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This study aims to analyze the war museum experience by analyzing the comments and feedback provided by visitors on Google and TripAdvisor. This analysis intends to uncover the various aspects of war museum experiences.

A total of 201 comments, in which visitors explicitly articulated their experiences at the museum, were subjected to analysis. The comments were examined using a netnography analysis. Four dimensions; object experience, cognitive experience, introspective experience and social experience were used to group the analyzed remarks.

The findings indicate that the majority of the participants' museum experiences at the Canakkale Gallipoli Epic Promotion Center were introspective experiences, that the visitors felt extremely strong emotions as a result of the technological systems used in the museum and that they perceived the museum as being in a combat zone. Additionally, it was noted that the appearance of the artifacts in the museums really impressed the tourists and that the museum had provided them with thorough information about the war.

The limitations of this study are the number of visitors to the museum and the number of reviews written on Google and TripAdvisor about the visit experience. Especially since the majority of the reviews on Google do not include comments and only consist of ratings, the number of comments on the museum experience is limited.

While there exists a range of studies examining the experiences of tourists at historical places, there is a scarcity of research that specifically focuses on analyzing the impacts of these experiences from the visitors' standpoint. Given the absence of any existing study examining the experiences of war museum visitors using the netnographic approach within this particular context, this research is believed to possess originality and is anticipated to address the existing gap in the relevant literature. Furthermore, this work holds significant theoretical and practical ramifications for curators and scholars. To the best of the authors’ knowledge, since this research is the first to comprehensively analyze the experiences of war museum visitors using the netnographic approach and no similar studies have been found in existing literature, the findings of this study are considered original.

This study is carried out to investigate the effects of tourism expenditure, technological development and foreign direct investment on tourism development in the United States of America, a top international tourism destination in the world, from 1995 to 2021.

To this end we use the Autoregressive Distributive Lag method which captures short and long run effects. This method is also fundamental in presenting robust results when time series data with short time periods is used. The FMOLS and DOLS methods are used to ensure the robustness of the findings.

The results of the Autoregressive Distributive Lag indicate that spending on tourism contributes to the growth of the tourist industry in the country. The study reveals that economic growth has a detrimental impact on the development of tourism. Furthermore, carbon emissions are exclusively impeding the long-term progress of tourism development. The country's prioritization of economic growth has led to a rise in carbon emissions, disregarding the desire of tourists to experience a pollution-free and natural environment. Moreover, foreign direct investment exerts a beneficial impact on the advancement of tourism.

Although there has been numerous research on the factors that influence tourism, there is less documentation on the specific factors affecting tourism development. The research examines the effect of carbon emission of tourism development of United States, the World's top tourism destinations. Few studies have attempted to unlock this association in the United States; hence, the research originality.

The purpose of this study is to test the relationship of cognitive destination image and affective destination image with tourist satisfaction and revisit intention. This study also tested the mediation effect of tourist satisfaction between cognitive destination image and affective destination image with revisit intention. Furthermore, place attachment is aimed to test as a moderator between tourist satisfaction and revisit intention.

Participants in this study are international visitors who were visiting different tourist places in Pakistan. A total of 340 tourists participated in the data collection process, and subsequent data analysis was performed using SPSS and smart-PLS.

The results confirmed a significant effect of affective destination image on revisit intention, whilst’ cognitive destination image does not signify a significant influence on revisit intention for international tourists; however, tourist satisfaction confirmed the mediation effect between cognitive-affective destination image and revisit intention. Furthermore, the place attachment confirmed significant moderation with revisit intention.

This study provides valuable insights into the context of tourist revisit intention in Pakistan. To the best of the authors’ knowledge, the model tested in this study (affective destination image and cognitive destination image > tourists’ satisfaction > place attachment > revisit intention) is developed for the first time and is the first of its kind to test the moderation effect of place attachment with revisit intention. This study is supported by the Oliver expectancy disconfirmation theory and the Bowlby theory, which is another novelty of this study.

The purpose of this paper is to examine the 2015 Union Cycliste Internationale (UCI) Road World Cycling Championship in Richmond, Virginia.

