Artificial Intelligence in finance shared services

Bc. Nazira Beisenbekova

Master's thesis

Abstract:

This study was conducted to understand how AI / RPA affects employees' performance in finance shared services and employment. RPA and AI work in tandem to expand automation into all sorts of new areas, allowing more complex tasks to be automated. The finance shared services are one of the most influenced by automation due to the sheer number of standard routines that accountants perform every day. The theoretical part is based on the literature on artificial intelligence and robotic process automation. The practical part includes quantitative and qualitative research. An attempt has been made to use the UTAUT model's construction, which helps identify influencing factors for technology adoption. In this context, one factor, the expected performance, was tested. The findings of the study demonstrated that the expected performance significantly affects the motivation of employees to work with AI / RPA systems. Moreover, concerning the issue of employment, fears of employees losing their jobs were identified. However, this study showed that AI/RPA is not currently replacing financial employees entirely but inviting them to interact with AI/RPA systems to work more efficiently.

Keywords

Artificial Intelligence, RPA, Finance Shared Services, Accountants, Performance Expectancy, UTAUT

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 31. 3. 2021

Obhajoba závěrečné práce

• Vedúci: Ing. Miloš Ulman, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / odbor:
Economics and Management / European Agrarian Diplomacy