Jasmina Gligorijević

The study focuses on understanding the factors that influence local residents’ support for tourism events, with particular attention given to the differences between Serbia’s two largest urban centers, Belgrade and Novi Sad. The Theory of Planned Behavior (TPB) model was extended by including the construct of community identification in order to capture the affective aspects of social engagement. Data were collected using a combination of online and field surveys, with a total sample of 968 respondents evenly distributed between the two cities. In addition to traditional statistical techniques, machine learning models, Artificial Neural Networks (ANN) and XGBoost, were employed to further validate the structure and significance of the predictors. The additional classification analysis showed that the models were able to successfully differentiate respondents from Belgrade and Novi Sad based on their responses, confirming the existence of structural differences in attitudes and perceptions. The findings suggest that attitude, subjective norms, perceived behavioral control, and community identification are significant predictors of support for tourism events, although their relative importance varies depending on the local context. The research highlights the importance of empowering local communities and fostering a sense of personal involvement as key elements in strengthening the destination’s image and ensuring the sustainable development of tourism events.

Digital Andon enables real-time detection, classification, and escalation of deviations, generating a structured dataset of events (start/end time, root cause, response time, ownership, corrective actions) as a foundation for rapid problem resolution and continuous improvement. The paper proposes a conceptual architecture (line input → application layer/API → database → dashboards and KPIs) and a minimal data model required for monitoring and decision-making. Economic effects are presented through measurable cost drivers (€/minute of downtime, cost of scrap/rework, impact on delivery performance) and evaluated using ROI and payback period. To align with the sustainability theme, an extended KPI set is introduced, including kWh per good unit, consumption indicators during downtime, and (optionally) CO₂ per good unit, with clearly defined assumptions. In conclusion, the paper provides an integrated framework demonstrating how Digital Andon improves operational performance while simultaneously reducing resource consumption, thereby contributing to sustainable industrial development and supporting the transition toward renewable energy sources, depending on their intended application.

Organic agricultural production as a holistic approach that aims to promote food production without the use of synthetic chemical fertilizers, pesticides, genetically modified organisms and the system of food production and use takes place in accordance with the principles of preserving biodiversity, soil and ecosystems. However, this system of agricultural production incurs significantly higher costs, and the price of organic agricultural products comes also at a high cost. In addition to the price, one of the most important aspects of acceptance of organic agricultural products by consumers is environmental awareness. The aim of this paper is to analyze the potential for the improvement of digital marketing channels for the promotion of organic agricultural products. The factor analysis applied in this paper has shown that advertising through digital marketing channels has the potential to boost sales, according to producers of organic agricultural products in the Republic of Serbia.

Today, in times of general globalization of business, efficient business optimization measures are necessary, as well as innovative ways of organizing supply chains and transport systems, which are based on the exploitation of invariant and adaptable possibilities, i.e. on the efficient exploitation of information system flexibile modules, with a high degree of automation of all activities and comprehensive implementation of ICT. By the way, one of the most important links in the process of business or production supply chains for companies in the textile and clothing industry is the transport of materials and goods, which with its adequate technological or organizational solutions enables cost reduction and increase in productivity and business efficiency, thereby strengthening the competitiveness of the company. These are precisely the elements of innovative logistics of transport systems that, as key components in the supply chain organize, regulate and monitor the process of transport (goods and materials) and adequate storage, but also optimize the control of process stocks, finished products and raw materials, with minimal costs and acceptable impact on the environment, which enables an increase in the effectiveness and economic efficiency of all technical and organizational systems. Based on the current global state of the clothing industry, as well as trends in business, the future development of supply chains and logistics of transport (of all kinds) can be anticipated as a diffusion spillover in the field of artificial intelligence and virtual show or quantum computing, with self-regulation and taking appropriate actions, with a direct prediction of anomalies in logistics costs and performance, as well as in the needs of artificial intelligence and automation of some parts or complete areas of business processes, whereby as a result, the obvious need for quantitative-qualitative strengthening and increasing the capabilities of human resources will be imposed.

In modern conditions, human society is faced with numerous environmental problems, which call for necessary action in order to ensure sustainable development. In other words, solutions to environmental problems are urgently needed if we wish for future generations to have the same quantity and quality of resources that the current generations possess. Countries around the world, and especially EU member states, place a strong focus on environmental issues, and as one of the basic instruments in resolving them, they use environmental taxes. These taxes are intended to make polluters lower their pollution levels in order to reduce their tax burden. Among other things, they encourage polluters to invest in ecological innovations, all with the aim of reducing the tax burden and increasing the quality of the environment in the future. The aim of this paper is to establish how strong the influence of environmental taxation is on the development of ecological innovations. For this reason, correlation and regression analysis were used on a sample of EU member states. The obtained results show that the influence of these phenomena, i.e., variables, is positive and strong and that with the growth of income from environmental taxes per capita by 1%, the index of ecological innovations increases by 0.663 with a significance level of p=0.000.

The aim of this paper is to carry out an analysis of the impact of the monetary and credit policy on the real economic flows in the Republic of Serbia. In order to answer to the given goal, a correlation and regression analysis was performed for the period from 2004 to 2020. The results of this analysis have shown that there is a strong influence of the monetary and credit policy on the gross domestic product of the Republic of Serbia. Based on the results of the conducted regression analysis, it was found that in the Republic of Serbia, with the growth of the monetary aggregate M2 by 1%, gross domestic product grew by 0.691%. It was also found that the growth of approved long-term loans by 1% had a positive impact on the growth of gross domestic product by 0.425%. These values point to the great importance of the monetary and credit policy on economic growth in the Republic of Serbia and the need to attach great importance to monetary policy in the future period.