a tourism context by developing a fresh model that improves theoretical knowledge of the relationships between travel motivation, emotional experience and eudaimonic well-being, which underlie tourist satisfaction and destination loyalty formation. This study also advances theoretical understanding of the key roles of eudaimonic well-being in the tourist experience. Managerial implications of these findings are discussed.

The main aim of the chapter is to propose a conceptual approach for the creation, exploitation and building of a competitive advantage through which it would be possible to create a unique place from tourism space. In the chapter we present theoretical basement for the issue of competitive advantage at the level of places, its types, factors and approaches for its creating, building and exploiting. In the chapter we specify one main hypothesis and one research question. They are verified through several scientific, statistical and mathematical methods. These methods are used for the evaluation of primary and secondary research results. In the final part of the chapter, a conceptual approach for identification and exploitation of competitive advantage aimed at building unique and competitive places was proposed.