IDEAS home Printed from https://ideas.repec.org/a/arp/tjssrr/2019p646-654.html
   My bibliography  Save this article

Exploring Ambient Discriminatory HRM Practices: An Insight From Kingdom Telecom Company

Author

Listed:
  • Dr. Zafrul Allam

    (Assistant Professor, Department of Human Resource Management, College of Business Administration, Prince Sattam Bin Abdulaziz University, Kingdom of Saudi Arabia)

Abstract

The current paper was intended to determine the ambient discriminatory practices pertaining to human resource management (HRM) in two different telecom company situated in the Kingdom of Saudi Arabia. Hundred and twenty employees working in the company were contacted for this investigation randomly to get the ideas about discriminatory human resource management (HRM) practices. Questionnaire related to discriminatory human resource management (HRM) practices including biographical information blank sheets were administered to the subjects to determine the discriminatory practices related to human resource management (HRM). Mean and graphical symbol were used to examine the data and the results of the investigation discovered that discriminatory HRM practices existed in terms of training & development, job analysis, recruitment & selection, intention to stay in the company, compensation & benefits, co-workers relation, performance appraisal, working condition, communication and security & health but in a marginal form. The researcher has recommended further study to eliminate ambient discriminatory HRM practices to make the employees more enthusiastic and vigorous to perform well and play important role in the developmental process of organization.

Suggested Citation

  • Dr. Zafrul Allam, 2019. "Exploring Ambient Discriminatory HRM Practices: An Insight From Kingdom Telecom Company," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(3), pages 646-654, 03-2019.
    • Handle: RePEc:arp:tjssrr:2019:p:646-654
    as

    Download full text from publisher

    File URL: https://www.arpgweb.com/pdf-files/jssr5(3)646-654.pdf
    Download Restriction: no
    File URL: https://www.arpgweb.com/journal/7/archive/03-2019/3/5
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Daniel E. Ufua & Odunayo P. Salau & Owais Saleem & Mercy E. Ogbari & Adewale O. Osibanjo & Evans Osabuohien & Anthonia A. Adeniji, 2022. "Systems Approach to Address Human Resource Issues: A Case in a Commercial Livestock Farm in Southern Nigeria," SAGE Open, , vol. 12(2), pages 21582440221, May.

    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:arp:tjssrr:2019:p:646-654. 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: Managing Editor (email available below). General contact details of provider: http://arpgweb.com/?ic=journal&journal=7&info=aims .

    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.