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A tourist destination represents a dynamically regulated system that evolves in space and time. Therefore, it is necessary to anticipate various system reactions to internal and external influences, so that actions can be directed towards the specific goals of supply and demand for products of tourist destinations. A successful process in the life cycle of tourist destination product planning is based on the anticipation and awareness of all participants of supply and demand, as the sustainability values must be perceived within the framework of an integrated destination product. It is necessary to examine assumptions and features of the market valuation of destination business processes from an economic, social and environmental standpoint in line with the principles of sustainable development. This implies the creation of a methodological basis for the recognition, measurement and tracking of complex processes and synergic effects, important for the development of relevant management information-based structures and functions. Measuring the eco-efficiency of a tourist destination represents the basis for building a system of reporting on changes and impacts individual business subjects deployed in the environment. An integrative information system of tourist destinations should provide information on the eco-efficiency of individual business processes, activities, products or a Strategic Business Unit's (SBU's) entire life cycle. Obtained information allows for the preparation of an information basis for reporting on environmental aspects within the system of tourist destinations sustainable development reporting.

Owing to the complexity of the tourist product most firms in a tourist destination are interdependent on one another. As well as being competitors they also have to work together on creating the overall quality of the total tourist product. It is difficult to separate co‐operation from competition. The purpose of this paper is to discuss a co‐opetitive theory of business derived from the results given by a networking study of marketing a tourist destination dominated by micro businesses and independent entrepreneurs. The results of the study show that there are two different sets of values in the destination and these determine and distinguish the way firms are involved in networking.

The analysis of consumer behaviour requires the consideration of various processes internal and external to the individual. To understand behaviour, it is necessary to examine the complex interaction of many influencing elements. This study deals with determinants of behaviour, culture and reference group influences, the relationships between individuals and their environments, perceived risks, and family decision processes. It concludes with an illustration of tourist behaviour modelling.

Today tourism is recognised as a very complex social and economic phenomenon having a spatial, socio-cultural, economic, political, educational and environmental dimension. Furthermore, tourismis transformingtowards an individual and his/her needs, desires and interests, with a full respect for the surroundings and environment, which are given an increasing importance. Consequently, there have been changes not only in the structure of tourist consumption and in the behaviour of tourists, but also in the concept of a tourist offer. In this sense, numerous forms of special interest tourism are increasingly being developed in response to the needs of modern tourists to experience something new, authentic and different from their everyday environment. Tourists, saturated with the global trends' consequences that dominantly foster a kind of uniformity on their trips, are increasingly looking for the uniqueness or experience that is different from their own culture. Gastronomy, as a part of the local community's cultural identity, stood out as an authentic element of the tourist destination's offer, to which tourists are increasingly paying attention, which is increasingly becoming the basic motive of travelling for modern tourists.

Taking into account the current trends of the leading global source markets of the world, as well as the growing need to create a common tourist offer of the Western Balkan economies, this concept of Mountain Breakfast applied in the Western Serbia Region could represent a good example and a platform for connecting tradition, local producers, gastronomy and tourism.

This paper aims to explore the causal relationship of user-generated content (UGC) on trust in UGC (TUGC), destination image (DI) and tourist visit intention (VI) guided by the stimulus-organism-response (SOR) theory. This work further examined the mediating effect of TUGC and DI between UGC and VI.

Data were collected through online and personal-administered surveys and randomized sampling. This work employed partial least squares structural equation modeling (PLS-SEM) to test the proposed model empirically.

In line with the SOR Theory, this work found UGCs that induce positive emotions and connection to the users motivate VI rather than UGCs that are predominantly factual. Furthermore, UGCs are considered reliable, authentic and less biased than brand-generated content. The findings of this work contribute to the theoretical understanding of UGC to VI in a destination.

This work proposes that destination marketers prioritize UGC that evokes positive emotions and connections with users, as it is more effective in encouraging VI. Strategies such as incentivizing content creators, improving online presence and engaging influencers can maximize UGC. Enhancing online traffic quality, visibility and interaction and implementing content policies are crucial for UGC's effectiveness. Marketers should align destination products with tourists' interests and collaborate with influencers for affiliate marketing to increase tourist-generated UGC. Furthermore, improved connectivity encourages UGCs about the destination.

In tourism marketing, UGC has become a valuable information source for tourists in making informed travel decisions. UGC is a tourist-generated content that offers factual information and authentic experiences through images, videos or text posted through social media platforms. UGC is considered more reputable than travel firms and the mainstream media as an information source. Due to the limited works on UGC in the literature, the influence of UGC on tourists' VIs has remained unexplored at the time of writing. This work bridges this gap by empirically examining the impact of UGC on Gen Z tourists' VI guided by the SOR theory.

The purpose of this paper is to analyze the relationship between tourists' user‐generated content on the web and destination branding, as well as to discuss the online strategies used by destination management organizations.

The research adopts an exploratory study of social media sites and destination brands, relying on qualitative research methods, content analysis and field research.

Tourists are largely contributing to destination image formation, while avoiding the use of the formal elements of the brands. The most popular strategies used by destination management organizations exhibit some crucial weaknesses. However, a strategy based on analytics brings new opportunities for destination branding.

The study provides an innovative analysis of tourist‐created content and its impact on destination branding and presents a theoretical model of generic web‐based strategies.

