Financial threats of network stability caused by fragments tending to bankruptcy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F14%3A43887544" target="_blank" >RIV/60076658:12510/14:43887544 - 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 threats of network stability caused by fragments tending to bankruptcy
Popis výsledku v původním jazyce
The companies with tendency to bankruptcy are affected not only by their own financial situation but also by financial power of their cooperative partners and their own network structure position. The paper is focused on the impact of financial situationof membership companies themselves and structure of network. The main aim of the paper is identification of network fragments with tendency to bankruptcy which could threaten the network stability. Network structure position of the nodes was determinedby the genetic search algorithm for the optimum Core/periphery bipartition. In evaluation process are financial threats in triads find out. The process also incorporates specific Credit and Bankruptcy Prediction Models. With respect to interdisciplinarycharacter of the described network, three models are selected: Taffler index, Kralicek Quick test, IN99 index. Triad threats level (TTL) determinates financial situation of membership companies with regard to cooperative relationships in
Název v anglickém jazyce
Financial threats of network stability caused by fragments tending to bankruptcy
Popis výsledku anglicky
The companies with tendency to bankruptcy are affected not only by their own financial situation but also by financial power of their cooperative partners and their own network structure position. The paper is focused on the impact of financial situationof membership companies themselves and structure of network. The main aim of the paper is identification of network fragments with tendency to bankruptcy which could threaten the network stability. Network structure position of the nodes was determinedby the genetic search algorithm for the optimum Core/periphery bipartition. In evaluation process are financial threats in triads find out. The process also incorporates specific Credit and Bankruptcy Prediction Models. With respect to interdisciplinarycharacter of the described network, three models are selected: Taffler index, Kralicek Quick test, IN99 index. Triad threats level (TTL) determinates financial situation of membership companies with regard to cooperative relationships in
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AE - Řízení, správa a administrativa
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Conference Proceedings 32nd International Conference Mathematical Methods in Economics 2014
ISBN
978-80-244-4209-9
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
831-836
Název nakladatele
Palacký University
Místo vydání
Olomouc
Místo konání akce
Olomouc
Datum konání akce
10. 9. 2014
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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