Sustainability in a supply chain is a demand on the one hand and a challenge on the other. It is necessary to balance between these dimensions in order to fulfill the purpose of the supply chain. Therefore, in the first phase—i.e., in procurement—it is necessary to take into account its sustainability. In this paper, a sustainable supplier was selected respecting all three aspects of sustainability. The evaluation was carried out on the basis of a total of 21 criteria arranged into two levels and three groups. A new Interval Rough SAW (simple additive weighting) method, which represents a contribution to the treatment of problems belonging to the multi-criteria decision-making (MCDM), was developed. The integration of interval rough numbers with the SAW method was completed. In addition, the full consistency method (FUCOM) was applied to determine the weights of the criteria. The integrated FUCOM-Interval Rough SAW model enables treatment of multi-criteria problems while reducing subjectivity to the lowest possible level and eliminating uncertainties and ambiguities. The results obtained were determined throughout a sensitivity analysis consisting of a change in the weight of the criteria and the influence of dynamic matrices on the change in ranks. In addition, Spearman’s rank correlation coefficient (SCC) was calculated to confirm the stability of the previously obtained results.

For investment decisions to be made in tourism sector, it is necessary to determine tourism potential on the first place. Tourism potential is the ability of a particular location to attract and host tourists. Tourism development should be based on strengthening sustainability, and thus tourism will provide good effects. Since rural settlements have experienced recession in the past few decades, these areas need to be revitalized. This can be achieved through development of rural tourism. Sustainability of rural tourism potential in Brcko District of Bosnia and Herzegovina is in focus of this study. Based on sustainability criteria, we assessed the rural potential in Brcko District of Bosnia and Herzegovina for certain rural settlements. Assessment of the sustainability of rural tourism potential in Brcko District of Bosnia and Herzegovina was carried out with expert evaluation and used methods of FUCOM, ARAS and CRITIC, and a decision model will be created for this purpose. The findings from this study will provide guidelines for improvement of rural tourism in Brcko District of Bosnia and Herzegovina through examination of good and bad sides of the examined rural settlements. The model with certain corrections can also be used in determining sustainable tourism potential in other branches of tourism.

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.

A decision-making process requires a prior definition and fulfilment of certain factors, especially when it refers to complex fields such as supply chain management. One of the most important items in the initial stage of a supply chain, which strongly influences its further flow, is making a decision on the most suitable supplier. In this paper, a model for evaluation and supplier selection has been proposed, which has been considered in more than ten different production areas. The model consists of twenty quantitative and qualitative criteria, which are reduced to a total of nine by the application of the fuzzy AHP and the assessment of managers in production companies. The verification of the model has been presented throughout a selection of suppliers in a company for the production of plastic bags and foils, where the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method has been used to determine the significance of the criteria, and the Fuzzy Evaluation based on Distance from Average Solution (Fuzzy EDAS) to evaluate and select suppliers. The obtained results have been considered throughout a sensitivity analysis in which a total of 15 different scenarios have been formed and where the stability of the model has been determined, since the supplier one is the best solution in all the cases.

The selection of the appropriate apple varieties is one of the most important decisions in orchards establishing. The paper gives the methodology for estimating the most suitable varieties of apples when establishing orchards according to modern market demands. This methodology is based on the DEX method for hierarchy-based multi-criteria decision making. The model developed in this paper was applied on four apple varieties, whereby an expert evaluation was used. The experts included in evaluation are from the Fruit Federation of Integral Fruit Production in Laktasi, where panel research was used. Fruit varieties that were observed are: Top Red, Idared, Gala and Golden Delicious because they are the most commonly planted in the orchards at the area of Northwest B&H. The basic advantage of this model is simple application. With visual characteristics of the DEXi program tool and graph radar it is easier to see the good and bad sides of the technological and economic features of the each analyzed apple varieties. The results of the model shows that the Top Red variety is “best” suited for establishing a new orchard, while Idared is rated as "good". The other two varieties used in this model are rated as "medium". For the final selection of apple varieties, it is necessary to carry out an analysis on a single micro-location where all the characteristics of the area should be taken into account.

This paper deals with direct effects ofbrand image, satisfaction and value on consumer loyaltytowards branded chocolates. In the empirical research, a model with these four brand dimensions was established to examine different direct effects - how brand image is related to brand satisfaction and its value, and how brand satisfaction is related to brand value. The research was conducted in Bosnia and Herzegovina andincluded 432 respondents based on a snowball sample. The results show that the established structural model is factual,enabling the acceptance of set hypotheses. It has also been proven that the brand satisfaction has the greatest impact on brand loyalty.Based on the findings, the paper additionally contains practical recommendations for production to creating a brand of chocolate.

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.