Write in a clean editor, then format for Intelligent Systems in Accounting Finance & Management in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Intelligent Systems in Accounting Finance & Management is a peer-reviewed journal published by Wiley, covering Stock Market Forecasting Methods, Financial Distress and Bankruptcy Prediction, Business Process Modeling and Analysis.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Intelligent Systems in Accounting Finance & Management 12 (3): 45–58.
Formats any DOI in Intelligent Systems in Accounting Finance & Management style. No sign-up. |
| Publishes research in | Stock Market Forecasting Methods Financial Distress and Bankruptcy Prediction Business Process Modeling and Analysis AI-based Problem Solving and Planning Multi-Agent Systems and Negotiation |
| ISSN | 1055-615X |
| h-index | 39 |
| i10-index | 101 |
| Total citations | 5,257 |
| Article processing charge | $2,630 |
| Top institutions publishing here | Korea Advanced Institute of Science and Technology |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
A bstract We present a new approach to evaluation of bankruptcy risk of firms based on the rough set theory. The concept of a rough set appeared to be an effective tool for the analysis of information systems representing knowledge gained by experience. The financial information system describes a set of objects (firms) by a…
This paper uses a Artificial Neural Network (AutoNet) to develop a model for detecting management fraud. The study offers an in-depth examination of important publicly available predictors of fraudulent financial statements. We find a model with a high probability of detecting fraudulent financial statements on one sample. The study reinforces the validity and efficiency of…
This paper uses Artificial Neural Networks to develop a model for detecting management fraud. Although similar to the more widely investigated area of bankruptcy prediction, research has been minimal. To increase the body of knowledge on this subject, we offer an in-depth examination of important publicly available predictors of fraudulent financial statements. We test the…
In this paper we investigate ways to use prior knowledge and neural networks to improve multivariate prediction ability. Daily stock prices are predicted as a complicated real-world problem, taking non-numerical factors such as political and international events are into account. We have studied types of prior knowledge which are difficult to insert into initial network…
Abstract There are many formal approaches to specifying how the mental state of an agent entails the particular actions it will perform. These approaches put the agent at the center of analysis. For some questions and purposes, it is more realistic and convenient for the center of analysis to be the task environment, domain or…
