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.

Overall satisfaction is an emotional response to a perceived discrepancy between expectations and perceptions. Overall satisfaction is more of a holistic affective construct after a service delivery experience, while transaction-specific satisfaction refers to attribute-based cognitive evaluation of service encounters. The authors investigated which particular attributes of public transport service drive satisfaction of customers, contributing to public transport becoming more sustainable. The questionnaire used in this research was constructed based on Benchmarking in European Service of Public Transport (BEST). The respondents belonged to the group of younger users of public transport services. Correlation analysis, factor analysis, and regression analysis were used in data processing and interpretation. Results obtained from the research show that young people emphasize the importance of on-line information, comfort, and prices of the public transportation. This paper not only provides insight into expectations of public transport users, but also investigated the potential decrease in CO₂ and PM emissions when private vehicles are substituted with the public transport.

The selection and rational use of mechanization significantly affects the cost of agricultural products. To achieve the best financial effects, it is necessary to optimize the use of existing machine parks. The authors suggest a decision tree for deciding whether to ‘innovate or not’. The aim of the research is to define an algorithm that determines whether or not the land is arable, and in this way to help the owner of the family farm in the planning of working hours for agricultural machines, i.e., managing the machine park. The lack of plans, which stems from the lack of accurate data on the appropriate conditions of cultivation, leads to inappropriate use of time and the capacity of the machine park. The decision process is split into four compound variables: biological conditions, economic environment, technological conditions, and expertise and workmanship quality. Linguistic values of these variables are modeled with intuitionistic fuzzy sets, allowing for imprecision in data as well as experts’ hesitation.