In order for a tourist to visit a location, it has to be attractive. Destination attractiveness can be examined in several ways. One of them is offered by this study, which has examined destination attractiveness based on resources available in certain rural settlements. Based on a case study carried out in the Brčko District of Bosnia and Herzegovina (Brčko District), a model will be developed to test for rural tourism destination attractiveness. Examination of tourist destination attractiveness in the area of the Brčko District was conducted with a decision model based on the Decision EXpert method and expert decision-making. For that purpose, six rural settlements in the area of the Brčko District were examined with respect to destination attractiveness. Results obtained using this model showed that rural settlement Bijela has a “very good” attractiveness, rural settlements Brezik, Brezovo Polje, and Gornji Zovik have “good” attractiveness, while rural settlements Ražljevo and Maoča have “middle” attractiveness. The results obtained by applying this model have shown the need for improvement of touristic offer in order to make it more attractive. In order to improve attractiveness of a tourist destination, we need to strengthen human potential in this area and improve tourist infrastructure and make more effort to preserve the environment. The application of the used model has given good results in examination of tourist destination attractiveness and it should be applied for other branches of tourism in the future studies.

In the turbulent environment which is characterized by constant market changes and the development of informational technologies, supply chain is becoming the key instrument for competitive advantage. To survive on the market and be competitive, enterprises have to share and distribute knowledge and information. Information sharing affects the fundamental decisions of the supply chain management. Information sharing with partners is a precondition for the exchange of knowledge needed for business. Most important partners for every enterprise are their suppliers and buyers. Suppliers and buyers are key participants of the supply chain from which they get needed information. Relations with suppliers and buyers are an important precondition for the improvement of the operative performance of the enterprise. Sharing information with suppliers and buyers is done in the following way: information delivered to suppliers, information obtained from the supplier, information delivered to buyers and information obtained from buyers. To examine the impact of the supply chain used an empirical study about multi-dimensional relations. The research is focused on information sharing by food industry in Bosnia and Herzegovina (BiH). A random systematic sample was used to distribute the questionnaire to these companies. Collected data is analysed using the Confirmatory factor analysis (CFA), and the model was tested using the Structural equations model (SEM). The results showed that information sharing impacts the improvement of the organizational performance of companies, and partnerships with supplier and buyer impact on the information sharing. Results of this study showed that information sharing does not have a significant impact on the sub constructors of operative performances of the enterprise because there is no significant connection with flexibility, while for the other constructors there is a significant connection between information sharing and operative performances of the enterprise. Based on these facts, it examined the importance information sharing in the supply chain for the development of partnerships and improvement of performance this companies. The results will help managers on food industry in BiH how to improve quality of the information sharing through partnerships and how to developing operative performances companies. The model gives directions for developing business enterprises in food industry using information sharing within the supply chain. Apart from that, obtained results contributed to the better understanding of the significance of the information sharing in the food supply industry enterprises. Based on what is said, to improve the business of the enterprise, it is needed to share quality information which is possible to get through improving cooperation with key participants in the supply chain.

Primary research in social sciences is mostly used in survey questionnaires. Within the questionnaire, it is possible to elaborate questions in different ways. However, when measuring the quantitative properties, the most frequently used scale is Likert scale. Responses to statements are constructed in for of language values. In order to show the statistical analysis of the obtained results in the form of language values, it is necessary to convert them into numerical values. The aim of this paper is to show that we can transform linguistic values into numerical values using fuzzy logic and the corresponding methods. The subject of the paper is to offer an innovative methodology for the transformation of linguistic values into numerical ones so that they can be statistically processed. Converting is usually done by assigning a numerical value to a particular statement. If a 7-scale is applied, then transformations into numeric values are made from 1 to 7. For human way of thinking it is easier to use the linguistic value of the answer because it is not possible to give precise answers to some questions. Therefore, this paper presents a methodology in which linguistic values can be converted into numerical values using fuzzy logic. The transformation process is explained by an example variable of supply chain practice.

When making an investment decision the investor has got many alternative investment options available. The task of the investor is to choose one investment that will best accomplish the objectives of the investment project. In order for an investment to be possible, it is common practice to create a document that plans and especially outlines the form of the investment project. In order to choose an investment that best meets the goals of the project, it is necessary to evaluate the project. There are evaluation methods available for the investor to assess the effectiveness of an investment project. The results given by these methods are usually conflicting, thus causing difficulties for the investor's decision-making abilities. This paper presents a model for improving the decision process in investment. The purpose of this model is to indicate the need for using methods such as the multi-criteria analysis method in order to evaluate the effectiveness of an investment. Due to the fact that the results of the evaluation methods are often different, it is necessary to take into account that there are a number of criteria that need to be acknowledged, in order to make the best investment decision. Multi-criteria analysis can be used to rank potential investment projects and enhances the decision-making process that is required to meet the goals of an investment.

