The purpose of this paper is to examine the current state of rural tourism in Republic of Srpska as well as to provide guidance and recommendations for the development of this form of tourism. The used model approach expert opinion and, on this occasion, the DEX method of multicriteria decision-making was used. With this model, an assessment of rural tourist capacities is carried out on a random sample of four tourist facilities. The reason for the results obtained in this way is that the observed facilities have adequately used the natural resources available to Republic of Srpska. In addition, recommendations and guidelines are given in order to further develop this type of tourism in Republic of Srpska. The presented model offers an innovative approach in the assessment of current and potential tourist facilities. For this reason, it should be used in future research.

Changes in the market, caused by globalization, have led to the fact that many companies needed to adapt their operations. In response to these changes, the concept of supply chain was developed to help companies from procurement to sales of products. This paper examines the effects of supply chains on competitiveness using the example of agro-food companies from the Republic of Croatia. The research was conducted through a questionnaire which included 188 agribusiness companies. The responses were systematized and statistically processed using descriptive statistics, correlation analysis and multivariate regression analysis. The results showed that the effects of supply chains play a major role in determining the competitiveness of agro-food companies. Therefore, it is necessary to improve the effects of the supply chain in these companies in order to improve competitiveness and achieve better results of these companies on the market.

Many scholars perceive price competitiveness as a highly relevant element of tourism competitiveness in improving tourism performance. We focused our research interest specifically to understand whether price competitiveness is an important policy instrument in attracting international tourists and their spending. Our empirical study focused on how price competitiveness behaves as a predictor of tourism performance in different economic conditions and whether price competitiveness is a significant cause of tourism competitiveness in improving tourism performance. For that purpose, we conducted empirical analysis within two stages: moderation analysis to understand how price competitiveness influences tourism performance from the point of view of inbound international tourism and how this relationship behaves in different economic conditions; and mediation analysis to understand whether price competitiveness is relevant cause for tourist competitiveness in improving tourism performance. This study has revealed different views about price competitiveness and its influence on the tourism industry. The findings indicate that price competitiveness has rather limited effects on the outcomes of the tourism industry and is not a cause of overall tourism competitiveness in improving tourism performance.

Disposal of healthcare waste is a key issue of environmental sustainability in the world. The amount of healthcare waste is increasing every day, and it is necessary to adequately dispose of this kind of waste. There are various treatments for healthcare waste disposal, of which incineration of healthcare waste is one of the solutions. This paper suggests a model for selection of the type of incinerators that best solve the problem of healthcare waste in secondary healthcare institutions in Bosnia and Herzegovina. In the selection of incinerators, extended sustainability criteria were applied. Basic sustainability criteria: environmental, economic, and social criteria, were extended with the technical criterion. To assess which of the incinerators best meets the needs for healthcare waste collection, multi-criteria decision-making was used. For this purpose, a combination of two MCDA methods was applied in this paper, namely full consistency method (FUCOM) and compromise ranking of alternatives from distance to ideal solution (CRADIS). The FUCOM method was applied to determine the weights of the criteria, while the CRADIS method was applied to rank the alternatives. The best alternative of the six alternatives used is A2 (I8-M50), followed by alternative A1 (I8-M40), while the worst ranked alternative is A5 (I8-M100). These results were confirmed by applying the other six methods of multi-criteria analysis and the performed sensitivity analysis. The contribution of this paper is reflected through a new method of multi-criteria analysis that was used to solve decision-making problems. This method has shown simplicity and flexibility in operation and can be used in all problems when it is necessary to make a multi-criteria selection of alternatives.

Globalization and lifestyle changes have led to health becoming a major social preoccupation of the population. Spas are no longer just centers for disease treatment, but a means of preventing diseases and protecting human health. An increasing number of young people are trying to improve their health through spa treatments. This is why there is a growing tourist offer of spa centers. Bosnia and Herzegovina (B&H) has rich natural resources that are conducive to the creation of spas. Therefore, this study looked into spa offers and evaluated the transformation of medical spas into modern spa centers in order to improve competitiveness. Spa transformation survey was conducted on the example of spas in B&H. Six, out of a total of fifteen registered spas in B&H, have been chosen randomly. The spa offer was evaluated by applying the decision-making model and expert decision-making. The obtained results showed that the spas of Ilidža - Gradačac and Ilidža - Sarajevo have "good" transformation; the spas Dvorovi and Mlječanica have "middle" transformation, while the spas of Gata and Sanska Ilidža have "bad" transformation in the process of creating modern spas. Based on the results of this study, spa managers can obtain the necessary information on how to adjust the offer to make those spas more competitive. In addition, the spas will also generate higher revenues. The decision-making model used has shown good results and can be applied to future studies and research.

To run a business successfully, quality determination and customer relations are very important factors. Therefore, it is necessary to measure quality and identify critical points of business. In this paper, an original integrated model for measuring the service quality of reverse logistics (RL) was developed for the company Komunalac Teslić, which was used as an example. The Delphi and Full Consistency Method (FUCOM) was applied to determine the significance of the quality dimensions, while a modified SERVQUAL (SQ) model was used to measure the service quality of the logistics. An original SQ questionnaire was formed with a total of 21 statements that were arranged in five standard dimensions. Examining the reliability of the questionnaire for quality dimensions using the Cronbach Alpha coefficient, it was found that the measurement scales for dimensions are appropriate in terms of user expectations, while in terms of quality perception there is no measurement scale for the empathy dimension. An extensive statistical analysis was then performed to verify the results. A Signum test was applied to identify the relationship between the responses in terms of expectations and perceptions, i.e., to examine their differences. The findings obtained by this research show that the expectations were higher than the perceived quality of the services and that there was a significant statistical difference for 12 of the SQ statements. For two statements, there was a significant statistical difference in favor of perceived quality compared to expectations. Based on the results obtained, the company must improve its services in order for service quality to be at a satisfactory level.

