About: An empirical analysis of the influence of risk factors on the frequency and impact of severe events on the supply chain in the Czech Republic

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

About: An empirical analysis of the influence of risk factors on the frequency and impact of severe events on the supply chain in the Czech Republic 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
rdfs:seeAlso	http://www.qip-journal.eu/index.php/QIP/article/view/416
Description	Purpose: This paper is focused on an analysis and evaluation of severe events according to their frequency of occurrence and their impact on the company's manufacturing and distribution supply chains performance in the Czech Republic. Risk factors are introduced for critical events. Design/methodology: An identification and classification of severe events are realized on the basis of median mapping and mapping of ordinal variability acquired through the questionnaire survey of 82 companies. Analysis of 46 risk factors was sorted into 5 groups. We used asymmetric Somers's d statistics for testing the dependence of frequency and impact of a severe event on selected risk sources. The hierarchical cluster analysis is performed to identify relatively homogeneous groups of critical severe events according to their dependency on risk factors and its strength. Findings: Results showed that 'a lack of contracts' is considered to be the most critical severe event. Groups of demand and supply side and an external risk factor group were identified to be the most significant sources of risk factors. The worst cluster encompasses 11% of examined risk factors which should be prevented. We concluded that organizations need to adopt appropriate precautions and risk management methods in logistics. Originality: In this paper, the methodology for severe events evaluation in supply chain is designed. This methodology involves assessing the critical factors which influence the critical events and which should be prevented. Purpose: This paper is focused on an analysis and evaluation of severe events according to their frequency of occurrence and their impact on the company's manufacturing and distribution supply chains performance in the Czech Republic. Risk factors are introduced for critical events. Design/methodology: An identification and classification of severe events are realized on the basis of median mapping and mapping of ordinal variability acquired through the questionnaire survey of 82 companies. Analysis of 46 risk factors was sorted into 5 groups. We used asymmetric Somers's d statistics for testing the dependence of frequency and impact of a severe event on selected risk sources. The hierarchical cluster analysis is performed to identify relatively homogeneous groups of critical severe events according to their dependency on risk factors and its strength. Findings: Results showed that 'a lack of contracts' is considered to be the most critical severe event. Groups of demand and supply side and an external risk factor group were identified to be the most significant sources of risk factors. The worst cluster encompasses 11% of examined risk factors which should be prevented. We concluded that organizations need to adopt appropriate precautions and risk management methods in logistics. Originality: In this paper, the methodology for severe events evaluation in supply chain is designed. This methodology involves assessing the critical factors which influence the critical events and which should be prevented. (en)
Title	An empirical analysis of the influence of risk factors on the frequency and impact of severe events on the supply chain in the Czech Republic An empirical analysis of the influence of risk factors on the frequency and impact of severe events on the supply chain in the Czech Republic (en)
skos:prefLabel	An empirical analysis of the influence of risk factors on the frequency and impact of severe events on the supply chain in the Czech Republic An empirical analysis of the influence of risk factors on the frequency and impact of severe events on the supply chain in the Czech Republic (en)
skos:notation	RIV/61989100:27510/14:86090626!RIV15-MSM-27510___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(EE2.3.20.0296), S
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Černý, Josef Hančlová, Jana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Ekonomická fakulta
http://linked.open...dnocenehoVysledku	2452
http://linked.open...ai/riv/idVysledku	RIV/61989100:27510/14:86090626
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Somers’ d statistic; risk sources; risk factors; critical events; risk management; supply chain management (en)
http://linked.open.../riv/klicoveSlovo	risk factors critical events risk management supply chain management Somers’ d statistic risk sources
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[CE6B95FD8DA1]
http://linked.open...i/riv/nazevZdroje	Kvalita Inovácia Prosperita
http://linked.open...in/vavai/riv/obor	AH
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Research team for modelling of economic and financial processes at VSB-TU Ostrava
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	18
http://linked.open...iv/tvurceVysledku	Hančlová, Jana Černý, Josef Caridad, José
issn	1335-1745
number of pages	23 (xsd:int)
http://bibframe.org/vocab/doi	10.12776/QIP.V18I2.416
http://localhost/t...ganizacniJednotka	27510

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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software