Artificial Intelligence (ΑI) in Accounting and Finance
Mihail Diakomihalis ()
Additional contact information
Mihail Diakomihalis: International Hellenic University, Department of Economic Science, School of Economics & Management
Chapter Chapter 5 in Advanced Technologies in Business, Volume I, 2026, pp 109-130 from Palgrave Macmillan
Abstract:
Abstract Financial sector might be positively influenced by AI on issues of financial management, regarding fraud detection, better risk handling, preventing financial losses, and financial distress. The empirical research was conducted among the total population of 107 Greek academics in the accounting and/or finance field, using the Analytic Hierarchy Process (AHP). The results show that AI will influence most “financial management,” “accounting practice,” and “reconstruction of accounting personnel's ability,” are the most significant reasons for AI application, and the benefits expected to gain by the businesses, while, “maximization of value creation,” “management accounting turns from to ,” and “replacement of basic accounting & financial work,” rank in the last three places of benefits expected from AI. Implementation of AI in accounting and finance tasks and enterprises’ departments will induce drastic changes in the way businesses operate.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:pal:pinchp:978-3-032-03480-9_5
Ordering information: This item can be ordered from
http://www.palgrave.com/9783032034809
DOI: 10.1007/978-3-032-03480-9_5
Access Statistics for this chapter
More chapters in Palgrave Intersections of Business and the Sciences, in association with Gnosis Mediterranean Institute for Management Science from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().