IDEAS home Printed from https://ideas.repec.org/a/bla/intlab/v139y2000i3p307-333.html

The Japan Model and the future of employment and wage systems

Author

Listed:
  • Susumu WATANABE

Abstract

No abstract is available for this item.

Suggested Citation

  • Susumu WATANABE, 2000. "The Japan Model and the future of employment and wage systems," International Labour Review, International Labour Organization, vol. 139(3), pages 307-333, September.
  • Handle: RePEc:bla:intlab:v:139:y:2000:i:3:p:307-333
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1564-913X.2000.tb00206.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    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. W. R. Garside, 2012. "Japan’s Great Stagnation," Books, Edward Elgar Publishing, number 14624.
    2. John Hassard & Jonathan Morris, 2025. "The impact of human resource management practices on managerial work: Institutional constraints, strategic actions and organizational outcomes," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 46(4), pages 967-985, November.
    3. Zhu, Ying, 2004. "Responding to the challenges of globalization: human resource development in Japan," Journal of World Business, Elsevier, vol. 39(4), pages 337-348, November.
    4. Jonathan Morris & John Hassard & Rick Delbridge & Takahiro Endo, 2021. "Understanding managerial work in the modern Japanese firm: The influence of new organizational forms and changing human resource management practices," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 42(4), pages 1378-1406, November.
    5. Daisuke Okamoto, 2011. "Revisiting Japanese Lifetime Employment System: Financial Performance Analysis Using Artificial Neural Networks," Keio/Kyoto Joint Global COE Discussion Paper Series 2011-010, Keio/Kyoto Joint Global COE Program.

    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:bla:intlab:v:139:y:2000:i:3:p:307-333. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/ilounch.html .

    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.