Comparison of mining prediction with real mining as a tool for strategic management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F20%3A10248498" target="_blank" >RIV/61989100:27350/20:10248498 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31160/20:00056485

Výsledek na webu

<a href="http://dx.doi.org/10.5593/sgem2020/1.2/s03.006" target="_blank" >http://dx.doi.org/10.5593/sgem2020/1.2/s03.006</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/sgem2020/1.2/s03.006" target="_blank" >10.5593/sgem2020/1.2/s03.006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of mining prediction with real mining as a tool for strategic management

Popis výsledku v původním jazyce

This paper responds to published scientific papers which compile econometric models of extraction of selected mineral resources. Mining prediction models can be new tools to increase the competitiveness of mining enterprises. Comparing the results of mining prediction and real data is important for further research on the issue. Specification of the results will lead to better managerial decisions in strategic and operational management. The results of the paper can lead to the clarification of the so-called random component in econometric models and the refinement of the assembled models. Random components are different from macroeconomic indicators. These components cannot be quantitatively captured in calculations in terms of econometric models. These components are influenced by the economic models of the mineral extraction prediction. The aim of the paper is to estimate random components in the future when using mining predictions as support for managerial decisions. Other mining activities may react differently to other random components.

Název v anglickém jazyce

Comparison of mining prediction with real mining as a tool for strategic management

Popis výsledku anglicky

This paper responds to published scientific papers which compile econometric models of extraction of selected mineral resources. Mining prediction models can be new tools to increase the competitiveness of mining enterprises. Comparing the results of mining prediction and real data is important for further research on the issue. Specification of the results will lead to better managerial decisions in strategic and operational management. The results of the paper can lead to the clarification of the so-called random component in econometric models and the refinement of the assembled models. Random components are different from macroeconomic indicators. These components cannot be quantitatively captured in calculations in terms of econometric models. These components are influenced by the economic models of the mineral extraction prediction. The aim of the paper is to estimate random components in the future when using mining predictions as support for managerial decisions. Other mining activities may react differently to other random components.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Volume 2020, Issue 1.2

ISBN

978-619-7603-05-7

ISSN

1314-2704

e-ISSN

—

Počet stran výsledku

8

Strana od-do

43-50

Název nakladatele

STEF92 Technology Ltd.

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

18. 8. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—