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.

For the purpose of this research, we used a quality questionnaire related to quality, satisfaction and loyalty of students. The research was carried out a t he start and end of the academic year. This approach ascertained a gap with respect to quality, satisfaction and loyalty of students of eMPIRICA

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.

Cattle breeding is a very important part of agricultural production in Bosnia and Herzegovina (B&H), and milk production has a vital place in cattle breeding production. From an economic point of view, milk production is interesting as it is a daily production which presupposes faster marketing, which accelerates capital movement in agriculture, which in turn enhances liquidity. This research uses analyses of the existing state in milk production. The collected data are processed and cost calculation has been designed which enables the analysis of economic indicators of 4 dairy farm production models in B&H. Based on the collected data on features and values of dairy farm production models in B&H an analysis of expert evaluation was conducted as input data for DEXi method. The aim of this paper is to ascertain the basic indicators of business success of 4 dairy farm production models in B&H. Production-ecological, economic and socio- political features of the mentioned dairy farm models were analyzed. Based on the used criteria a rate of dairy farm production models using DEXi method was conducted. The results of the research in this paper using DEXi method show that the best model for dairy farm is model number four, which includes 45 milk cows.

Increasing competition present in the higher education in B&H has conditioned the trend that institutions need to “fight” for each student via quality development at higher education institutions. This paper deals with means of enhancing quality at eMPIRICA College through continual investigation of students’ satisfaction. For the purpose of this research, we used a quality questionnaire related to quality, satisfaction and loyalty of students. The research was carried out at the start and end of the academic year. This approach ascertained a gap with respect to quality, satisfaction and loyalty of students of eMPIRICA College. Using factor analysis the statements were grouped in 3 quality dimensions. The results of multivariate analysis of variance (MANOVA) showed that there is a significant statistical difference between expected and perceived quality, satisfaction and loyalty on the part of the students. Based on that, a gap between expectations and perceptions was ascertained. The use of t-test revealed that some statements have significant statistical difference in the area of expected and perceived quality, satisfaction and loyalty of students.

Stratesko razmisljanje predstavlja novu perspektivu u podrucjumarketinga. Marketing menadžment se suocava sa formulisanjem iimplementacijom marketing programa za podrsku i perspektivestrateskog marketinga sa posebnim akcentom na: važnost, ulogu,razvoj i funkcije marketing strategije. Marketing strategije sefokusiraju na nacine kojima se kompanije, gradeci kapital na vlastitimsnagama, nastoje efektivno razlikovati od konkurencije.Dobra marketing strategija treba biti okarakterisana kao jasnatržisna definicija, dobar spoj organizacionih snaga i potreba tržista, isuperioran nastup u odnosu na konkurenciju u kljucnim faktorimaposlovnog uspjeha. Prilikom odabira jedne od strategija, kompanija semože opredijeliti da bude lider na tržistu, tržisni izazivac, tržisnisljedbenik ili tržisni tamponer.Upravo razliciti pristupi pri kreiranju konkurentnih marketinskihstrategija cine predmet ovoga rada, gdje ce se objasniti pojedinastrategija i kako se ona provodi u odrenenoj kompaniji.

SAŽETAK: Marketing je svakodnevni pratitelj poslovnih djelatnosti za kompanije. Pojavom suvremenih tehnologija prvenstveno Interneta pridonijelo je promjenama u poslovanju kompanija. Sve više pažnje se posvjećuje mogućnostima korištenja marketinga na Internetu. Jedan od segmenata koji se brzo širi na Internetu jesu socijalne mreže. Socijalne mreže postale su iznimno popularne jer omogućavaju ljudima povezivanje u online svijetu. Svim socijalnim mrežama je lako pristupiti, vrlo su dostupne internetskoj publici. Samim time postaju kanal koji kompanijama nudi pregršt prilika. Socijalne mreže predstavljaju snagu koju treba iskoristiti svaka kompanija u izvođenju svojih marketing aktivnosti, jer nijedan medij ne može prenijeti informaciju brže nego što to one rade. Socijalne mreže kompanijama služe da izgrade bolje odnose s potrošačima i stvaranju prepoznatljivog brenda. Ovo se sve postiže pomoću posebnih alata namijenjene za marketing aktivnosti koje su dostupne na njima.

