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The identification of the Key players in the supply chain network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F19%3A43899878" target="_blank" >RIV/60076658:12510/19:43899878 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The identification of the Key players in the supply chain network

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    978-80-7394-760-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    326-331

  • Publisher name

    University of South Bohemia in České Budějovice, Faculty of Economics

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Sep 11, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article