How Auditors or Accountants Can Detect and Prevent Payroll Fraud Through an Expert System
Hardcover, 54 Pages
List Price: $27.16
You Save: $8.15 ( 30% )
Prints in 3-5 business days
The book is written with the objective of automating the audit decision in detecting variations or exceptional data between the current and preceding month in payroll processing, using an Expert System. Expert systems are in the category of Artificial Intelligence (AI) application. They are now in the class of electronic spreadsheets and are commercially available and affordable having been in existence since the 1970s. The necessary steps to the development of an expert system have been covered. The payroll audit decision expert system is therefore highly commended to Auditors or Accountants seeking to detect and prevent Payroll fraud through an Expert System.
Ratings & ReviewsLog in to review this item
1 Person Reviewed This Product
Apr 21, 2014Review No. 1."I have read through the edited version of your book. I write to confirm that it is well- written and the language used was quite explicit. I found it easily understandable, even as a non-accountant. However, I have listed ----- a few comments/suggestions which, if incorporated in the body of the manuscript, will enhance the overall quality of the presentation. References were adequately and accurately presented. [There are] adequate number of appendices.” Prof. J.O. Oyewale, Department of Veterinary Physiology, Biochemistry and Pharmacology, University of Ibadan, Ibadan, Nigeria. Review No. 2. “I wish to commend you [Mr. Oniyilo] for writing the book. I have gone through your book and wish to offer the following comment: In Chapter One, you began to describe the structure of the book which you could have in an Executive Summary which you should avoid in a book of this nature. The structure of the book is already laid out in the Table of Content. This is a good book... More > and I wish you success in all your endeavor. Best wishes.” P.O. Omoregie, JP, BSc (Hons), FCA GIFMIS/FTA Training Advisor, Past Registrar/Chief Executive, Institute of Chartered Accountants of Nigeria (ICAN) and Former Bursar, University of Ibadan, Nigeria. Review No. 3. “The above named text is authored by Titus B. Oniyilo. It is a five chapter monograph of forty-five pages with a figure on “Architecture of an expert system” and a list of ten appendices to help readers to understand how to prevent payroll fraud. Payroll inconsistencies lead to fraud and loss of billions and not millions anymore as indicated by the author. An expert system should be able to stop totally payroll fraud and not just reduce it to the minimum. The author in his literature review recorded many expert systems used to curb financial fraud. He employed Exsys Corvid System as an expert method for payroll audit to use. He enumerated how it can be best used. User of this method must be able to compare items of payroll input for each employee in order to monitor variances from period to period between the preceding and current month. Failure to identify any problem from this would lead to fraud. The text contains accounting, computer and audit technicalities and will be easily understood by those who have minimum of elementary knowledge of all.” Prof. David A. Aremu, Archaeology and Anthropology and Centre for Sustainable Development, University of Ibadan.< Less
There are no reviews for previous versions of this product
- Titus Oniyilo (Standard Copyright License)
- First Edition
- Titus Oniyilo
- March 30, 2014
- Hardcover (dust-jacket)
- Interior Ink
- Black & white
- 0.36 lbs.
- Dimensions (inches)
- 6 wide x 9 tall
- Product ID
Your notification has been sent
Lulu Staff has been notified of a possible violation of the terms of our Membership Agreement. Our agents will determine if the content reported is inappropriate or not based on the guidelines provided and will then take action where needed.
Thank you for notifying us. We will email you with the results and/or actions taken as a result of the investigation if you chose to receive confirmation.
We were unable to complete your request.
We were unable to complete your request.
The page you are attempting to access contains content that is not intended for underage readers.
Please verify your birth date to continue.