IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-38391-5_8.html
   My bibliography  Save this book chapter

A Research on Value of Individual Human Capital of High-Tech Enterprises Based on the BP Neural Network Algorithm

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Xiu-fen Li

    (Northwest University for Nationalities)

  • Ping Zhang

    (Northwest University for Nationalities)

Abstract

Based on the review of relevant research, this paper combines with the characteristics of individual human capital of high-tech enterprises and constructs a comprehensive evaluation index system including four first-level indicators and sixteen secondary indicators. Using the BP algorithm of neural network model, based on thirty equipment manufacturing enterprises, this paper also establishes an evaluation model of the value of individual human capital for the chief engineer. It holds that although there exist many approaches to evaluating individual human capital value, many problems still remain unresolved, such as: too broad concept definition, a lack of understanding of the specificity of evaluation object, a single evaluation method and inadequacy of practicability or improper model design, and among others the critical problem in the evaluation of human capital value lies in the fact that the system cannot be truly applied to practice.

Suggested Citation

  • Xiu-fen Li & Ping Zhang, 2013. "A Research on Value of Individual Human Capital of High-Tech Enterprises Based on the BP Neural Network Algorithm," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 71-79, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_8
    DOI: 10.1007/978-3-642-38391-5_8
    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 search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Zirong Zhuo & Zhiwei Cheng & Yangzhou Lai & Ziyue Chen, 2016. "Analysis of Company Human Capital Network Based on the Cellular Automation," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(5), pages 244-244, April.

    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:sprchp:978-3-642-38391-5_8. 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.