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  • Author: Žarko Popović x
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Local economic environment is characterised by a range of economic, social, political and demographic parameters, based on which we can perform its analysis. Heterogeneity of relevant characteristics of the local economic environment imposes multiple criteria analysis as one of the suitable tools for the evaluation. Assessment of local economic environment often falls within the scope of group decision-making, as it is usually performed on the basis of an analysis of preferences of economic subjects or relevant experts on the issue of the economic environment at the local level. Regardless of whether it is based on economic subjects or expert group, in order to form a multi-criteria model, it is necessary to generate preferences of individuals into a single weight coefficient, which shows groups’ preference on the importance of each criterion. The subject of this paper is determination of weight coefficients in the multi-criteria model for the analysis of local economic development based on the preferences from a group of experts, by applying adequate statistical tools, and then by ranking local governments according to the quality of business environment perceived by the expert group.In addition to descriptive statistics and testing the significance of differences, in the paper is applied multi-criteria method Simple Additive Weights - SAW.


Measurement and evaluation of the bank’s operations efficiency requires analytical techniques that provide data beyond those available from the standard analysis of financial statements. The Data Envelopment Analysis (DEA) is a mathematical programming technique that offers valuable insights in finding inefficient banks taking into account the scope of the services and resources used to provide these banking services. The results of the DEA analysis can provide significant information to the bank’s management that can supplement the information obtained using traditional techniques for assessing efficiency. The assessment of banks’ efficiency in the Republic of Serbia is of particular importance due to intense competition and implemented banking reforms. Therefore, in this paper DEA analysis will be applied for the examination and assessment of the efficiency of the operations of Serbian banks during the period 2014-2016. The analysis will show which of the banks operates efficiently, where the efficiency of the banks is not at a satisfactory level, as well as the potential reasons for inefficiency.


Background: Sports and recreational tourism are forms of tourism that imply active involvement of tourists in various sports activities during their vacation, and it can be said that the main motive of such a vacation is a sport.

Objectives: This research aimed to determine the relationship between sports and recreational activities and tourist satisfaction based on the questionnaire related to the behaviour and satisfaction of tourists during their stay in Montenegro.

Methods/Approach: Regression analysis has been conducted in order to assess the interaction between sport-recreational activities and previous experience in Montenegro, and their effect on tourist revisit intention.

Results: Empirical results demonstrate the influence of sports and recreational services on tourist satisfaction measured by tourists’ revisit intentions. Distinguishing between sports, and health, spa and wellness facilities and services, the findings indicate that health, spa, and wellness facilities and services have a higher impact on revisit intention than sports activities. In addition, the interaction effect between different sports and recreational activities and previous experience in Montenegro did not provide a more amplified effect on tourist satisfaction.

Conclusions: Establishing closer links between workers who provide sports services and those providing other tourist services is one of the main challenges in the future of the development of sports tourism in Montenegro, as one of the most critical aspects that can provide tourist satisfaction. The data study can be used for more efficient and effective decision making and strategy development of sports and recreational activities in the tourism industry.


In this paper we analyze the influence of users’ density distribution in one cell of CDMA mobile network (ie adjusted power control on the forward link) on base station emission power. This influence is analyzed for different circles radii around base station within which same emission power is generated for all mobile users, and for different values of propagation loss coefficient. It is proved that emission power in this cell must be increased comparing to the similar cell, which uses complete power control. The power increase is greater when greater number of users are situated near base station, and for greater values of propagation loss coefficient. The results are presented, illustrated by numerical examples and verified by simulation for three users’ density distributions: uniform, decreasing and increasing density from the base station to the cell rim. The simulation process, which is based on random traffic process, is presented briefly.