COMPARISON OF MINING PREDICTION WITH REAL MINING AS A TOOL FOR STRATEGIC MANAGEMENT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F20%3AN0000030" target="_blank" >RIV/26867184:_____/20:N0000030 - isvavai.cz</a>
Result on the web
<a href="https://www.sgem.org/index.php/peer-review-and-metrics/conference-proceedings-sgem" target="_blank" >https://www.sgem.org/index.php/peer-review-and-metrics/conference-proceedings-sgem</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>
Alternative languages
Result language
angličtina
Original language name
COMPARISON OF MINING PREDICTION WITH REAL MINING AS A TOOL FOR STRATEGIC MANAGEMENT
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
20th International Multidisciplinary Scientific GeoConference SGEM 2020
ISBN
9786197603064
ISSN
1314-2704
e-ISSN
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Number of pages
8
Pages from-to
43-50
Publisher name
International Multidisciplinary Scientific Geoconference SGEM
Place of publication
Bulharsko
Event location
Albena, Bulgaria
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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