We are currently in the year 2024, in the midst of the fourth industrial revolution, where artificial intelligence (AI) is one of the most revolutionary technologies characteristic of this era. The fifth industrial revolution is on the horizon, where AI will be further distinguished. Through a qualitative method with an inductive approach, semi-structured interviews have been conducted to investigate how AI has impacted the audit process and how far audit firms have come in this development. This is because auditing is a profession that, according to previous research, is relevant to investigate due to its rigid nature with strict laws and regulations. The handling of confidential information is a central part, and the work during the audit process should ultimately contribute to a quality-assured audit. Due to this technological development, this study, with the help of an analysis model consisting of diffusion of innovation (DOI), the unified theory of acceptance and use of technology (UTAUT), the audit process, and the productivity paradox, has identified auditors acceptance and use of AI in the audit process. The study shows that AI has the potential to streamline the audit process by substituting repetitive tasks. Despite this, there are significant challenges that must be overcome for the full application of AI. Auditors have generally accepted AI, but there is uncertainty about how the technology can be used due to the handling of confidential information, existing regulations, and excessive reliance on the technology. These challenges have resulted in a low degree of usage and a relatively slow adoption rate. The productivity paradox is evident, as despite significant investments in AI and technological advancements, the actual productivity increase has been limited. The analysis shows that audit firms give the impression of faster development than what has actually occurred, while emphasizing that auditors analytical skills for a quality-assured audit are irreplaceable.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:sh-54288 |
| Date | January 2024 |
| Creators | Liander, Clara, Tapper, Emma |
| Publisher | Södertörns högskola, Institutionen för samhällsvetenskaper |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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