IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v10y2024i6id460.html

Implementing Oracle HCM Cloud for Diversity and Inclusion A Technical Architecture and Deployment Guide

Author

Listed:
  • Rekha Kota

Abstract

This technical article comprehensively examines Oracle HCM Cloud's implementation framework for Diversity and Inclusion (D&I) initiatives. The article explores the platform's advanced analytics capabilities, bias detection mechanisms, and industry-specific applications while providing detailed insights into its technical architecture and deployment strategies. The article demonstrates how machine learning algorithms, real-time analytics processing, and sophisticated data collection mechanisms work together to create an effective D&I management system. The article analyzes the platform's approach to privacy protection, compliance monitoring, and stakeholder engagement through various automated tools and customizable interfaces. By examining multiple case studies and implementation scenarios across different sectors, this article highlights the transformative potential of technology in advancing workplace equity. The article also addresses critical aspects of human-AI collaboration, career development frameworks, and success measurement methodologies, providing valuable insights for organizations seeking to enhance their D&I initiatives through technological innovation.

Suggested Citation

  • Rekha Kota, 2024. "Implementing Oracle HCM Cloud for Diversity and Inclusion A Technical Architecture and Deployment Guide," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(6), pages 676-685, November.
    • Handle: RePEc:jbh:ijsrcs:v10:y2024:i6:id:460
    DOI: 10.32628/CSEIT241061102
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241061102
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT241061102
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT241061102/CSEIT241061102
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT241061102?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:jbh:ijsrcs:v10:y2024:i6:id:460. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.