IDEAS home Printed from https://ideas.repec.org/a/hig/fsight/v17y2023i4p69-78.html
   My bibliography  Save this article

Big Data, Machine Learning, Artificial Intelligence and Blockchain in Corporate Governance

Author

Listed:
  • Meiryani Meiryani

    (Bina Nusantara University (Indonesia))

  • Dezie Leonarda Warganegara

    (Bina Nusantara University (Indonesia))

  • Vidhiya Andini

    (Bina Nusantara University (Indonesia))

Abstract

The article analyzes the dynamics of research and practice of using key technologies of Industry 4.0 - big data, artificial intelligence, machine learning and blockchain. The article evaluates contribution of specific authors, citations, interaction networks, positions of individual countries and research organizations.countries and research organizations. Bibliometric network analysis on Scopus and OpenAlex databases for 2011-2022 revealed a steady increase in the number of publications on the topic under consideration and, consequently, increasing interest in it. With the use of the mentioned technologies in corporate governance is associated with expectations of increasing efficiency and transparency, increased cybersecurity. The authors provide recommendations for different categories of users to maximize the potential of Industry 4.0 developments for business and economy.

Suggested Citation

  • Meiryani Meiryani & Dezie Leonarda Warganegara & Vidhiya Andini, 2023. "Big Data, Machine Learning, Artificial Intelligence and Blockchain in Corporate Governance," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 17(4), pages 69-78.
    • Handle: RePEc:hig:fsight:v:17:y:2023:i:4:p:69-78
    as

    Download full text from publisher

    File URL: https://foresight-journal.hse.ru/en/2023-17-4/879970116.html
    Download Restriction: no
    File URL: https://foresight-journal.hse.ru/data/2024/01/03/2097762506/6-Meiryani-69-78.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Ñorporate governance; sustainable development; corporate social responsibility; technology; Industry 4.0;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:hig:fsight:v:17:y:2023:i:4:p:69-78. 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: Nataliya Gavrilicheva or Mikhail Salazkin (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.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.