IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v41y2020i1p64-78.html
   My bibliography  Save this article

Integration of network data envelopment analysis and decision‐making trial and evaluation laboratory for the performance evaluation of the financial holding companies in Taiwan

Author

Listed:
  • Hsiang‐Hsi Liu
  • Jih‐Jeng Huang
  • Yung‐Ho Chiu

Abstract

Data envelopment analysis (DEA) has been constantly used to measure the technical efficiency of decision‐making units (DMUs). However, the major problem of traditional DEA methods is that they do not consider the possible intermediate effects. Recently, many papers have applied network DEA models to evaluate the efficiency scores. However, the linking activity of DMUs is still hard to be recognized. Hence, we employ DEMATEL to obtain the linking activity of DMUs. Our empirical research shows that the proposed method can soundly deal with the purpose of identifying the relationship between variables and derive the reasonable result in network DEA.

Suggested Citation

  • Hsiang‐Hsi Liu & Jih‐Jeng Huang & Yung‐Ho Chiu, 2020. "Integration of network data envelopment analysis and decision‐making trial and evaluation laboratory for the performance evaluation of the financial holding companies in Taiwan," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(1), pages 64-78, January.
  • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:1:p:64-78
    DOI: 10.1002/mde.3093
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3093
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.3093?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
    ---><---

    Citations

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


    Cited by:

    1. Kshitish Kumar Mohanta & Deena Sunil Sharanappa & Vishnu Narayan Mishra, 2023. "Neutrosophic data envelopment analysis based on the possibilistic mean approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(2), pages 81-98.
    2. Li‐Ting Yeh & Dong‐Shang Chang & Huei‐Min Li, 2022. "Developing a network data envelopment analysis model to measure the efficiency of banking with the governance, innovation, and operations," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2863-2874, October.
    3. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.

    More about this item

    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:wly:mgtdec:v:41:y:2020:i:1:p:64-78. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.