IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-124-1_36.html

The Influence Factors of Inefficient Utilization of Human Capital: The Evidence from Chinese State-Owned Enterprises

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Junji Dong

    (Dongbei University of Finance and Economics, Finance)

Abstract

State-owned enterprises is an important part of the economic system in China, which directly affect China’s economy under the condition that Chinese economy have developed to a new stage called “the new normal of economic development”. However, the problems about the low efficiency of human capital utilization on State-owned enterprises is still obvious. Chinese State-owned enterprises’ low efficiency of human capital utilization can cause the decline of the competitiveness in market and the efficiency of business. This research is taken out to explore the main factors which cause the low efficiency of Chinese state-owned enterprises. The three main factors that can lead to the inefficient utilization of human capital are Professional skill, Initiative and Innovation ability.

Suggested Citation

  • Junji Dong, 2023. "The Influence Factors of Inefficient Utilization of Human Capital: The Evidence from Chinese State-Owned Enterprises," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 307-312, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_36
    DOI: 10.2991/978-94-6463-124-1_36
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-124-1_36. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.