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EN
Research background: There are widely recognized benefits of sharing economy for entrepreneurs and consumers. The European Commission emphasizes the importance of European countries being open to new opportunities that sharing economy brings. In order to promote the development of sharing economy, it is important to understand what factors contribute to its development. Purpose of the article: The presented paper aims to identify the main factors relevant for the growth of sharing economy and to determine whether there are factors which are more significant for the development of the sharing economy than others. Based on reviewed literature, the Authors compiled a set of indicators and employed them for research purposes. The selected indicators were assigned into four main groups: technological, political and regulatory environment, economic and social-cultural environment. Methods: The authors used two multicriteria methods (SAW and APH), which were applied to the set of indicators and modeled five different situations by attributing significance to the indicators. The Authors have applied this set of indicators for assessing the following selected countries:  Lithuania, Latvia, Estonia and the United Kingdom. The data covers the years 2011-2015. Findings & Value added: The results of the research show that technological readiness and social-cultural environment are significant for the development of sharing economy. For further research the Authors recommend the creation of a composite Sharing Economy Index (SHEI).
EN
The paper presents the problem of designing transportation system for goods distribution with usage of multicriteria decision supporting method. The general characteristic of transportation system as an element of distribution system was presented. Moreover, the distribution system was identified as a one of the most important elements of supply chain which aims in making products available in place and time matching client needs. In further part the problem was mathematically formalized to optimization task. Analyzing the problems of modeling conveying system forces claim that decisions taken within area of transport organization consist in solving complex decision problems. Complexity follows from the demand of best decision according to many aspects. Solution must ensure othe best realization of all partial criteria (aims) taken into account during decision making process. The article contains characteristics of methods of multicriteria evaluation with regard to short literature review. The emphasis was placed on ELEKTRA and MAJA methods which can be applied in the evaluation of complex decision problems in transportation systems. The last part of the article is verifies of presented issues by tneans of numerical experiment.
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