IDEAS home Printed from https://ideas.repec.org/a/mth/ajfa88/v9y2017i2p161189.html

Resourcing the Internal Audit Function: How Effective is the Audit Committee?

Author

Listed:
  • Shir Li Ng
  • Dennis W Taylor

Abstract

The aim of this study is to investigate the extent to which an Audit Committee (AC)’s own governance characteristics impact on its role effectiveness in achieving enhanced resourcing and by extension, improved the scope and quality of the Internal Audit Function (IAF). Sample is drawn from top 300 companies listed on the Australian Stock Exchange (ASX). This study combines data from a questionnaire administered to the Internal Audit Executive (IAE) with information from annual reports and financial databases. Hypotheses are developed and tested using multiple regression analysis. This analysis is supplemented by insights from a comparative case study for two companies in the sample. Results reveal that AC size is significantly positively related to the financial resources (budget) allocated to IAF, while both AC financial expertise and AC size are significantly positively related to IAF labour hours. Results also confirm that IAF’s with higher resourcing are able to concentrate those resources on areas expected of a high quality IAF. Further, comparative case study analysis gives insights to the superior ways a larger size AC can be effective in fulfilling its oversight role, building its working relationships and obtaining resources for the IAF. Study contributes to current auditing-related governance literature by introducing a comprehensive empirical model of AC effectiveness in facilitating the scope and quality of the IAF’s work. Also, the findings have implications for regulators and the Institute of Internal Auditors (IIA) in terms of the composition and functioning of ACs.

Suggested Citation

  • Shir Li Ng & Dennis W Taylor, 2017. "Resourcing the Internal Audit Function: How Effective is the Audit Committee?," Asian Journal of Finance & Accounting, Macrothink Institute, vol. 9(2), pages 161189-1611, December.
  • Handle: RePEc:mth:ajfa88:v:9:y:2017:i:2:p:161189
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/ajfa/article/download/11937/9578
    Download Restriction: no

    File URL: https://www.macrothink.org/journal/index.php/ajfa/article/view/11937
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:mth:ajfa88:v:9:y:2017:i:2:p:161189. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/ajfa .

    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.