CHLOPECKÝ, Jakub, Adam PAWLICZEK, Šárka VILAMOVÁ, Ladislav MORAVEC, Jaroslav HUBÁČEK a Omar AMEIR. Strategic risk management of an enterprise depending on external conditions. 2018, s. 855-861. ISSN 1314-2704. Dostupné z: https://dx.doi.org/10.5593/sgem2018/1.3/S03.109.
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Základní údaje
Originální název Strategic risk management of an enterprise depending on external conditions
Autoři CHLOPECKÝ, Jakub, Adam PAWLICZEK, Šárka VILAMOVÁ, Ladislav MORAVEC, Jaroslav HUBÁČEK a Omar AMEIR.
Vydání 2018, 1314-2704.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 50204 Business and management
Utajení není předmětem státního či obchodního tajemství
Organizační jednotka Moravská vysoká škola Olomouc
Doi http://dx.doi.org/10.5593/sgem2018/1.3/S03.109
Klíčová slova anglicky Dependence;Econometric model;External conditions;Extraction
Změnil Změnila: Bc. Michaela Nováková, učo 5293. Změněno: 29. 4. 2021 13:29.
Anotace
The strategic management of the mining companies involved in the extraction and processing of energy raw materials still lacked a strategic tool to help determine the patterns of extraction of energy resources in the development of the external environment or external conditions. In this article, the authors sought to find a possible econometric model of black coal. Research is based on data available from the macroeconomics and mining of the selected mineral, which are analyzed using the multidimensional regression analysis developed by the RKWard software. The resulting econometric model includes research into the determination of dependencies between black coal mining and external conditions that are thought to be macroeconomic aggregates. This research is described in the article "Managerial View of the Dependence of Selected Materials on External Conditions". The correct determination of the econometric model of mining volume appears to be an interesting competitive advantage. The results of the extraction of hard coal, selected repaired minerals, led to further research, e.g. in econometric modeling and prediction of extraction of raw materials, which the authors are still concerned with.
VytisknoutZobrazeno: 27. 6. 2024 07:53