COMPARISON OF MINING PREDICTION WITH REAL MINING AS A TOOL FOR STRATEGIC MANAGEMENT

@inproceedings{8881,
   author = {Pawliczek, Adam and Tkačíková, Lenka and Moravec, Ladislav and Navrátilová, Daniela and Pavlíčková, Renáta},
   address = {Bulharsko},
   booktitle = {20th International Multidisciplinary Scientific GeoConference SGEM 2020},
   doi = {http://dx.doi.org/10.5593/sgem2020/1.2/s03.006},
   keywords = {Econometric models; comparison of results; managerial decisions; strategic management},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Bulharsko},
   isbn = {978-619-7603-06-4},
   pages = {43-50},
   publisher = {International Multidisciplinary Scientific Geoconference SGEM},
   title = {COMPARISON OF MINING PREDICTION WITH REAL MINING AS A TOOL FOR STRATEGIC MANAGEMENT},
   url = {https://www.sgem.org/index.php/peer-review-and-metrics/conference-proceedings-sgem},
   year = {2020}
}

TY  - JOUR
ID  - 8881
AU  - Pawliczek, Adam - Tkačíková, Lenka - Moravec, Ladislav - Navrátilová, Daniela - Pavlíčková, Renáta
PY  - 2020
TI  - COMPARISON OF MINING PREDICTION WITH REAL MINING AS A TOOL FOR STRATEGIC MANAGEMENT
PB  - International Multidisciplinary Scientific Geoconference SGEM
CY  - Bulharsko
SN  - 9786197603064
KW  - Econometric models
KW  - comparison of results
KW  - managerial decisions
KW  - strategic management
UR  - https://www.sgem.org/index.php/peer-review-and-metrics/conference-proceedings-sgem
N2  - 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.
ER  - 

PAWLICZEK, Adam, Lenka TKAČÍKOVÁ, Ladislav MORAVEC, Daniela NAVRÁTILOVÁ a Renáta PAVLÍČKOVÁ. COMPARISON OF MINING PREDICTION WITH REAL MINING AS A TOOL FOR STRATEGIC MANAGEMENT. Online. In \textit{20th International Multidisciplinary Scientific GeoConference SGEM 2020}. Bulharsko: International Multidisciplinary Scientific Geoconference SGEM, 2020, s.~43-50. ISBN~978-619-7603-06-4. Dostupné z: https://dx.doi.org/10.5593/sgem2020/1.2/s03.006.