The aim of the paper is to develop a conceptual model of the process by means of which the induced tourism image of a destination is created. The model focuses on the role tourism agents' relational networks play in this process and particularly on the effects of the links with external actors – i.e. tour‐operators – on the destination's induced image.

Based on Gartner's definition of image formation agents, it is assumed that there are tourism agents that use the tourism image as a pull factor to influence the buying behaviour of potential visitors. Basically, these agents are: internal actors, located within a particular tourism destination, and external agents – i.e. tour‐operators – which are not normally associated with any particular destination, but have stakes in the travel decision process of potential visitors. In parallel, it is assumed that the tourism destination is a web of relational networks where the agents are connected by means of collaborative links that facilitate the supply of a tourist product or experience to the visitors.

In this paper two potential gaps in the induced tourism destination image formation process are found, and that the position of relevant actors in the network and the structure of the network are two determinant factors of the emergence – or inhibition – of these gaps. It is also suggested that these gaps and the lack of collaborative links among internal and external actors would affect the coherence of the supplied tourist products and the satisfaction with the tourist experience.

The relevance of the paper lies in a new approach to the induced tourism image formation process focusing on the destination's relational network and, in particular, the network of relations with external agents (i.e. tour‐operators).

Tourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in product/service planning, marketing communication and attracting and retaining tourists. This research employs Hofstede's cultural dimensions theory to analyse the variations in destination image perceptions of Chinese-speaking and English-speaking tourists to Xiamen, a prominent tourist attraction in China.

The evaluation utilizes a two-stage approach, incorporating LDA and BERT-BILSTM models. By leveraging text mining, sentiment analysis and t-tests, this research investigates the variations in tourists' perceptions of Xiamen across different cultures.

The results reveal that cultural disparities significantly impact tourists' perceived image of Xiamen, particularly regarding their preferences for renowned tourist destinations and the factors influencing their travel experience.

This research pioneers applying natural language processing methods and machine learning techniques to affirm the substantial differences in the perceptions of tourist destinations among Chinese-speaking and English-speaking tourists based on Hofstede's cultural theory. The findings furnish theoretical insights for destination marketing organizations to target diverse cultural tourists through precise marketing strategies and illuminate the practical application of Hofstede's cultural theory in tourism and hospitality.

This study aims to examine the relationship between perceived risk and tourists’ trust. It also investigates the role of perceived value as a mediating variable on the link between perceived risk and trust. Moreover, the moderating role of religiosity on the link between perceived value and trust has also been highlighted.

The research population is all tourists who have visited West Sumatra Indonesia in the past two years. This research used a survey method using questionnaires and used purposive sampling as the sampling method. It collected 400 responses and after some preliminary tests, 352 usable responses have been analyzed. The authors used a covariance-based structural equation model using AMOS 24 as the data analysis tool.

This quantitative research found that perceived risk dimensions (health, environmental and financial risk) have significant impacts on perceived value. Perceived risk dimensions also have significant effects on trust except for health risk. It also found that perceived value has a significant impact on trust and finally, religiosity which has a significant moderating impact on the relationship between perceived value and trust.

This study is only one country study; hence, it has limited finding generalization. It needs to be expanded to other countries such as Southeast Asia countries. It only used three antecedents of trust, therefore, for future research; it might be extended to other antecedents such as cultural value, tourist efficacy and also some consequences of trust such as revisit intention and customer involvement. Finally, this is a cross-sectional study; hence, for future research, it might be expanded to a longitudinal study where the results are more generalized.

Trust will lead to tourist loyalty. Therefore, to establish trust, the managers need to provide the best services with pay attention to the tourist perceived risk. Moreover, it found that perceived risks will lead to tourists’ perceived value. Accordingly, to increase the tourist perceived value, the tourist destination managers have to minimize risk or uncertainty in the tourist destination such as environmental and health risk in the tourist destination. Finally, religiosity will strengthen the tourist trust, hence; the managers can attract and serve high religiosity tourists with Halal standard products and services.

This study has examined the relationship between perceived risk dimensions and perceived value which is not investigated in the previous studies. It also examined the mediating roles of perceived value on the link between perceived risk dimensions and trust. These mediating roles have not been addressed yet previously. Finally, it has also revealed a significant moderating effect of religiosity on the link between perceived value and trust which is neglected previously.

The purpose of this paper is to examine, through a microeconomic analysis, the extent to which trip characteristics influence tourism expenditure in 14 emerging urban-cultural cities in Andalusia (Spain).

This analysis was carried out using an ordinary least squares method, which measures influence on tourism expenditure based on the trip characteristics of tourists visiting emerging urban-cultural cities. For this, the authors used 3,030 surveys conducted on tourists who, in 2013, visited 14 emerging urban-cultural cities in Andalusia (Spain).

It was confirmed that certain trip characteristics – type of accommodation, length of stay, trip planning and internet use – determine tourism expenditure in these destinations. The findings provide stakeholders in these destinations with information for the implementation of policies aiming to increase revenue in destinations where tourism development levels are still in their infancy and where, therefore, there are many unexploited opportunities.

First, this study identifies those trip characteristics which influence tourist expenditure in emerging urban tourist destinations. These destinations, to date, had not been previously analysed in expenditure segmentation studies. Second, aside from the factors traditionally analysed in scientific literature, other trip-specific variables were considered; these relate to the means by which tourists familiarise themselves with their destination and the way in which they plan their trip (use of the internet), as the rise of new technologies has radically changed tourism.