The term consumer behavior has become very popular in recent studies. It is characterized by various processes, with consumers purchasing decisions being one of them. This paper explores the way in which demographic characteristics influence purchasing decisions with focus on technical products including household appliances, computers, TV sets and similar technical products that cost more than 400 BAM. The empirical study was conducted in the region of northeast of Bosnia Herzegovina and 192 respondents were included in the study to express their allegations of purchasing decisions. Factor analysis was used to identify broader constructors as a basis for observation of the variables. In total, six variables were identified. Based on the calculation of Cronbach's Alpha indicators, it has been established that there was a low internal affiliation of claims in two variables, upon what they were discarded. Thus, four variables were used to study purchasing decision-making. The results of multivariate analysis of variance (MANOVA) showed that gender, income level and employment status of the respondents significantly influence purchasing decisions among consumers. The analysis of variance (ANOVA) has further shown that females Under the age of 25 and whose income is less than 400 BAM with less than 25 years are generally dedicating to purchasing decisions. The empirical findings showed that the most satisfied with their purchasing decisions are male respondents, whose income varies between 400 BAM and 800 BAM and who belong to the category of students under 25 years.

When exploring the relationship between users and information systems, it is necessary to ascertain what impact the user's basic features have on their experience of the information systems they use in their work. Accordingly, this survey was conducted in the Government of Brcko within the district of Bosnia and Herzegovina, and within the Public company Brcko Municipality. The survey was conducted on 479 employees, while 261 employees completed the questionnaire developed for this research. When measuring the basic characteristics of the respondent’s gender was considered, as well as the work place, age, qualifications, their work experience and the amount of use of the information system weekly. When measuring the experience of using the information system, a modified model of performance of the information system was used. The SPSS 20.0 statistical software tool was applied during the testing of the proposed hypothesis, and the multivariate variance analysis (MANOVA) and the variance analysis (ANOVA) were used for the analysis. A factor analysis was used with the grouping of the proposed claims. The results obtained using this analysis show that in the modified model of success of the information system the statements were grouped into 4 factors. The hypothesis test results have shown that there is a significant statistical dependence on the use of information systems in almost all features of a user, except for the age of users where there is no statistical dependence. The results obtained from this research will contribute to a better understanding of how users experience information systems in their work and what basic features of the respondents affect the use of the system.

The first step in starting each production is the choice of suppliers. The choice of suppliers is influenced by many factors that differ depending on whether it is the first relationship with suppliers or it is about establishing partnerships with suppliers. Factors influencing selection are different and depend on business cooperation with suppliers themselves. Unlike other works, this paper applies expert judgment in the rankings of supplier selection factors. Experts include those scientists who published scientific papers on this subject by the prestigious Elsevier publishing house. Experts were assigned a survey questionnaire containing 39 factors for supplier selection to which they gave their opinion on which of these factors is important for establishing new cooperation or establishing partnerships with suppliers. The answers received were processed and the factors were ranked using the fuzzy TOPSIS method. The results showed that various factors are used in this cooperation with suppliers.

Investment decision making always bears a certain amount of risk and uncertainty. Therefore, we can say that the investment decision is the most difficult decision which a company owner or a manager has to make. During the process of investment decision making, every decision maker has to face the problems of choosing the right among several possible alternatives. The goal is to choose the alternative which is most likely to realise the company's development and investment goals. The decision maker may approach this problem in several different ways. Investment decision making is among the final steps of preparatory operations of an investment process. Before making this decision, it is necessary to follow certain procedures in order to successfully conduct the required investment studies. After the investment decision has been made, we can initiate the realisation process of a given investment. This paper uses 20 different investment projects which were analysed through 5 methods of investment efficiency evaluation that are mostly used in countries covered by the research. Additionally, a research which focuses on the ways in which companies from Bosnia and Herzegovina, Croatia, Serbia and Montenegro approach the investment decision making process was conducted.

Wealth and tradition of using thermo mineral waters in Bosnia and Herzegovina is the main potential for development of health tourism. The primary significance in spa centers is providing health services and the organization of tourist activities. Today in Bosnia and Herzegovina 15 spas as health institutions have been registered. History of use of thermo-mineral springs dates back to the ancient Greeks and Romans, who recognized the healing properties of geothermal resources. The topic of this paper is to present the perspective of the development of the tourism sector through the development of health tourism through spa treatment. There are registered 15 spas as health institutions which have 3,455 beds and generate around 200,000 overnight stays, which accounts for 23% of overall overnight stays in Bosnia and Herzegovina. It is therefore important to look at the current offer of spa treatments in Bosnia and Herzegovina and to make recommendations on how to improve this branch of health.

Abstract In today’s modern age, information systems are of vital importance for successful performance of any organization. The most important role of any information system is its information support. This paper develops an information support model and presents the results of the survey examining the effects of such model. The survey was performed among the employees of Brcko Distric Government and comprised three phases. The first phase assesses the influence of the quality of information support and information on information support when making decisions. The second phase examines the impact of information support when making decisions on the perceived availability and user satisfaction with information support. The third phase examines the effects of perceived usefulness as well as information support satisfaction on user loyalty. The model is presented using six hypotheses, which were tested by means of a multivariate regression analysis. The demonstrated model shows that the quality of information support and information is of vital importance in the decision-making process. The perceived usefulness and customer satisfaction are of vital importance for continuous usage of information support. The model is universal, and if slightly modified, it can be used in any sphere of life where satisfaction is measured for clients and users of some service.