One of the key elements for the development of an agro-tourism destination can be specific gastronomy. In this context, research and understanding of the motivation of tourists who visit those destinations can influence the development of the concept of their sustainability, which was the goal of this research. The research was conducted during 2022 on a total sample of 607 respondents who stayed in agro-tourism destinations in the Republic of Serbia. The paper presents motivational factors that potentially influence the frequency of gastronomic tourists to try local gastronomic specialties and food in agro-tourism destinations. The results indicate that the cultural experience dimension, excitement dimension, interpersonal, relation dimension, and sensory appeal dimension show a significant influence on the visitation of agro-tourism destinations by gastronomic tourists, while the health concern dimension factor does not show statistical significance. The results undoubtedly indicate that certain socio-demographic characteristics of gastro-tourists have an impact on the development of an agro-tourism destination, in the direction that the more educated as well as women have more positive attitudes towards the influence of motivational factors on the development of an agro-tourism destination.
This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. The research was conducted in Serbia and Hungary, using structural models to assess and analyze direct and indirect effects. The results show that AI personalization significantly contributes to guest satisfaction, with mediating variables such as trust in AI systems and technological experience playing a key role. A comparative analysis highlights differences between Hungary, a member of the European Union, and Serbia, a country in transition, shedding light on specific regulatory frameworks and cultural preferences in these countries.
Nowadays, we are witnessing the ever-growing popularity of spa centres of which there are more than fifty active spas with thermal mineral springs and different capacities for tourists in the Republic of Serbia. Seasonality has a significant impact on the profitability of these destinations, even on sustainability, which is a decisive factor for the increasing number of visitors. The focus of the paper are the most notable Serbian spa centres, i.e. Vrnjačka Banja, Sokobanja, and Banja Koviljača. The Gini index and the Lorenz curve were used to assess the seasonality and imbalance in the monthly distribution of the number of tourists' overnight stays in the mentioned destinations for the period 2019-2023 influenced by COVID-19 virus pandemic. During this period, the institutional causes changed and had a significant influence on all aspects of tourism, including the seasonality. To reduce the influence of seasonality and increase the sustainability of selected resorts, it is important to combine different types of tourism, expand the services offered, and even create links to other nearest tourist centres (e.g. mountain centres).