IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-46177-4_22.html
   My bibliography  Save this book chapter

The Role of Data Analytics in Enhancing External Audit Quality

In: Towards Digitally Transforming Accounting and Business Processes

Author

Listed:
  • Karlien Dempsey

    (University of Johannesburg)

  • Vanessa Dyk

    (University of Johannesburg)

Abstract

Due to corporate failures, audit quality concerns and the rapidly changing IT environment in the financial reporting value chain, more auditors are using data analytics tools to enhance audit quality. However, researchers have not made significant progress in establishing the extent to which the Big Four audit firms in South Africa incorporate data analytics into the external audit process and whether this enhances the quality of the audit. The study investigated the role of data analytics in enhancing external audit quality in South Africa, the relationship between external audit, audit quality and data analytics and the impact of the latest technological advancements, commonly known as the Fourth Industrial Revolution, on the way firms perform audits. The study also explored whether audit firms in South Africa utilise data analytics, on which engagements and during which stages of the audit process, what the benefits and challenges of using data analytics are, and what the impact of using data analytics is on audit regulatory inspection results. This was achieved through a literature review and an empirical study conducted using a questionnaire. The study revealed strong evidence that there are notable audit quality concerns in South Africa, which have been attributed to a failure in audit quality, and that auditors are using data analytics to overcome these concerns. Based on the study’s findings, it was concluded that using data analytics in an audit enhances external audit quality.

Suggested Citation

  • Karlien Dempsey & Vanessa Dyk, 2024. "The Role of Data Analytics in Enhancing External Audit Quality," Springer Proceedings in Business and Economics, in: Tankiso Moloi & Babu George (ed.), Towards Digitally Transforming Accounting and Business Processes, pages 399-423, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-46177-4_22
    DOI: 10.1007/978-3-031-46177-4_22
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-46177-4_22. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.