Information Technology Auditing

Gain a thorough understanding of how modern audits are conducted in today's computer-driven business environment with Information Technology Auditing, 4E. You gain valuable insights into state-of-the-art auditing issues as this leading accounting text provides you with the background you need to succeed in today's business world.

This edition focuses on the latest information technology aspects of auditing with up-to-date coverage of auditor responsibilities, emerging legislation, and today's fraud techniques and detection. Expanded end-of-chapter questions, problems, and cases give you important hands-on practice for success in your future career.

New to the Edition

• Significantly Revised End-of-Chapter Material Reflects New Chapter Content. Virtually all multiple-choice questions and most of the problems are new or revised. Corresponding solutions in the Solutions Manual accurately reflect the problem requirements. In particular, all internal control and fraud case solutions are consistent and accurately reflect the cases in the text. All case solution flowcharts are numerically coded and cross-referenced to the text. This classroom-tested approach facilitates the effective presentation of internal control and fraud case materials.



• Updated Overview and Initial Five Chapters Present The Latest General Control and Audit Issues. An Updated Chapter 1, "Auditing, Assurance, and Internal Control," overviews IT audit issues and auditor responsibilities that follow Sarbanes-Oxley (SOX) legislation, the COSO internal control model, and SAS 109. Revised Chapters 2, 3, 4, and 5 present general control and audit issues in accordance with SOX and COSO frameworks.



• Extensively Revised Chapter Provides Working Understanding of Data Modeling Techniques. Today's accountant must be equipped to access invoices stored on normalised database tables, which requires understanding relational database structures. Chapter 8 now addresses this growing need for modern auditors to understand data modeling techniques. The chapter presents key characteristics of the relational database model, including data modeling, deriving relational tables from entity relationship (ER) diagrams, the creation of user views, and data normalisation techniques.



• Expanded Material Details Auditor Responsibilities and Fraud Techniques. An updated Chapter 12, "Ethics, Fraud Schemes and Fraud Detection," introduces how auditors detect fraud. Expanded coverage addresses a wide range of contemporary fraud techniques.

About the Author

James A. Hall is a Professor of Accounting, Co-Director of the Computer Science and Business program, and the Peter E. Bennett Chair in Business and Economics at Lehigh University in Bethlehem, PA. After his discharge from the U.S. Army, he entered the University of Tulsa in 1970 and received a BSBA in 1974 and an MBA in 1976. He earned his Ph.D. from Oklahoma State University in 1979. Hall has worked in the field of systems analysis and computer auditing, and has served as consultant in these areas to numerous organizations. Dr. Hall has published articles in the JOURNAL OF ACCOUNTING, AUDITING & FINANCE, JOURNAL OF MIS, COMMUNICATIONS OF THE ACM, JOURNAL OF MANAGEMENT SYSTEMS, MANAGEMENT ACCOUNTING, JOURNAL OF COMPUTER INFORMATION SYSTEMS, THE JOURNAL OF ACCOUNTING EDUCATION, THE REVIEW OF ACCOUNTING INFORMATION SYSTEMS, and other professional journals. He is also the author of ACCOUNTING INFORMATION SYSTEMS, 9E, published by South-Western College Publishing. His research interests include internal controls, computer fraud, and IT outsourcing.