IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v14y2023i4p316-333.html
   My bibliography  Save this article

Multi-tier firm-level analysis of global auto supply chain: centrality and financial performance

Author

Listed:
  • Kayvan Miri Lavassani
  • Bahar Movahedi

Abstract

Over the past few years in light of the COVID-19 pandemic, practitioners, academics and policymakers have started to pay more attention to the consequences of globally extended supply chains on firms' performance, asset valuations and supply stability. Access to complex data and the advancements in network analytics have enabled researchers and practitioners to explore new horizons of global operations. These advancements have further contributed to the study of global supply chains from a business ecosystem perspective. Within this perspective, organisations can be studied using connected network analytics techniques. The present study explores the supply chain structure of the auto industry across five backward tiers. Based on the study of the auto industry global supply chain along five backward tiers, this study explores the effect of firms' position in supply chain structure on the firms' profitability, asset risk, and price volatility. The research methods proposed in this study apply to any industry globally.

Suggested Citation

  • Kayvan Miri Lavassani & Bahar Movahedi, 2023. "Multi-tier firm-level analysis of global auto supply chain: centrality and financial performance," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 14(4), pages 316-333.
  • Handle: RePEc:ids:ijenma:v:14:y:2023:i:4:p:316-333
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=134577
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijenma:v:14:y:2023:i:4:p:316-333. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=187 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.