The identification of the Key players in the supply chain network

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The identification of the Key players in the supply chain network

Popis výsledku v původním jazyce

Regarding to the future challenges, another aspect of supply chains needs to be mentioned. Network design decisions have a significant impact on performance and flexibility within the supply chain networks. In this paper, we used various methods suitable for external analysis of automotive industry network that can identify the key players of the network. Exponential Non-Discriminative Snowball Sampling was used as a method for network construction; existence of each 70 nodes and 110 links (based on information flow) was verified using the real suppliers or customers relationship. Then, the analysed network is specified by the basic whole network measures. The results of whole network measures clue method selection used in the next step of the network analysis. The core and periphery was identified using the Core Periphery Model. Within the core part of the network, key players were divided into hubs and authorities through other network characteristics of closeness, information centrality, etc. The node fragmentation level determines the importance of each node for network structure and financial stability.

Název v anglickém jazyce

The identification of the Key players in the supply chain network

Popis výsledku anglicky

Regarding to the future challenges, another aspect of supply chains needs to be mentioned. Network design decisions have a significant impact on performance and flexibility within the supply chain networks. In this paper, we used various methods suitable for external analysis of automotive industry network that can identify the key players of the network. Exponential Non-Discriminative Snowball Sampling was used as a method for network construction; existence of each 70 nodes and 110 links (based on information flow) was verified using the real suppliers or customers relationship. Then, the analysed network is specified by the basic whole network measures. The results of whole network measures clue method selection used in the next step of the network analysis. The core and periphery was identified using the Core Periphery Model. Within the core part of the network, key players were divided into hubs and authorities through other network characteristics of closeness, information centrality, etc. The node fragmentation level determines the importance of each node for network structure and financial stability.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Conference Proceedings of 37th International Conference on Mathematical Methods in Economics 2019

ISBN

978-80-7394-760-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

326-331

Název nakladatele

University of South Bohemia in České Budějovice, Faculty of Economics

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

11. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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