IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-16-8656-6_57.html
   My bibliography  Save this book chapter

Framework Design of Data Assets Bank for Railway Enterprises

In: Liss 2021

Author

Listed:
  • Cheng Zhang

    (Beijing Jiaotong University Weihai Campus)

  • Xiang Xie

    (Beijing Jiaotong University)

Abstract

In China, data has been incorporated into production factors, and data assets have increasingly become the engine to promote the total value and growth of modern enterprises. It is very important to build data asset bank in order to enhance the value of railway enterprises and ensure the future success. This paper analyzes the value and significance of establishing the data asset bank, summarizes and refines the “MDIPOV” framework, which includes six aspects: data management, data deposit, data integration, data process, data operation and data valuation. At the same time, in view of the current data valuation hot spot, this paper analyzes the five considerations of data value, summarizes and provides five valuation methods to meet the needs of different types of data. The above achievements will help railway enterprises to lay a good data base, scientifically accumulate data assets and effectively realize digital transformation.

Suggested Citation

  • Cheng Zhang & Xiang Xie, 2022. "Framework Design of Data Assets Bank for Railway Enterprises," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 649-659, Springer.
  • Handle: RePEc:spr:lnopch:978-981-16-8656-6_57
    DOI: 10.1007/978-981-16-8656-6_57
    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.

    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:lnopch:978-981-16-8656-6_57. 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.