The impact of artificial intelligence on audit services: an empirical study of the Italian context
Domenica Lavorato and
Rita Lamboglia
Chapter 5 in Handbook of Services and Artificial Intelligence, 2024, pp 67-81 from Edward Elgar Publishing
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.
Keywords: Business and Management; Economics and Finance; Geography; Innovations and Technology (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035301973.00012 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:21983_5
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().