@ARTICLE{Byrska-Rąpała_Alicja_The_2018, author={Byrska-Rąpała, Alicja}, number={Nr 106}, journal={Zeszyty Naukowe Instytutu Gospodarki Surowcami Mineralnymi Polskiej Akademii Nauk}, pages={13-26}, address={More info at Journal site: https://min-pan.krakow.pl/wydawnictwo/czasopisma/zeszyty-naukowe-instytutu-surowcami-mineralnymi-i-energia-pan/ https://min-pan.krakow.pl/wydawnictwo/wp-content/uploads/sites/4/2018/02/Wskazowki-ZN-ang-2018.pdf}, howpublished={online}, year={2018}, publisher={Instytut Gospodarki Surowcami Mineralnymi Polskiej Akademii Nauk}, abstract={The subject of the paper is the analysis of factors determining the value of multi-entity organizations in the energy sector and their ranking according to the degree of impact on this value. For this purpose, statistical methods were used, which are best suited to determine the order of diagnostic features according to a specific criterion. The survey covered companies from the Polish energy sector, while the process itself is based on aggregated data, which represents the financial data of capital groups currently operating in the Polish energy sector. The first part of the article presents a short description of the Polish energy sector, paying particular attention to the organizational structure of the sector, i.e. companies operating on the domestic energy market. The nature of a multi-entity enterprise as a typical economic unit in the sector is described. The second part of the article describes the assumptions of multidimensional comparative analysis (MCA) as a tool for comparing multifunctional units. The MCA makes it possible to find the most important parameters or indicators having the greatest impact on the value of a multi-entity organization, i.e. a capital group. The survey covered four companies from the Polish energy sector: TAURON Polska Energia SA, ENEA SA, ENERGA SA and PGE Polska Grupa Energetyczna SA. The study with the use of MCA was conducted in three stages: - in the first stage, on the basis of information contained in the financial statements, a matrix of diagnostic features was created, describing the financial condition of the examined entity, - in the second stage, the values of diagnostic variables were normalized/unified; two methods of normalization were applied: the method of standardization and zero unitization, - in the third stage, the diagnostic variables were grouped using two methods: the model measure of Hellwig’s development and the non-standard measure of development. The results of the analysis are illustrated by tables and figures.}, type={Artykuły / Articles}, title={The application of selected methods of multidimensional comparative analysis to identify value determinants on the example of energy sector companies}, URL={http://journals.pan.pl/Content/108559/PDF/Byrska-Rapala.pdf}, doi={10.24425/124404}, keywords={multi-dimensional comparative analysis, diagnostics variable, methods of linear ordering, methods of normalization}, }