In this paper, based on the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, a matrix of Threats, Opportunities, Weaknesses and Strengths (TOWS) was formed. It represents possible business strategies of the transport company. To choose the right plan, a model based on the integration of Fuzzy PIvot Pairwise RElative Criteria Importance Assessment (fuzzy PIPRECIA), Full Consistency Method (FUCOM) and Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) methods, has been formed. A case study was conducted in the transport company from Bosnia and Herzegovina which provides services on the domestic and the European Union market for 20 years and belongs to a group of small and medium enterprises (SMEs). The SWOT analysis in this transport company was the basis for forming the TOWS matrix, which represents a set of possible business strategies. These strategies are the basis for developing five basic alternatives. The transport company should choose the best one of them for future business. The research focuses on forming a model for choosing the best strategy by which the transport company seeks to improve its business. Decision-making (DM) is not a straightforward sequence of operations, so the harmonization of methods as well as the verification of their results, are essential in the research. This model is applicable in SMEs that make these and similar decisions. Using this model, companies can adjust their business policies to the results of the model and achieve better business results. This research is the first that allows the use of such a model in making strategic decisions.

On the question: how to react in a particular situation, the management of the company must have a quick answer. In the time of fast and huge changes in production, the management must know what resources are available in the company and what kind of environment it faces. To respond promptly to the requirements of the environment, the company must define a clear strategy for its business. To define a strategy, management must know the state of the company. From these reasons, in this research it was conducted SWOT analysis of specific company, and after that the elements of the SWOT matrix were ranked using fuzzy PIPRECIA method. This ranking shows on which element company should pay the most attention.

Tobacco consumption continues to be behavior engaged in by a large percentage of Bosnia & Herzegovina (BiH) citizens. According to the official statistics, nearly half of the state’s adults, that is about 1,200,600 people, consume tobacco products on a daily bases. The state excise policy is one of the main available tools for reducing smoking prevalence because cigarette prices are under the direct impact of this policy. The specific excise on cigarettes introduced in BiH in 2009 and has increased every year so it was the main driver of cigarette price growth. In order to provide research-based evidence for more effective tobacco taxation policies in BIH, in this paper we estimate the price elasticity of demand for cigarettes using the macro-level data for the period 2008 to 2017, on a semi-annual basis. The results have shown that the increase in prices of cigarettes has a statistically significant impact on cigarette consumption, at a significance level of 1%. The estimated price elasticity coefficient is in the range from -0.71 to -0.83, depends on the selected control variables used in the model. It means that the increase in real cigarette prices for 10% led to a decrease in cigarette consumption in the range from 7.1% to 8.3%.

Tobacco consumption continues to be behavior engaged in by a large percentage of Bosnia&Herzegovina (BiH) citizens. According to the official statistics, nearly half of the state’s adults, that is about 1,200,600 people, consume tobacco product on a daily bases. The state excise policy is one of the main available tool for reducing smoking prevalence because the cigarette prices are under direct impact of this policy. The specific excise on cigarettes introduced in BiH in 2009 and have increased every year so it was the main driver of cigarettes price growth. In order to provide research-based evidence for more effective tobacco taxation policies in BIH, in this paper we estimate price elasticity of demand for cigarettes using the macro level data for the period 2008 to 2017, on a semi-annual basis. The results have shown that increase in prices of cigarettes have statistically significant impact on cigarettes consumption, at significance level of 1%. The estimated price elasticity coefficient is in the range from -0.71 to -0.83, depends on the selected control variables used in the model. It means that increase in real cigarettes prices for 10% led to the decrease in cigarettes consumption in the range from 7.1% to 8.3%.