IDEAS home Printed from https://ideas.repec.org/a/ids/ijlica/v19y2022i5p395-415.html
   My bibliography  Save this article

The influence of intellectual capital through human capital and structural capital towards financial performance manufacturing companies (garment and textile sector)

Author

Listed:
  • Donny Arif
  • Abdul Halik
  • Nikma Yucha

Abstract

This study aims to assess the garment and textile companies' financial performance for 2017-2019 with data taken from the IDX by measuring the intellectual capital variable through human capital and structural capital. This study uses a descriptive approach by maximising the regression function analysis method. The process with this method is considered capable of providing a final value that can measure its financial performance and provide acceptable conclusions. Each variable is measured by identifying the value taken from the IDX data for the 2017-2019 period, with the criteria for the number of employees of each company, the capital structure produced by each company, and the fixed asset turnover ratio. This study indicates that financial performance can run well through the direct route with IC without going through HC or structural capital. However, intellectual capital directly affects human capital and structural capital to improve overall financial performance.

Suggested Citation

  • Donny Arif & Abdul Halik & Nikma Yucha, 2022. "The influence of intellectual capital through human capital and structural capital towards financial performance manufacturing companies (garment and textile sector)," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 19(5), pages 395-415.
  • Handle: RePEc:ids:ijlica:v:19:y:2022:i:5:p:395-415
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125355
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijlica:v:19:y:2022:i:5:p:395-415. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=86 .

    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.