Investment represents an instrument for the implementation of development policies of an enterprise. Investment-related decision making in an enterprise is highly important for successful realization of the strategic development goals. During that process, decisions about many investments must be made, whereas only one or several investments can be realized due to the lack of finance. This paper demonstrates an approach to investment decision making using an exact scientific method, which includes ranking investment projects according to their financial and market efficiency grades. During the process of solving investment-related decision problems, ten particular investment projects were used and method of multi-criteria analysis was implemented in order to form a ranking list regarding the investment projects and selecting the most reasonable project.

The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several treatments of HCW with their advantages and disadvantages. This study is conducted to select the appropriate treatment for HCW in the Brčko District of Bosnia and Herzegovina. Six HCW management treatments are analyzed and observed through twelve criteria. Ten-level linguistic values were used to bring this evaluation closer to human thinking. A fuzzy rough approach is used to solve the problem of inaccuracy in determining these values. The OPA method from the Bonferroni operator is used to determine the weights of the criteria. The results of the application of this method showed that the criterion Environmental Impact ( 𝐶 4 ) received the highest weight, while the criterion Automation Level ( 𝐶 8 ) received the lowest value. The ranking of HCW management treatments was performed using MARCOS methods based on the Aczel–Alsina function. The results of this analysis showed that the best-ranked HCW management treatment is microwave (A6) while landfill treatment (A5) is ranked worst. This study has provided a new approach based on fuzzy rough numbers where the Bonferroni function is used to determine the lower and upper limits, while the application of the Aczel–Alsina function reduced the influence of decision-makers on the final decision because this function stabilizes the decision-making process.

The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several treatments of HCW with their advantages and disadvantages. This study is conducted to select the appropriate treatment for HCW in the Brčko District of Bosnia and Herzegovina. Six HCW management treatments are analyzed and observed through twelve criteria. Ten-level linguistic values were used to bring this evaluation closer to human thinking. A fuzzy rough approach is used to solve the problem of inaccuracy in determining these values. The OPA method from the Bonferroni operator is used to determine the weights of the criteria. The results of the application of this method showed that the criterion Environmental Impact ( 𝐶 4 ) received the highest weight, while the criterion Automation Level ( 𝐶 8 ) received the lowest value. The ranking of HCW management treatments was performed using MARCOS methods based on the Aczel–Alsina function. The results of this analysis showed that the best-ranked HCW management treatment is microwave (A6) while landfill treatment (A5) is ranked worst. This study has provided a new approach based on fuzzy rough numbers where the Bonferroni function is used to determine the lower and upper limits, while the application of the Aczel–Alsina function reduced the influence of decision-makers on the final decision because this function stabilizes the decision-making process.

The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several treatments of HCW with their advantages and disadvantages. This study is conducted to select the appropriate treatment for HCW in the Brčko District of Bosnia and Herzegovina. Six HCW management treatments are analyzed and observed through twelve criteria. Ten-level linguistic values were used to bring this evaluation closer to human thinking. A fuzzy rough approach is used to solve the problem of inaccuracy in determining these values. The OPA method from the Bonferroni operator is used to determine the weights of the criteria. The results of the application of this method showed that the criterion Environmental Impact ( 𝐶 4 ) received the highest weight, while the criterion Automation Level ( 𝐶 8 ) received the lowest value. The ranking of HCW management treatments was performed using MARCOS methods based on the Aczel–Alsina function. The results of this analysis showed that the best-ranked HCW management treatment is microwave (A6) while landfill treatment (A5) is ranked worst. This study has provided a new approach based on fuzzy rough numbers where the Bonferroni function is used to determine the lower and upper limits, while the application of the Aczel–Alsina function reduced the influence of decision-makers on the final decision because this function stabilizes the decision-making process.