IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v6y2021i1id50668.html

Enterprise Risk Management to Minimizing Financial Distress Condition Using Analytical Hierarchy Process Method in PT. XYZ

Author

Listed:
  • Ervie Nur Afifa Mukhlis
  • Sylviana Maya Damayanti

Abstract

PT. XYZ as one of telecommunications infrastructure providers that suffered losses gave a strong signal that the company was experiencing financial distress. Altman z-score is used to know the condition of the company. The result of Altman z-score analysis company has to further analyze the cause of financial distress. To prevent the company from bankruptcy risk, we cannot only focus on the financial aspect but also from various aspect. Enterprise risk management is used as a tool to identify what risks that could lead companies to experience financial distress and which risk should be mitigated. Risk assessment in this study using the analytic hierarchy process to check and reduce the expert inconsistency. After conducting risk management process, monitoring and review as the final step and implementation of this study. The result from this study is most of the risk are classified into high and medium risk can be mitigate by reduce or transfer the risk depend on the most suitable risk treatment. There are risks that classified as low risk, environment risk and promotion risk.

Suggested Citation

  • Ervie Nur Afifa Mukhlis & Sylviana Maya Damayanti, 2021. "Enterprise Risk Management to Minimizing Financial Distress Condition Using Analytical Hierarchy Process Method in PT. XYZ," European Journal of Business and Management Research, European Open Science, vol. 6(1), pages 76-86, January.
  • Handle: RePEc:epw:ejbmr0:v:6:y:2021:i:1:id:50668
    DOI: 10.24018/ejbmr.2021.6.1.668
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/50668
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/50668/7101
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2021.6.1.668?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
    ---><---

    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:epw:ejbmr0:v:6:y:2021:i:1:id:50668. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.