An array of eclectic methods included in situ witness observations of several of the races, 21 semi-structured random interviews and multiple discussions with elements of UCI, the city of Richmond’s planners, residents and business owners during and after the championship in fall 2015.

This paper has uncovered five findings: First, the material investment was considerably smaller than that of other events (common good criterion CGC i – good governance); second, pre-planning was critical to successfully hosting the event; third, this event included not only two entities as one would expect at first glance, but many (common good criterion CGC ii – good management); fourth, a filière approach to community service and the exploitation of clustered thematic activities was of critical importance to successfully hosting the 2015 UCI Road World Cycling Championship; and fifth, this event enabled the opportunity to market other city and regional assets (common good criterion CGC iii – good outcomes).

Cities hoping to bid for events ought to consider hosting unique events such as road championships. Those cities will benefit from careful event pre-planning, responsible event hosting and post-event legacies in the form of socio-economic and mindscape memories.

Bidding and pre-event planning is increasingly seen as an opportunity to locate, create and develop support for common good urban projects, which will remain valuable after the event is over or which will need to be built in spite of the bid’s result.

This study fills an unresearched gap on the impact of events on a city’s future non-motorized sustainable transportation priorities.

Climate change has been universally recognized as a major threat to human well-being, necessitating a comprehensive transformation of people's activities. Various measures have been proposed to contain climate change among which the green transformation grabs special attention, thanks to its desirable properties. Within the green transformation process, green tourism comes to prominence with huge potential. As one of the largest carbon emitters, the transition towards green tourism may offer substantial benefits not only for tourism companies but also for the whole economy. Yet, most studies tend to focus on the adverse effects of tourism on climate change while overlooking the potential impact of climate change on tourism. This chapter clarifies the feedback relationship between climate change and tourism and makes some recommendations.

The purpose of this paper is to create optimally located Facilitation Centers on this tourist circuit, evaluated through network analysis, thus creating an effective linkage between tourism and economic activities of the craftsmen who are the custodians of the cultural heritage of Puri.

The craft villages lying in and around this tourist circuit are surveyed to establish socio-economic condition of artisans, significance of the craft and spatial distribution of craft villages and the willingness of artisans to travel closer to the transport spine. Network analysis is used to assess the suitability of Facilitation Center location using travel time and distance as parameters. Finally, the sustainability of the Facilitation Centers is evaluated using a cost-benefit analysis (CBA).

The Facilitation Centers can be spatially developed at the strategic locations to expand tourist market. This will help in leveraging the economic benefits of tourism to a marginalized rural artisan community by creating a sustainable model.

The focus on festival can help to protect local cultural traditions, develop tourism and promote the economic, social and cultural developments of the destination. Dispersal strategies adopted aim to increase visitors' satisfaction with the product and thus entice them to stay longer in the destination.

This study aims to use TripAdvisor data to identify which themes and events will attract more interest in the future of tourism activities and to provide guidance to the industry accordingly.

This study used qualitative case study approach. To identify key themes in the top-rated activities, thematic analysis of user-generated content was conducted through MAXQDA 2020 Analytics Pro software.

The findings of this study indicate a growing trend in tourist preferences, with a notable increase in the popularity of wellness activities such as spa treatments and yoga retreats. Tourists also highly prefer cultural experiences like local festivals and historical tours, adventure activities such as hiking and water sports, and food-related activities like cooking classes and wine tastings. There is a significant trend towards sustainable and environmentally friendly tourism activities. These results underscore the need to cater to diverse tourist interests in developing future tourism offerings.

Developing innovative events, using data-driven marketing strategies, involving local communities, and catering to diverse preferences can enhance the sustainability and competitiveness of the tourism sector.

Understanding tourists' tendencies towards cultural, adventurous and sustainable experiences helps tourism operators and managers to create offers that satisfy tourists while promoting environmentally friendly practices. This shift promotes cultural preservation, environmental protection and community involvement.

