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Revisiting Japanese Lifetime Employment System: Financial Performance Analysis Using Artificial Neural Networks

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  • Daisuke Okamoto

    (Faculty of Business & Commerce, Keio University)

Abstract

The Japanese lifetime employment system is believed to be demised and collapsed; however, there are many companies which attach importance to long-term and regular employment. Also these companies have achieved high growth and profitability. In this paper, these facts will be shown and the Japanese lifetime employment system will be revisited by an artificial neural networks model, which can deal with a non-linear relationship, using questionnaire survey data and financial data.

Suggested Citation

  • 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.
    • Handle: RePEc:kei:dpaper:2011-010
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    File URL: https://ies.keio.ac.jp/old_project/old/gcoe-econbus/pdf/dp/DP2011-010.pdf
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    References listed on IDEAS

    as
    1. 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.
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    3. Kato, Takao, 2001. "The End of Lifetime Employment in Japan?: Evidence from National Surveys and Field Research," Journal of the Japanese and International Economies, Elsevier, vol. 15(4), pages 489-514, December.
    4. Casey Ichniowski & Kathryn Shaw, 1999. "The Effects of Human Resource Management Systems on Economic Performance: An International Comparison of U.S. and Japanese Plants," Management Science, INFORMS, vol. 45(5), pages 704-721, May.
    5. Daisuke Okamoto, 2009. "Social Relationship of a Firm and the CSP–CFP Relationship in Japan: Using Artificial Neural Networks," Journal of Business Ethics, Springer, vol. 87(1), pages 117-132, June.
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