Artificial Intelligence in Accounting and Auditing : Towards New Paradigms , Volume 4

  • Vasarhelyi M
  • Kogan A
N/ACitations
Citations of this article
75Readers
Mendeley users who have this article in their library.

Abstract

Problems in accounting and finance that can't be solved easily though conventional techniques. Some examples are bankruptcy prediction and the development of strategies to trade (profitably) in stock exchanges. In these cases, one of the alternatives is the use of artificial intelligence systems. This article analyses empirical articles published in journals between 2000 and 2008 that present applications of neural networks, fuzzy logic and genetic algorithms to problems in finance and accounting. After the analysis of 57 articles, this article finds that the most used method is the artificial neural networks (40 articles) and most of the applications are in finance (49 articles). There were just 8 articles about AI systems applied to accounting, what leads to the conclusion that there is still room for new developments in this field of knowledge.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Vasarhelyi, M. A., & Kogan, A. (1997). Artificial Intelligence in Accounting and Auditing : Towards New Paradigms , Volume 4. Artificial Intelligence in Accounting and Auditing, 4, 1–177. Retrieved from http://raw.rutgers.edu/MiklosVasarhelyi/Resume Articles/BOOKS/B13. artificial intelligence.pdf

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 27

63%

Researcher 9

21%

Professor / Associate Prof. 4

9%

Lecturer / Post doc 3

7%

Readers' Discipline

Tooltip

Business, Management and Accounting 26

55%

Economics, Econometrics and Finance 10

21%

Computer Science 9

19%

Engineering 2

4%

Save time finding and organizing research with Mendeley

Sign up for free