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  • Author: Judit Olah x
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The Brand Value and its Impact on Sales in Automotive Industry

Abstract

The aim of this article is to define the theoretical basis of brand value from the viewpoint of domestic (Slovak) and foreign authors and its impact on sales. This includes a regression and correlation analyses focused on investigate the dependence between the brand value and sales in automotive industry. The basic sources of research were secondary data obtained from worldwide surveys in the form of rankings published by Forbes magazine, annual reports of companies and published professional publications. General scientific methods were applied for the processing of the data, as well as mathematical-statistical methods to evaluate the data collated from the results of regression and correlation analyses and test the linear independence. The results of analyses show that the brand value and sales are linearly dependent, specifically it is medium-strong direct linear dependence. Therefore, the brand value has a direct effect on sales volume.

Open access
Logistics management of the rail connections using graph theory: the case of a public transportation company on the example of Koleje Dolnośląskie S.A.

Abstract

The main purpose of the paper was the structural analysis of the connections network used by a railway carrier Koleje Dolnośląskie S.A. operating in southern Poland. The analysis used simulation methods. The analysis and simulation were based on graph theory, which is successfully used in analysing a wide variety of networks (social, biological, computer, virtual and transportation networks). The paper presents indicators which allow judging the analysed connections network according to an appropriate level of transport services. Simulation results allowed proposing some modifications for the improvement of the analysed connections network. The paper also demonstrates that graph theory and network simulations should be used as tools by transportation companies during the stage of planning a connections network.

Open access