Detecting Fraud in Organizations. Techniques, Tools, and Resources

IS YOUR NONPROFIT VULNERABLE TO FRAUD? Fraud or embezzlement discovered within a major corporation ultimately leads to front-page scandals and a few raised eyebrows. But the mere suggestion or evidence of fraud within a nonprofit can cause irreversible damage to its reputation, its support base, and, eventually, its very existence. Preventing Fraud in Nonprofit Organizations is the proactive manual your organization needs to detect fraud and prevent it from affecting your organization's bottom line and name. Brimming with details of hundreds of actual fraud and embezzlement schemes, it provides specific, practical advice on strengthening the areas in which your nonprofit may be most vulnerable. This hands-on guide shows nonprofit accountants, CFOs, financial consultants, board members, and managers how to: * Know the four consistent areas of high risk * Thoroughly evaluate their organization's system of internal controls * Assemble a fraud examination team * Document a fraud action plan * Expose weaknesses that could lead to fraud * Take corrective action to reduce the possibility of victimization Fraud deterrence is not exclusive to large corporations. Recommended reading for nonprofit professionals, Preventing Fraud in Nonprofit Organizations will motivate executives to take a fresh and intensive look at their organization's practices and act to protect from financial dishonesty.

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

A straightforward guide explaining the nature of financial fraud Fraud continues to be one of the fastest growing and most costly crimes in the United States and around the world. The more an organization can learn about fraud in general and the potential fraud risks that threaten the financial stability of the organization's cash flow, the better that organization will be equipped to design and implement measures to prevent schemes from occurring in the first place. Fraud 101, Third Edition serves as an enlightening tool for you, whether you are a business owner or manager, an accountant, auditor or college student who needs to learn about the nature of fraud. In this invaluable guide, you will discover and better understand the inner workings of numerous financial schemes and internal controls to increase your awareness and possibly prevent fraud from destroying your organization's financial stability. It offers guidance, understanding, and new, real-world case studies on the major types of fraud, including An understanding of why fraud is committed An overview of financial fraud schemes White-collar crime Uncovering employee embezzlements Establishing internal fraud controls The nature of collecting evidence With case studies included throughout the book to gain insight to the real world of fraud, Fraud 101, Third Edition describes the features of fraud and then provides proven methods of prevention, as well as solutions to expose different types of fraud.

A how-to guide for the discovery and prevention of the illegal transfer of money Written for the private sector—where most money laundering takes place—this book clearly explains shows business professionals how to deter, detect, and resolve financial fraud cases internally. It expertly provides an understanding of the mechanisms, tools to detect issues, and action lists to recover hidden funds. Provides action-oriented material that will show how to deter, detect, and resolve financial fraud cases Offers an understanding of the mechanisms, tools to detect issues, and action list to recover hidden funds Covers mechanisms for moving money, identifying risk exposures, and investigating money movement Arming auditors, investigators, and compliance personnel with the guidance that, up until now, has been restricted to criminal investigators, Money Laundering Prevention provides nuts-and-bolts information needed to fully understand the money laundering process.

Unique insights into the nature of fraud and how to expose it It's not enough to wait for a tip to expose corporate fraud. Fraud 101, Second Edition provides step-by-step guidance on how to perform detection procedures for every major type of fraud. Its new and detailed case studies reveal how easy it can be for a perpetrator to commit a fraud and how difficult it can be to prosecute. This new edition also offers expanded coverage of financial statement fraud, fraud-specific internal control, and Sarbanes-Oxley.

Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

Since the first edition was published in 1997, Human Resources Management for Public and Nonprofit Organizations has become the go-to reference for public and nonprofit human resources professionals. Now in its fourth edition, the text has been significantly revised and updated to include information that reflects changes in the field due to the economic crisis, changes in federal employment laws, how shifting demographics affect human resources management, the increased use of technology in human resources management practices, how social media has become embedded in the workplace, and new approaches to HRM policy and practice. Written by Joan E. Pynes—a noted expert in public administration—this authoritative work shows how strategic human resources management is essential for managing change in an increasingly complex environment. The book Includes new material on workplace violence and employee discipline Reviews updates on the legal environment of HRM Contains suggestions for managing a diverse workforce Offers a wealth of revised tables and exhibits Updates the most recent developments in collective bargaining in the public and nonprofit sectors Outlines the most current approaches to recruitment and selection Presents an overview of recent information on compensation and benefits Gives an update of the technological advances used for strategic human resources management Provides examples of HRM policies from other countries The book also includes an enhanced instructor's guide with examination questions, PowerPoint® slides, experiential exercises, and video vignettes that are coordinated with chapters in the book.

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

Praise for Developing and Enhancing Teamwork in Organizations «Few questions are more vital and important than teamwork, in an increasingly interdependent and connected world. This volume is a unique and essential reference for managers, scholars and anyone interested in enhancing team performance. The combination of vivid real-world examples with thoughtful evidence-based frameworks will make a lasting contribution to the study and practice of team-based management.» —John Boudreau, Professor of Management and Organization, USC Marshall School of Business «Excellent practice insights from leading practitioners and academics. A valuable contribution to our knowledge concerning how to create and manage teams.» —Ed Lawler, Director of Center for Effective Organizations