IDEAS home Printed from https://ideas.repec.org/a/wsi/acrjxx/v23y2019i02ns0218927519500202.html
   My bibliography  Save this article

IKEA: Sustainable Cotton Initiative in China

Author

Listed:
  • Yu Gong

    (University of Southampton, UK)

  • Steve Brown

    (University of Southampton, UK)

  • Fu Jia

    (University of York, UK)

  • Jiang Duan

    (Blockchain Research Center of China, Southwestern University of Finance and Economics, China)

Abstract

This case presents an industry leading company — IKEA’s multi-tier sustainable cotton initiative in China. The case begins with the background information of IKEA, cotton production in China and cotton-textile supply chain. It then presents IKEA’s sustainable cotton practice globally. This is followed by IKEA China’s motivation to implement sustainable cotton initiatives, its processes and the impacts on its cotton-textile supply chain. Finally, it ends with the case summary.

Suggested Citation

  • Yu Gong & Steve Brown & Fu Jia & Jiang Duan, 2019. "IKEA: Sustainable Cotton Initiative in China," Asian Case Research Journal (ACRJ), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 491-518, December.
  • Handle: RePEc:wsi:acrjxx:v:23:y:2019:i:02:n:s0218927519500202
    DOI: 10.1142/S0218927519500202
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0218927519500202
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0218927519500202?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jamalnia, Aboozar & Gong, Yu & Govindan, Kannan, 2023. "Sub-supplier's sustainability management in multi-tier supply chains: A systematic literature review on the contingency variables, and a conceptual framework," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Jamalnia, Aboozar & Gong, Yu & Govindan, Kannan & Bourlakis, Michael & Mangla, Sachin Kumar, 2023. "A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain," International Journal of Production Economics, Elsevier, vol. 264(C).

    More about this item

    Statistics

    Access and download statistics

    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:wsi:acrjxx:v:23:y:2019:i:02:n:s0218927519500202. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/acrj/acrj.shtml .

    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.