Artificial Intelligence solutions for Romanian accounting companies
Mihai Mirela Simina () and
Duţescu Adriana ()
Additional contact information
Mihai Mirela Simina: Bucharest University of Economic Studies, Bucharest, Romania
Duţescu Adriana: Bucharest University of Economic Studies, Bucharest, Romania
Proceedings of the International Conference on Business Excellence, 2022, vol. 16, issue 1, 859-869
Abstract:
The fast availability of data coupled with technology evolution, have brought Artificial Intelligence closer to commercial use. The relevance of AI solutions for business models worldwide was underlined by the significant investments made by internet giants such as Google, Apple, Amazon, Facebook. In the highly data driven accounting and finance industry, AI represents a solution to drive better results. The level of AI applications implemented so far is not high. This study aims to highlight the drivers and inhibitors of AI adaptation in the finance and accounting industry based on interviews with experts in Artificial Intelligence in accounting and finance. First step for this study is represented by the process of understanding the current level of knowledge on the field by conducting a literature analysis. In order to structure the results a Technology - Organization - Environment framework was used. While applying Artificial Intelligence solutions the role models and process competencies are crucial. These will assure a success in the process of training algorithms to reach the quality level to operate, without any human intervention and moral concerns.
Keywords: Artificial Intelligence; Machine Learning; Intelligent Document Processing; Software as a Service; accounting companies (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/picbe-2022-0080 (text/html)
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:vrs:poicbe:v:16:y:2022:i:1:p:859-869:n:18
DOI: 10.2478/picbe-2022-0080
Access Statistics for this article
Proceedings of the International Conference on Business Excellence is currently edited by Alina Mihaela Dima
More articles in Proceedings of the International Conference on Business Excellence from Sciendo
Bibliographic data for series maintained by Peter Golla ().