IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v3y2020i2p56-61id34.html
   My bibliography  Save this article

Identifying the impact of meritocracy on human resource productivity from the perspective of police academy lecturers

Author

Listed:
  • Mohammad Ali Fetrat
  • Sema Mutahar

Abstract

The present study was conducted to "identify the impact of meritocracy on human resource productivity from the perspective of police academies". This research is a descriptive-survey research in terms of purpose and methodology. The statistical population of this study is all lecturers of Kabul Police Academy. Morgan table was used to determine the sample size, which according to the population of the sample required 121 people. The instrument or the device of this study is a complex questionnaire. The reliability of this questionnaire was confirmed by Cronbach's alpha coefficient of 0.85. SPSS software was used to analyze the data using regression analysis. The results of this study show that meritocracy has a significant effect on human resource productivity, it also the effect of meritocracy components (knowledge, consciousness, abilities, skills, attitudes, education, training, and retention) on productivity. Human resources are influential and the hypotheses are confirmed.

Suggested Citation

  • Mohammad Ali Fetrat & Sema Mutahar, 2020. "Identifying the impact of meritocracy on human resource productivity from the perspective of police academy lecturers," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 3(2), pages 56-61.
  • Handle: RePEc:aac:ijirss:v:3:y:2020:i:2:p:56-61:id:34
    as

    Download full text from publisher

    File URL: http://www.ijirss.com/index.php/ijirss/article/view/34/140
    Download Restriction: no
    ---><---

    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:aac:ijirss:v:3:y:2020:i:2:p:56-61:id:34. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.