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

Regional integration into the Gulf Cooperation Council has enabled respective countries to effectively participate in global supply chains. To ensure effective integration of this region into global supply chains, logistics operations are a very important determinant. The aim of this study was to assess logistical performances of GCC countries, and to identify which country has the best conditions for establishing a regional logistic center. For this study, we used relevant data from Logistics Performance Index (LPI) developed by the World Bank. The research was conducted using a hybrid multicriteria approach based on the CRITIC and MABAC methods. The findings of this study indicate that the United Arab Emirates has the best conditions for establishing a regional logistics center. This study also releveled the areas of logistics in which other GCC countries should make an improvement to improve their logistical performance.

Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.

Tourism is an economic activity with great contribution for the development of many countries. To develop rural areas, tourism is especially important and need to be improved in these areas. The Government of Brčko District of Bosnia and Herzegovina has decided to have tourism improvement as one of main objectives in their development strategy focusing on better conditions for development of tourism. Investments in tourism should be applied to the entire area of the Brčko District. Since Brčko District mainly consists of rural areas, it is necessary to invest in rural tourism. The first step of this study was to determine the tourist potential of rural areas. The determination of rural tourist potential in Brčko District was carried out with the assistance of the Brčko District Government. For this purpose, the method of expert decision-making was used, and three experts were selected who evaluated six rural settlements. To obtain results based on expert evaluation, two multi-criteria methods were used: the Full Consistency Method (FUCOM) for determining the importance of criteria and the fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (MARCOS) method to rank rural settlements in terms of their tourism potential. The results showed that the settlement of Bijela has the best rural tourist potential, while the settlement of Grbavica has the least potential. The results obtained by applying this model showed how rural tourism in Brčko District can be improved. The research model for testing the tourism potential has shown good results and can be applied in other branches of tourism with some adaptation to certain branches of tourism.

The choice of the appropriate variety of fruit is one of the most important factors in establishing new orchards. It is necessary to choose the variety that will give the best results in meeting the investment goals. This paper offered an innovative decision support model for plum variety selection, based on expert decision making and fuzzy logic. The fuzzy MARCOS (Measurement Alternatives and Ranking according to COmpromise Solution) method was used. The research was conducted with the aim of improving plum production in Bosnia and Herzegovina (BiH). To achieve this, the knowledge of experts from the Republic of Serbia was used, because this country is currently the third in the world in plum production and have branded many plum varieties. The results obtained using this model showed that two plum varieties stand out - Cacanska rodna and Stanley. These results were also confirmed by the performed sensitivity analysis. The worst results were obtained by the Sumadijka variety. These results will help in the selection of plum varieties when establishing new orchards in BiH to achieve the best results in Bosnian plum production.

Selection of Sustainable Suppliers is a key term in sustainable supply chain management. This is the reason to choose the supplier who will support the company to implement sustainability in its business, especially in the supply chain. The aim of this paper is to establish a new innovative model for decision-making based on a fuzzy approach. This decision-making problem is solved by applying multi-criteria decision-making since there are several criteria according to which a decision should be made: economic, social, and environmental. In order to make the final decision on the supply chain better and safer, the social criteria were modified in this paper, adding ethical criteria. The example with modified social criteria in this paper was shown on the example of the company "Voćar" Brčko, which deals with the production of food products. In this paper, the fuzzy Measurement Alternatives and Ranking, according to the Compromise Solution Method, was used. The findings have shown that supplier A1 has the best results, which were confirmed with the first sensitivity analysis. However, the second sensitivity analysis has shown that supplier A5 was better than supplier A1 in 14 scenarios. Due to these findings, no unanimous decision can be made about which supplier among the two, in this case, would contribute more. This paper has shown that the selection of sustainable suppliers is crucial for any company focused on the principles of sustainability in business. Moreover, this paper has shown that it is sometimes very difficult to select just one supplier.

Bosnia and Herzegovina (B&H) possess many natural resources that can be exploited for the development of medical tourism. The offer of medical tourism in B&H is focused on spa tourism. B&H has 16 registered spa-centers offering different types of services. This study provides a complete overview of the assessment of the current state of spa-centres using expert decision-making and methods of multi-criteria analysis. An innovative and novel MCDM model based on integration of the FUCOM (full consistency method) and fuzzy MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) methods was used. The model consists of 16 alternatives and eight sustainable criteria. The results of this research have shown that the spa-centers of Ilidža near Sarajevo, Fojnica and Vrućica have the best assessments of the current situation and prerequisites for sustainable business. These spa-centers should be a benchmark to other spas providing direction on how to improve their business to be more sustainable and competitive in the market. These results were confirmed by a sensitivity analysis with two approaches used. The first approach was to compare the results obtained by the fuzzy MARCOS method with other fuzzy methods, and the second approach was to examine the influence of the application of different weights on the final ranking of the spa. The results of this study can serve spa-canter managers to understand the position of their spa-centers in order to exploit advantages they have and eliminate the shortcomings to improve their business.