This study investigates the perceptions of employees in the hotel industry of the Republic of Serbia regarding the acceptance and importance of artificial intelligence (AI). Through a modified UTAUT model and the application of structural equation analysis (SEM), we investigated the key factors shaping AI acceptance. Research results show that behavioral intention and habit show a significant positive impact on AI usage behavior, while facilitating conditions have a limited but measurable impact on behavioral intention. Other factors, including social influence, hedonic motivation, performance expectancy, and effort expectancy, have minimal influence on the examined variables. The analysis reveals the crucial mediating role of behavioral intention, effectively bridging the gap between various predictors and AI usage behavior, thereby highlighting its significance in the broader context of technology adoption in the hotel industry. The primary goal of the study, which closes significant research gaps, as well as the manner in which it uses a specific model and statistical analysis to accomplish this goal, shows how innovative the work is. This method not only broadens the field’s understanding but also offers valuable insights for shaping sustainable development practices in the hospitality sector in the Republic of Serbia.

Socio-economic data of the villages belonging to the municipality Vladičin Han were analyzed in the paper. This municipality is part of Pčinjski district and is located in southeastern Serbia. The villages have typical rural character and are located in mountain area, except Priboj, which is dislocated in the 19th century. The lowest is Priboj (350-460 m) and the highest one is Kukavica (1,170-1,230 m). The subject of this paper is also the settlements of Lebet, Rdovo and Kostomlatica. The data obtained are the result of processing database retrieved from the Statistical Office of the Republic of Serbia, related to the period 1971-2011. At the beginning of this period, the village with the largest population was Priboj (359 inhabitants). According to the last census (in year 2011), there lived 296 inhabitants with average age of 44. The settlement with the smallest population, according to the latest census, is Kostomlatica village. There live 10 inhabitants with an average age of 76.3 years. Other demographic indicators point to the extinction of the villages in this region. Depopulation is the problem to which state does not pay enough attention, especially in mountainous and border areas. [Projekat Ministarstva nauke Republike Srbije, br. 47007]

This paper investigates how governance frameworks shape sustainable tourism outcomes in protected areas by comparing Tara National Park (Serbia) and Triglav National Park (Slovenia). Both parks, established in 1981 and classified under IUCN Category II, exhibit rich biodiversity and mountainous terrain but differ markedly in governance structures, institutional integration, and local community engagement. Using a qualitative, indicator-based methodology, this research evaluates ecological, economic, and social dimensions of sustainability. The findings reveal that Triglav NP demonstrates higher levels of participatory governance, tourism integration, and educational outreach, while Tara NP maintains stricter ecological protection with less inclusive management. Triglav’s zoning model, community council, and economic alignment with regional development policies contribute to stronger sustainability outcomes. Conversely, Tara NP’s centralized governance and infrastructural gaps constrain its potential despite its significant conservation value. This study highlights the importance of adaptive, inclusive governance in achieving the Sustainable Development Goals (SDGs) within protected areas. It concludes that hybrid approaches, combining legal rigor with participatory flexibility, can foster resilience and sustainability in ecologically sensitive regions.

Achieving the targets and indicators outlined in Sustainable Development Goal 4 (SDG 4) presents significant global challenges, particularly in countries like Serbia, where diverse socio-economic contexts and policy planning shape educational outcomes. SDG4 focuses on providing inclusive and fair access to quality education for everyone and encourages lifelong learning opportunities for people of all ages. It comprises ten specific targets. This paper focuses on the complexities and challenges associated with measuring five of these targets, which were not analyzed in Serbia’s official report on SDGs. By using Serbia as a case study, the paper systematically examines national policies, educational data, and assessment frameworks, identifying persistent barriers that impede progress toward the SDG4 objectives. A comparative analysis was conducted to better understand Serbia’s progress in achieving these targets. This analysis compares Serbia’s performance with that of neighboring countries in the region as well as with more developed nations. Methodological limitations in data collection and monitoring further complicate efforts to accurately assess SDG 4 indicators. Through specific examples of non-measurable indicators, the paper illustrates these challenges and explores potential strategies for improving measurement accuracy and policy effectiveness. By evaluating Serbia’s experience, this study offers insights that are valuable for finding ways to start measuring targets that currently lack data, considering the close deadline for achieving the goals.

The most cited definition of sustainable development was created more than three decades ago, by the Brundtland Commission. The problem that was defined then is equally present today. There are various definitions of ‘sustainable development’, and thus, in the past, different countries have made different frameworks. However, the current framework has been presented by the 2030 Agenda and specifically divided into 17 goals, defined by the United Nations. It is not the same starting point for countries with developed and underdeveloped economies. This paper highlights the economic and educational structure of the population as a potential for economic and social development, but also for the Gross Value Added. These are the main parameters that were analysed to extract the most sensitive areas. The analysed data refer to the 25 administrative areas (NSTJ 3) in Serbia. The most endangered areas that should be emphasized in further research and action plans are distinguished. The results of the paper should serve as a starting point for further and more in-depth research, as well as for creating projects for the more balanced regional development of Serbia.

The study provides a comprehensive data analysis on total fertility rates, birth rates, life expectancy, percentage share of over 65 year olds, infant mortality rates and adolescent-specific fertility rates, in Russia and Serbia, two decades after the fall of communism and compares it with general values in Europe. The main problems in the demography of Russia and Serbia are connected with economic process, caused by economy transition, from planned economy to the free market, as one of the consequences of the fall. Finally, the authors concluded that the Russian demographic situation is characterized by depopulation processes just like in Serbia.