Considering the benefits of the organic production system, it is recognized as one of the main drivers of future economic development. However, the imbalance between demand and supply at the local market level represents one of the serious obstacles that prevents its future growth. Therefore, this article examines the key factors related to the main elements of the offer that have the strongest impact on consumer preferences and acceptance of organic food products. In that sense, organic product, price, distribution channel, and promotion are considered the main elements of the offer and are analyzed in this paper from the consumer preferences perspective. Further, this article provides insight into some of the sensory properties of the offer that are important to consumers. Finally, it gives recommendations for optimization of the offer on the organic food market based on the analysis of the influence of each of those elements (product, price, distribution, and promotion) on consumer acceptance of organic products and making purchasing decisions. The data were collected using a questionnaire, and analyzed using the structural equation model (SEM). The results revealed that price and promotion have the strongest impact on consumer acceptance and buying decisions. Further analysis revealed that attitudes towards organic food products, price/quality ratio, distribution barriers, and modern media as a promotion instrument are the factors that have the most significant impact on consumer perception and attitudes towards the available market offer. These findings can help producers and other decision makers to better understand what creates added value of the organic food products in consumers’ mind and therefore make an offer that is in line with their expectations and preferences, which is recognized as one of the main prerequisites for the acceptance and purchase of organic food products.

Land use change in all river basins leads to changes in hydrologic response, soil erosion, and sediment dynamics characteristics. Those changes are often viewed as the main cause of accelerated erosion rates. We studied the impact of land use changes on soil erosion processes in one of the watersheds in Montenegro: the Miocki Potok, using this watershed as a pilot river basin for this area. We simulated responses of soil erosion processes by using a process-oriented soil erosion Intensity of Erosion and Outflow (IntErO) model, with different settings of land use for the years 1970, 1980, 1990, 2000, 2010, and 2020. The model provides fast, effective, and affordable insight into the effects of land use change on soil erosion processes. Testing of the applied procedures was important for the further establishment of watershed management methodologies at the national level, for the other 300 river basins of Montenegro. For the current state of land use, calculated peak discharge for the Miocki Potok was 364 m³ s⁻¹ (2020)–372 m³ s⁻¹ (1970) for the incidence of 100 years, and there is a possibility for large flood waves to appear in the studied basin. Real soil losses, G_year, were calculated at 13680 m³ year⁻¹ (2020) and specific 333 m³ km⁻² year⁻¹ (2020). A Z coefficient value of 0.439 (2020) indicated that the river basin belongs to destruction category III. The strength of the erosion process was medium, and according to the erosion type, it was mixed erosion. According to our analysis, the land use changes in the last 50 years influenced a decrease in the soil erosion intensity for 14% in the Miocki Potok River Basin. Further studies should be focused on the detailed analysis of the land use changes trends with the other river basins at the national level, closely following responses of soil erosion to the changed land use structure, and effects of plant-and-soil interaction on soil erosion and sediment dynamics.

This paper aims to examine attitudes of hospitality and tourism students, as future professionals, towards willingness to implement service robots. The study proposes a new theoretical conceptual model that includes new constructs and items, differentiating it from the others. The model was formed based on the extensive literature review and the interview with an eight-member focus group (hotel managers and academic researchers). Data collection was performed in two stages, pilot research based on 82 respondents and the main study, with the final number of respondents being 236. The initial results of the exploratory factor analysis were further tested using the confirmatory factor analysis. After the exclusion of several items due to low factor loadings and in order to improve model validity, analyses further suggested a nine-dimensional solution with 45 items. The study findings reveal a positive relationship between seven constructs and students’ willingness to implement service robots, with the expected business outcome being the most influencing one. On the other hand, positive relation was not found for empathy and social influence constructs. Theoretical contributions and practical implications are discussed in the paper. In conclusion, study limitations and future research suggestions are provided.

The concept of sustainable tourism development is imposed as an inevitable way of improving the tourism industry as a whole. This study tries to offer an adequate inclusion of sustainable factors in overall tourism development efficiency results. Through the detection and estimation of potential sources of efficiency, the paper will do the efficiency benchmarking of tourism services on the level of countries as destinations. In order to complete the task, data collection was focused on 27 EU countries and five Western Balkan countries over the period from 2011 to 2017. This paper utilized an output-oriented data envelopment analysis (DEA) procedure to estimate efficiency scores for each country, and a panel data Tobit regression model to emphasize the (in)significance of each individual tourism development indicator. The results in the first stage show relatively high-efficiency scores, particularly in the case of EU 15 countries and with room for improvement in the case of the others. The second stage reveals positive and significant effects on relative tourism efficiency by the sustainability of tourism development, the share of GDP, tourist arrivals and inbound receipts, as well as visa requirements and rate of use. Policymakers should gradually take control of the mentioned variables to protect the interests of all relevant stakeholders involved in the tourism development process.

The aim of this paper was to analyze the main factors that affect green consumers’ choice regarding the purchase of organic agriculture products. The data collected through a survey of 559 green consumers were analyzed using explanatory factor analysis, the Relative Importance Index, and logistic regression. The results point out eleven main factors related to the offerings on the organic agriculture market that predominantly drive green consumers’ purchasing decisions. The Relative Importance Index identified health benefits that stem from a specific way of production as the main purchasing motive. This was also confirmed by the results of logistic regression, which showed that a respondent who buys organic agricultural products on a daily basis is approximately 71.5% less likely to disagree with the claim that organic products are healthier than non-organic, compared to a consumer who purchases organic products several times a week or month. However, as these benefits cannot be empirically confirmed, green consumers look for official labels on the product packaging. In order to assure the product quality, more than half of them find out very important information about producers: whether they have a product quality certificate (69.5%), how many years they are engaged in production (56.2%), and whether they have specific product packaging (54.9%). The Relative Importance Index also revealed that the main purchasing barriers that consumers face are scarce offerings and an insufficient development of the distribution channel, which were ranked in first and second place. The price as a barrier is of less importance. About 30.8% of the respondents are willing to pay up to 20% higher prices for organic food compared to conventional food, while 39.4% of them would pay even up to 40% higher prices. Based on the given results, there are clear suggestions for creating a sustainable marketing strategy for organic agriculture products as the main prerequisite for an increase of healthy food choices and fostering the future development of organic agriculture businesses at the local and global levels.

Landslides are a worldwide occurring hazard that can produce economic impact and even fatalities. The collection and monitoring of data regarding active landslides are important for predicting future landslides in that region, and is critical to minimize the losses caused. In the expanding metropolitan area of Cluj-Napoca, Romania, drastic changes of land use and increasement of construction zones represent a current evolution issue. The urban sprawl phenomenon imposed the expansion of the city limits and outside the old built-up area, and due to the hilly terrain and geomorphology, natural hazards such as landslides and erosion processes are susceptible to appearance or reactivation. The study incorporates interdisciplinary research composed of evaluation of a landslide susceptible hotspot located in an area of interest to the municipality by means of geodetic and topographic precise measurements, combined with the use of unmanned aerial vehicles (UAV) monitoring of surface movement and GIS spatial analysis. The data obtained in a span of over two years reveal that the investigated slope is subjected to a shallow active landslide of a few centimeters per year, and based on the 64 individual placed landmarks the highest displacement value was 67 mm. Through geomatic tools the exchange rate of the slope surface was evaluated with comprehensive volume calculations, such as displacement, erosion, and accumulation that illustrate a volume of material displaced of 107.2 m³ and the accumulated one of 55.7 m³. The results provide valuable insight into the complex landslide and erosion dynamics that are crucial when predicting future movements and prevention measures.