IDEAS home Printed from https://ideas.repec.org/a/wsi/ijfexx/v09y2022i03ns2424786321410139.html
   My bibliography  Save this article

Impact of AI on employment in manufacturing industry

Author

Listed:
  • Shuai Shao

    (Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai, P. R. China)

  • Zhanzhong Shi

    (Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai, P. R. China)

  • Yirong Shi

    (��Queen’s University, Kingston, Ontario, Canada)

Abstract

Artificial intelligence (AI) is the most significant technological revolution since we entered the 21st century. It has become a new focus of public attention and international competition. Industrial integration with AI technology not only brings vast opportunities for transformation and upgrading of enterprises but also has an impact on employment structure. Focusing on the fusion of the manufacturing industry integrating AI, we analyze the integration progress of AI and segmented manufacturing industries, describe a supply-and-demand situation of labor market with different skills, and discuss the impact of AI technology on manufacturing employment theoretically. Then we construct the propensity score matching–difference-in-difference model, divide intelligent manufacturing enterprises into various categories, and inspect the influences on the employment structure of different segmented manufacturing enterprises before and after integrating AI technology. Finally, we put forward efficient methods of transformation and upgrading of manufacturing enterprises and practical suggestions to solve problems on employment structure.

Suggested Citation

  • Shuai Shao & Zhanzhong Shi & Yirong Shi, 2022. "Impact of AI on employment in manufacturing industry," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-18, September.
    • Handle: RePEc:wsi:ijfexx:v:09:y:2022:i:03:n:s2424786321410139
    DOI: 10.1142/S2424786321410139
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2424786321410139
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S2424786321410139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joy Otibhor Olurin & Franciscamary Okonkwo & Tobechukwu Eleogu & Oladapo Olakunle James & Nsisong Louis Eyo-Udo & Rosita Eberechukwu Daraojimba, 2024. "Strategic HR Management in the Manufacturing Industry: Balancing Automation and Workforce Development," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(12), pages 380-401, January.

    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:wsi:ijfexx:v:09:y:2022:i:03:n:s2424786321410139. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/worldscinet/ijfe .

    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.