IDEAS home Printed from https://ideas.repec.org/p/eti/rdpsjp/20016.html
   My bibliography  Save this paper

Use of AI, Work Style Reform, and Productivity: Evidence from an Individual-Level Survey (Japanese)

Author

Listed:
  • MORIKAWA Masayuki

Abstract

This study presents individual-level evidence of the use of artificial intelligence (AI) and big data and discusses the relationship of these new automation technologies with work-style reform and productivity. The results indicate, first, that young and highly educated individuals tend to use AI and big data in their jobs. Second, use of these automation technologies is positively associated with earnings. Third, recent work-style reform has not necessarily contributed to improving efficiency in work, but the results suggest that use of AI and big data combined with work-style reform may contribute to workers' productivity.

Suggested Citation

  • MORIKAWA Masayuki, 2020. "Use of AI, Work Style Reform, and Productivity: Evidence from an Individual-Level Survey (Japanese)," Discussion Papers (Japanese) 20016, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:rdpsjp:20016
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/20j016.pdf
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eti:rdpsjp:20016. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.