Financial characteristics and classification of production companies grouped by relevance of the logistic metric
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F14%3A43888434" target="_blank" >RIV/60076658:12510/14:43888434 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Financial characteristics and classification of production companies grouped by relevance of the logistic metric
Popis výsledku v původním jazyce
The main aim of the paper is to present the classification of production companies created on the basis of the logistic metric. Companies are grouped into clusters by (with) relevance of the logistic metric dimensions. In the paper two of the most popular clustering techniques are presented in the framework of the data recovery approach (agglomerative hierarchical clustering and k-means for partitioning). The basic characteristics of explored companies are used for juxtaposition of the separated clusters. In results four clusters of production companies are presented: Cluster of up and down stream cooperation companies, Cluster with Companies focused on down-stream cooperation, Cluster with companies focused on reporting by indicators and Cluster of companies which consider indicators are not important. Results bring new questions and direction for further research on demonstration of the dependence between logistic indicators monitoring, information sharing and financial performance o
Název v anglickém jazyce
Financial characteristics and classification of production companies grouped by relevance of the logistic metric
Popis výsledku anglicky
The main aim of the paper is to present the classification of production companies created on the basis of the logistic metric. Companies are grouped into clusters by (with) relevance of the logistic metric dimensions. In the paper two of the most popular clustering techniques are presented in the framework of the data recovery approach (agglomerative hierarchical clustering and k-means for partitioning). The basic characteristics of explored companies are used for juxtaposition of the separated clusters. In results four clusters of production companies are presented: Cluster of up and down stream cooperation companies, Cluster with Companies focused on down-stream cooperation, Cluster with companies focused on reporting by indicators and Cluster of companies which consider indicators are not important. Results bring new questions and direction for further research on demonstration of the dependence between logistic indicators monitoring, information sharing and financial performance o
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 8th International Scientific Conference INPROFORUM. Investment Decision-Making in the Period of Economic Recovery
ISBN
978-80-7394-484-1
ISSN
2336-6788
e-ISSN
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Počet stran výsledku
6
Strana od-do
71-76
Název nakladatele
Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta
Místo vydání
České Budějovice
Místo konání akce
České Budějovice
Datum konání akce
6. 11. 2014
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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