Changes in the Adoption of AI Technologies into Accounting
Harju, Jesper (2023)
2023
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023112932674
https://urn.fi/URN:NBN:fi:amk-2023112932674
Tiivistelmä
This research-based bachelor’s thesis explored the automation of financial accounting processes through the application of artificial intelligence (AI). The primary objective was to investigate the impact of automation on accountants' work in the future. It won’t discuss parts of AI that are not beneficial in accounting or any specific accounting software.
The thesis comprised a theoretical segment and an empirical segment. The theoretical part centered on financial accounting, artificial intelligence, the effects of artificial intelligence on accounting, and accountants' competencies. The empirical part focused on the research findings.
For this thesis, the author opted for mixed and qualitative research methods. The mixed methods research involved the examination of online articles and books. Qualitative research took the form of semi-structured interviews with accounting professionals from the Helsinki area. The mixed methods findings underwent analysis through mixed analysis, while thematic analysis was applied to the qualitative methods findings.
In conclusion, the author's exploration of AI in financial accounting unveils a transformative trend where businesses adopt AI for heightened efficiency and accuracy. Automation technologies such as machine learning and NLP significantly reduce human errors, enabling accountants to concentrate on strategic tasks. The findings portray AI not as a disruptor but as an enabler, fostering a symbiotic relationship between human expertise and technological prowess. The study underscores the importance of continuous education and collaboration between accounting professionals and AI specialists for harmonious integration.
The thesis comprised a theoretical segment and an empirical segment. The theoretical part centered on financial accounting, artificial intelligence, the effects of artificial intelligence on accounting, and accountants' competencies. The empirical part focused on the research findings.
For this thesis, the author opted for mixed and qualitative research methods. The mixed methods research involved the examination of online articles and books. Qualitative research took the form of semi-structured interviews with accounting professionals from the Helsinki area. The mixed methods findings underwent analysis through mixed analysis, while thematic analysis was applied to the qualitative methods findings.
In conclusion, the author's exploration of AI in financial accounting unveils a transformative trend where businesses adopt AI for heightened efficiency and accuracy. Automation technologies such as machine learning and NLP significantly reduce human errors, enabling accountants to concentrate on strategic tasks. The findings portray AI not as a disruptor but as an enabler, fostering a symbiotic relationship between human expertise and technological prowess. The study underscores the importance of continuous education and collaboration between accounting professionals and AI specialists for harmonious integration.