A savvy examination of where people and value meet, creating the opportunity for fraud An essential reference for all business professionals, Detecting Fraud in Organizations: Techniques, Tools, and Resources explains the process of how people commit fraud, as well as how to prevent and stop fraud from occurring in your organization. Organized by business processes which succinctly describe how fraud manifests itself on a daily basis, the authors explain ways in which everyone can help guard against fraud by familiarizing themselves with its building blocks and methods used to perpetrate and conceal it. Filled with situational examples the book is accompanied by a website featuring fraud simulations, business process maps, and other useful tools for combating fraud. Focuses on the people who perpetrate fraud and those who are tasked with preventing and detecting it Uniquely organized by business processes for more relevance and easier understanding by those people working within organizations Shows how subtle factors play a large role in identifying and ferreting out fraud in addition to the traditional knowledge of fraud schemes giving people and organizations the edge they need to be successful in prevention and deterrence Companion website includes additional fraud simulations, business process maps, and useful tools The price of fraud can be devastating to your business. Detecting Fraud in Organizations: Techniques, Tools, and Resources equips you and others in your organization with essential information and tools necessary to proactively catch fraud, reduce losses, improve efficiencies and develop actionable controls.

Norman Katz has secured a top spot as one of the Top 50 Global Thought Leaders and Influencers on Supply Chain 2020. For most large organizations, the supply chain is a commercial advantage, enabling innovation, cost management and resilience. But the supply chain is open to fraud: the length and complexity of it creates opportunities for fraudsters to exploit phantom inventory, invent non-existent customers or suppliers, substitute one product for another, cheat on the quality...this list goes on. These frauds present a significant source of additional cost to the organization and expose it to a host of secondary risks: contract, compliance and reputation. Detecting and Reducing Supply Chain Fraud is a pragmatic guide to identifying and managing sources of risk. Norman A. Katz explains the main categories of fraud risk: what they are, what is their significance and how they are exploited by the fraudster. He also explores both the tactical and strategic approaches that you should adopt to help detect and reduce fraud, including detection techniques and the use of technology. He provides tactics for increasing your organization's resilience: increased transparency, appropriate governance, and engaging employees, customers and suppliers in more ethical work practices. If you are responsible for your organization's supply chain, or perhaps involved in audit, compliance or risk management, start using Detecting and Reducing Supply Chain Fraud and look more closely at every aspect of your supply chain, both internal and external. The savings made in fraud reduction, the increased resilience you will give all of your operations and the improved reputation that your business will enjoy, as a contract partner or amongst stakeholders, will repay your investment a hundred-fold.

The gold standard in textbooks on forensic accounting, fraud detection, and deterrence In the newly revised third edition of Forensic Accounting and Fraud Examination, a team of renowned educators provides students and professionals alike with a comprehensive introduction to forensic accounting, fraud detection, and deterrence. Adhering to the model curriculum for education in fraud and forensic accounting funded by the US National Institute of Justice, this leading textbook offers real-world practicality supported by effective learning pedagogies and engaging case studies that bring technical concepts to life. Covering every key step of the investigative process, Forensic Accounting and Fraud Examination contains 32 integrated IDEA and Tableau software cases that introduce students to the practical tools accounting professionals use to maximize auditing and analytic capabilities, detect fraud, and comply with documentation requirements. Numerous case summaries, “The Fraudster’s Perspective” boxes, and detailed discussions of a wide range of accounting issues provide students and practitioners with the tools they’ll need to successfully investigate, prosecute, research, and resolve forensic accounting issues and financial fraud. The perfect resource for students of forensic accounting and fraud examination, as well as practitioners in the field, Forensic Accounting and Fraud Examination, Third Edition, will also prove invaluable for academics and researchers with an interest in the subject.

The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.

Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates

Payment fraud can be defined as an intentional deception or misrepresentation that is designed to result in an unauthorized benefit. Fraud schemes are becoming more complex and difficult to identify. It is estimated that industries lose nearly $1 trillion USD annually because of fraud. The ideal solution is where you avoid making fraudulent payments without slowing down legitimate payments. This solution requires that you adopt a comprehensive fraud business architecture that applies predictive analytics. This IBM® Redbooks® publication begins with the business process flows of several industries, such as banking, property/casualty insurance, and tax revenue, where payment fraud is a significant problem. This book then shows how to incorporate technological advancements that help you move from a post-payment to pre-payment fraud detection architecture. Subsequent chapters describe a solution that is specific to the banking industry that can be easily extrapolated to other industries. This book describes the benefits of doing fraud detection on IBM System z®. This book is intended for financial decisionmakers, consultants, and architects, in addition to IT administrators.

This volume examines the causes and consequences of crime and corruption in organizations, and the choices we face in our efforts to eradicate these social maladies. This is the most up-to-date thinking on both classic and novel approaches to crime and corruption, and covers the most scientifically-grounded approaches to reducing illicit behaviour in organizations.

Detect accounting fraud before it’s too late Accounting fraud is the deliberate manipulation of accounting records in order to make a company's financial performance seem better or worse than it actually is. Accounting scandals often have catastrophic consequences for shareholders and employees. Thus, analysts and auditors must be equipped to detect accounting fraud. This book is a comprehensive guide to detecting accounting fraud for auditors investigating accounting fraud and analysts/managers seeking to prevent it. A wide variety of warning signs are described, as are several techniques for detecting and addressing fraud. Understand the motivations and warning signs behind accounting fraud Get to know how accounting fraud is done and how to detect it Avoid the losses that often come from accounting fraud Benefit from case studies throughout to that help illustrate the author's points It’s unfortunate that managers, auditors, and analysts must be wary of accounting fraud—but this book equips you with the know-how to detect it before it’s too late.