IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v10y2023i4p384-402.html
   My bibliography  Save this article

The impact of intelligent systems on the compensation policies of companies of the future

Author

Listed:
  • Renato Lopes da Costa
  • Tânia Filipa
  • Filipa Martinho
  • Rui Gonçalves
  • Álvaro Dias
  • Leandro Pereira

Abstract

Even though intelligent systems bring numerous benefits to organisations, the challenges that may occur in their functionality are still of concern, as revealed in the literature. The implementation of technologies has been growing, leading organisations to become advantageous and competitive, increasing productivity as well as reducing the functions performed by humans. Managers cannot devalue their employees, because they have the help of machines and initially feel difficulties in their adaptation. To understand the connection between the subjects of intelligent systems and compensation policies, the research questions will address the impact of intelligent systems on the compensation policies of the companies of the future and the impact that these technologies will have on rewards and employee appreciation. To answer these questions, a questionnaire was launched, and the results are analysed using a quantitative model, which showed that operation and non-operation benefits of using intelligent systems will positively affect compensation policies and that risks of its implementation are not a main concern.

Suggested Citation

  • Renato Lopes da Costa & Tânia Filipa & Filipa Martinho & Rui Gonçalves & Álvaro Dias & Leandro Pereira, 2023. "The impact of intelligent systems on the compensation policies of companies of the future," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 10(4), pages 384-402.
  • Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:384-402
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=133821
    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:ijient:v:10:y:2023:i:4:p:384-402. 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=167 .

    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.