This study uniquely analyzes top-rated TripAdvisor activities to identify key trends in tourist preferences, highlighting the growing demand for cultural, adventurous, gastronomic, and sustainable tourism.

Historically, governments have favoured the economic benefits associated with tourism development resulting in many tourism destinations being confronted with overdevelopment, crowding, environmental degradation as well as damage to the social and cultural fabric, especially pronounced in high attractivity destinations. The devastating consequences of the SARS-CoV-2 pandemic for tourism have led to a realisation that actors participating in tourism are especially susceptible to major health and security crises or natural disasters, mainly because their services are location bound and cannot be sold elsewhere. The involuntary ‘pause’ in travel worldwide has led many governments to realise that tourism policies must be placed in a broader context and that stakeholders, including residents and the environment where the brunt of the negative consequences are most deeply felt, must be an intrinsic part in determining the outcomes to be achieved. To Snowclone John F. Kennedy: ‘Ask not what your destination can do for tourism, ask what tourism can do for your destination’. Indeed, the visitation process involves the demand-driven co-creation or co-production between visitors (resident, day and overnight) and hosts, mostly based on the use of public goods. The complexity of this visitation system with its myriad stakeholders means that there cannot be a single tourism or visitation policy, but that there must be different policies that intervene at different points in the system and create an impact. Thus, policy formulation must be context-specific, individualised and take into account the interdependence among policies to achieve the desired outcomes.

The usage of AI-powered chatbots and virtual assistants facilitates seamless communication, offering instant responses to inquiries and enhancing customer satisfaction. In Japan, the hospitality industry is at the forefront of this AI-driven transformation and through collaborations with technology companies, hotels are deploying AI-powered concierge services, smart room automation, and language translation systems to cater to diverse guest needs. The integration of AI in Japan's tourism sector not only enhances operational efficiency but also showcases the country's commitment to innovation and delivering exceptional customer experiences. As Japan embraces AI in its hospitality industry, it navigates the delicate balance between leveraging technology and preserving human interaction and by combining the efficiency and accuracy of AI with the warmth and personal touch of human hospitality, Japan aims to redefine the future of tourism. Moreover, AI streamlines operations by automating repetitive tasks, optimising resource allocation, and improving efficiency in areas such as reservation management, inventory control, and demand forecasting. However, along with these benefits, there are significant challenges to consider. Privacy concerns arise as AI systems collect and process personal data, necessitating robust security measures to protect sensitive information. Ethical considerations must also be addressed, as the use of AI raises questions about transparency, bias, and accountability. Furthermore, while AI enhances efficiency, there is a concern about losing the human touch that has long been a hallmark of the hospitality industry. Balancing the benefits of AI with maintaining personalised and authentic guest experiences becomes a crucial challenge.

This paper aims to model the price of cellar tours using a hedonic pricing approach. The authors analyze the complex relationship between the price of an add-on (here, cellar tours) and the price of the reference product (here, wine).

Thanks to a large database containing information on about 1,000 winery experiences, the authors regress the price of cellar tours on wine prices and on a broad set of objective characteristics that are (1) tour specific and (2) common to all tours offered by the winery. These exogenous controls include the type and style of experience offered, amenities and winemaking characteristics.

The authors show that the price of cellar tours follows the price of the most expensive wine sold by the winery, which is a proxy for reputation. The authors find that one of the main determinants of cellar tour prices is visit length: wineries charge more for longer experiences. The number of wines tasted during the visit also increases the price. Prices are higher in places where there is a high level of wine tourism activity, which might be a sign of authenticity.

Wine producers in different countries need to gain insights on how to price cellar tours, which are composite goods. The results can help practitioners price their winery experience according to common practices in different wine regions. The results may also be of interest to professionals in the tourism sector who are in charge of the pricing of by-products (e.g. tee-shirts, books, etc.), or for luxury fashion labels extending their brand in the catering industry with cafes and restaurants.

To the best of the authors’ knowledge, this paper is the first empirical analysis that examines the complex relationship between the price of an add-on and the price of the reference product in the context of wine tourism.