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 circular economic system concentrates on closing the loop for resource flows by imitating the function of natural ecosystems in order to achieve sustainability. The aim of the paper is to introduce a comprehensive approach to assessing countries' performance in municipal waste management and utilization. The change in the efficiency of circular economy in the period from 2016 to 2019 has been analyzed using Data Envelopment Analysis model. Furthermore, Tobit regression model examined the influence of macroeconomic factors on achieved efficiency scores. Results indicate that the performance of the circular economy has an admirable level of efficiency level, as the average score is above 70%. Belgium, Lithuania, Poland and Sweden obtained the highest efficiency levels, while Greece and Cyprus experienced the lowest efficiency scores. The positive observation is that countries efficiency mainly has an ascending trend. Furthermore, the second stage analysis showed that resource productivity, private investments, jobs and gross value added related to the circular economy sector and GDP per capita significantly influence the efficiency of circular economy performance.

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.

Background: Widely used in efficiency analysis, data envelopment analysis (DEA) found its use in country efficiency measurement concerning the achievement of desired values of macroeconomic indicators, most often the goals from the category of economic growth. Purpose: The objective of the paper is to examine the possibility of DEA application in sustainable development research. Methodology: The analysis was conducted using a non-oriented DEA model with variable return-to-scale in a group of 26 EU countries and Serbia, as a membership candidate. Four variables were used as input variables: inflation rate, unemployment rate, poverty rate and ecological footprint per capita. Three variables were used on the outputs side: inequality-adjusted human development index, GDP per capita and ecological deficit or reserve per capita. The annual data was collected for the time period of eight years, form 2010 until 2017. Findings: Results show that Finland is the only country efficient throughout the entire period. Average efficiency close to maximum was achieved by the Netherlands. Significant efficiency was achieved by Luxembourg, Germany and Sweden among countries that were EU members before 1995. Among other EU countries, Slovenia and Hungary achieved efficiency on a nearly maximum level. Also, efficient in more than half of the observed years were Cyprus and Romania. The most inefficient countries were the three Baltic countries: Lithuania, Latvia, and Estonia. Among the EU member countries before 1995, Italy and Portugal were the most inefficient. Concerning EU candidate Serbia, the efficiency achieved was generally close to average. Limitations: The performed analysis can answer the question of which country is the most efficient on the way to sustainability. However, the DEA method cannot show whether a country is developing absolutely sustainably or unsustainably, because DEA is a relative method and can only measure efficiency compared to the other units.

Micro, small and medium business units contribute to development of agribusiness only if adequate financial resources for founding and development are given. This paper analyzes the possibilities of financing micro, small and medium legal entities in agribusiness in Serbia, compared to large enterprises. Empirical research included a survey comprising 119 agribusiness units, grouped into three categories dependent on their size. The aim was to confirm that there are substantial differences between units of different sizes, concerning possibilities of accessing bank loans and concerning the process of evaluation of conditions for credit approval. Also, aim was to determine differences between the uses of necessary key economic measures in agribusiness. Results showed significant differences between each group of business units for the majority of the observed parameters. Consequently the small and medium-sized enterprises (SMEs) sector and especially entrepreneurs and farmers (micro units) only have limited access to financial resources and more financing costs compared to large enterprises.

This document presents an attempt to determine guidelines for the implementation of the blockchain projects within smart city (SC) information systems (IS) to improve their security and sustainability through harnessing benefits of blockchain technology. Aldo available scientific sources are scarce a review of contemporary scientific literature and other available sources attempts to determine weaknesses of current IS within SC and to compare their vs. benefits of the blockchain technology in order to show that blockchain technology can offer potential solution to weaknesses and improve SC IS and therefore the sustainability of the SC itself. However, this research only shows the need for such implementations and discusses what further research is required to provide a framework for the implementation of blockchain technology in smart cities.