IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/21983_5.html
   My bibliography  Save this book chapter

The impact of artificial intelligence on audit services: an empirical study of the Italian context

In: Handbook of Services and Artificial Intelligence

Author

Listed:
  • Domenica Lavorato
  • Rita Lamboglia

Abstract

In recent years, audit firms have invested heavily in artificial intelligence (AI) technologies to increase the efficiency of the audit process. However, the impact of AI on audit remains underexplored and there is limited empirical evidence to support this positive relationship. This study investigates the use of AI in audits and its impact on audit quality and the audit process. Using a qualitative approach, we interviewed auditors from the four largest audit firms (Big 4) in Italy. Our findings show that Big 4 firms are in the early stages of AI adoption and face significant implementation challenges. AI increases audit efficiency and transforms the auditor’s role from routine to value-added. The study highlights the need for auditor skills development to maximize the benefits of AI in future audits. The research sheds light on auditors’ current use of AI, addresses critical challenges faced by practitioners, and provides insights for improving audit processes.

Suggested Citation

  • Domenica Lavorato & Rita Lamboglia, 2024. "The impact of artificial intelligence on audit services: an empirical study of the Italian context," Chapters, in: Ada Scupola & Jon Sundbo & Lars Fuglsang & Anders Henten (ed.), Handbook of Services and Artificial Intelligence, chapter 5, pages 67-81, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:21983_5
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/doi/10.4337/9781035301973.00012
    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:elg:eechap:21983_5. 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.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.