[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/eti/rdpsjp/19012.html
   My bibliography  Save this paper

Use of new information technology such as AI and worker well-being: Evidence from panel data analysis (Japanese)

Author

Listed:
  • YAMAMOTO Isamu
  • KURODA Sachiko
Abstract
This paper examines how the introduction and utilization of new information technologies including AI, IoT and big data affect the well-being of workers including their mental health and job engagement, in addition to the types of workers and workplaces that are more influenced by the changes, based on worker panel data. First, looking at the situation of the introduction and utilization of new information technologies shows that workplaces that employ workers with more routine tasks, higher wages, longer working hours, and where there is a focus on operational efficiency, tend to introduce and utilize new information technology. Next, panel data estimation shows that well-being indices such as the mental health index and work engagement index tend to increase after the introduction and utilization of new information technology. Thus, the introduction and utilization of new technologies such as AI can be interpreted as improving well-being, including mental health and work engagement, meaning that the effect of supporting workers is greater than the negative effect caused by the extra workload or learning cost that workers must bear due to new technologies. In addition, it is shown that the impact of such new information technology on well-being is more evident for workers with clear job descriptions, high job discretion, frequent, suddenly changing work demands, and employed in workplaces that conduct work-style reform such as improving operational efficiency, reducing overtime work, promoting morning and evening non-work activities, and promoting paid holidays.

Suggested Citation

  • YAMAMOTO Isamu & KURODA Sachiko, 2019. "Use of new information technology such as AI and worker well-being: Evidence from panel data analysis (Japanese)," Discussion Papers (Japanese) 19012, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:rdpsjp:19012
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/19j012.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:19012. 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.