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.

The aim of this paper is to identify the factors that influence employees’ attitudes and perceptions of corporate social responsibilities (CSR), as well as to discuss if there are some significant differences in the application of CSR in the analyzed Western Balkan countries, especially in terms of public and private sector affiliation. This is the first academic survey which examined the employees’ attitudes and perceptions of CSR integrally in five Western Balkan countries. Multivariate factor analysis was applied to data collected from 2410 employees in the analyzed countries. In order to test additionally the results obtained by factor analysis, the Structural Equation Model (SEM) was applied. The results of the research, obtained by multivariate factor analysis and SEM model, show that the largest percentage of employees believe that the CSR concept enables the generating of new values and success of the company, as well as welfare for the whole society. Additionally, companies are increasingly recognizing the strategic importance of CSR for the sustainability of their business, as well as the importance of development of sustainable practices in the environment. Based on the results of the research, the authors found out that there were significant differences in the understanding and acceptance of CSR in the analyzed countries, while there were significantly smaller differences between the private and public sectors. The results of the research may serve as a guide for managers when making decisions about implementing the strategy and future activities regarding CSR.

Many researchers have shown that capital markets in CEE countries are weakly efficient in terms of calendar anomalies. The goal of this paper is to investigate whether the capital market in Montenegro is efficient regarding some of these anomalies. The main characteristics of the Montenegrin capital market are briefly explained. The empirical analysis is done on the daily values data of stock market index NEX20. An investigation of the January effect is implemented with the graphical representation of the rate of return for all the months of the seven-year period and by estimation of a regression model of return on index NEX20. The intercept represents the value of the return in January and it is insignificant. The holiday effect, tested by graphical representation for the Statehood Day data, was not present in the whole period. To investigate the turn-of-the-month effect we employed the graphical representation and regression model of the return rate on index NEX20 for the last week of every month and for the rest of the month. The value of the intercept, representing return for the last week of the month, is significant. The absence of some tested calendar anomalies suggests that the Montenegrin capital market is becoming more efficient

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