IDEAS home Printed from https://ideas.repec.org/a/rsk/journ3/7962509.html

Determining the perception of operational risk management practices based on demographic factors in the South African banking sector

Author

Listed:
  • Lancelot Monama
  • Kago Amiel Matlhaku
  • Sune Ferreira-Schenk

Abstract

This study investigates the perceptions and understandings of various demographic groups about risk management and its implementation in the South African banking industry. As no reliable secondary data was available, research was carried out using a survey questionnaire. The survey’s participants were employees at the top five commercial banks in South Africa. The Student t -test, analysis of variance and factor analysis are the inferential statistical techniques used to explain the results of the survey. The majority of the survey respondents thought risk management was crucial and knew the fundamentals of its structure. Moreover, the survey revealed that demographic factors such as age, sex, ethnicity and length of service influence whether participants perceive risk differently. This indicates that in the context of South African banking, demographics are crucial to understanding and applying risk management as a whole. This study is groundbreaking because it clarifies the important role of demographics in influencing bank employees’ perceptions of risk. Ultimately, it may be deduced that a bank’s total operational risk management improves when its staff members understand the risk management procedure.

Suggested Citation

  • Lancelot Monama & Kago Amiel Matlhaku & Sune Ferreira-Schenk, . "Determining the perception of operational risk management practices based on demographic factors in the South African banking sector," Journal of Operational Risk, Journal of Operational Risk.
  • Handle: RePEc:rsk:journ3:7962509
    as

    Download full text from publisher

    File URL: https://www.risk.net/node/7962509
    Download Restriction: no
    ---><---

    More about this item

    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:rsk:journ3:7962509. 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: Thomas Paine (email available below). General contact details of provider: https://www.risk.net/journal-of-operational-risk .

    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.