IDEAS home Printed from https://ideas.repec.org/p/eti/rdpsjp/23026.html
   My bibliography  Save this paper

The Impact of Digital Transformation on Productivity and Resource Reallocation within Firms (Japanese)

Author

Listed:
  • FUKAO Kyoji
  • INUI Tomohiko
  • KIM Young Gak
  • KWON Hyeog Ug
  • IKEUCHI Kenta

Abstract

Prior studies have pointed out that the Japanese economy has lagged behind in IT and has not fully enjoyed the productivity benefits of IT investments, which has led to a prolonged slump in productivity growth to some extent. The spread of COVID-19 is forcing the Japanese economy to undergo digital transformation (DX), but there has been insufficient prior research in Japan on the impact of DX on corporate performance. This study analyzed the relationship between DX and corporate performance using firm-level data. The main findings are as follows: (1) IT investment is positively correlated with firm productivity, with the main contribution coming from software; (2) the establishment of a concurrent Chief Information Officer (CIO) is positively correlated with firm productivity, but the complementary relationship between CIO and IT investment is not confirmed; (3) there is no direct relationship between the introduction of new devices such as smartphones and tablets into the workplace and firm productivity; (4) there is no significant relationship between the use of big data within a company and productivity improvement; and (5) sharing data with supplier companies is positively related to corporate productivity, while sharing with customers is negatively correlated with firm productivity; and (6) IT investment by the Japanese headquarters has a weak positive correlation with the profit margin of overseas subsidiaries. For this study, we connected and analyzed firm-level data from the "ICT Workplace Survey", the "Basic Survey of Japanese Business Structure and Activities" and the "Basic Survey on Overseas Business Activities" conducted by the Ministry of Economy, Trade and Industry (METI), the "Survey on Big Data Utilization and Innovation in Manufacturing" by RIETI and firm-level data provided by Tokyo Shoko Research (TSR)".

Suggested Citation

  • FUKAO Kyoji & INUI Tomohiko & KIM Young Gak & KWON Hyeog Ug & IKEUCHI Kenta, 2023. "The Impact of Digital Transformation on Productivity and Resource Reallocation within Firms (Japanese)," Discussion Papers (Japanese) 23026, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:rdpsjp:23026
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/23j026.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:23026. 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.