About: Financial characteristics and classification of production companies grouped by relevance of the logistic metric

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Financial characteristics and classification of production companies grouped by relevance of the logistic metric Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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 of the companies. 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 of the companies. (en)
Title	Financial characteristics and classification of production companies grouped by relevance of the logistic metric Financial characteristics and classification of production companies grouped by relevance of the logistic metric (en)
skos:prefLabel	Financial characteristics and classification of production companies grouped by relevance of the logistic metric Financial characteristics and classification of production companies grouped by relevance of the logistic metric (en)
skos:notation	RIV/60076658:12510/14:43888434!RIV15-MSM-12510___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Pech, Martin Kosíková, Petra Smolová, Jaroslava
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Jihočeská univerzita v Českých Budějovicích / Ekonomická fakulta
http://linked.open...dnocenehoVysledku	16796
http://linked.open...ai/riv/idVysledku	RIV/60076658:12510/14:43888434
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	logistic metrics; cluster analysis; finance indicators; information flow; supply network (en)
http://linked.open.../riv/klicoveSlovo	information flow cluster analysis finance indicators logistic metrics supply network
http://linked.open...ontrolniKodProRIV	[6BC031AF76A1]
http://linked.open...v/mistoKonaniAkce	České Budějovice
http://linked.open...i/riv/mistoVydani	České Budějovice
http://linked.open...i/riv/nazevZdroje	Proceedings of the 8th International Scientific Conference INPROFORUM. Investment Decision-Making in the Period of Economic Recovery
http://linked.open...in/vavai/riv/obor	AH
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Pech, Martin Pražáková, Jaroslava Kosíková, Petra
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2014-11-06 (xsd:date)
issn	2336-6788
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Jihočeská univerzita v Českých Budějovicích. Ekonomická fakulta
https://schema.org/isbn	978-80-7394-484-1
http://localhost/t...ganizacniJednotka	12510

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software