Machine Learning Applications For Accounting Disclosure And Fraud Detection

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.

Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities.

The ever-evolving field of management in today's corporate world is marked by constant disruptions and turbulence. The emergence of Artificial Intelligence (AI) and Emotional Intelligence (EI) presents opportunities for automation, optimization, and effective leadership, but it also raises concerns about job displacement and the need to bridge the gap between these two domains. AI and Emotional Intelligence for Modern Business Management: Bridging the Gap and Nurturing Success offers solutions to closing the knowledge gap. This book provides comprehensive insights and practical strategies to academic scholars, researchers, practitioners, educators, and students. Targeting a diverse audience, this book serves as a solution-oriented resource for navigating the complexities of AI and EI in business management. By addressing both AI and EI, the book equips readers with the necessary tools to integrate these domains seamlessly into modern business management practices, stimulating informed discussions, inspiring innovative approaches, and fostering a deeper understanding of the opportunities and challenges posed by these emerging fields.

Despite the evolution of corporate governance in the last 30 years, corporate scandals have not stopped appearing in the media and academic documents. Therefore, this book presents a multidisciplinary study of corporate governance, as its mechanisms to reduce conflicts of interest and risk management must act as preventers of ethical and financial problems. The number of corporate scandals began to grow in the 1960s and peaked in the 1990s. From the first decade of the 2000s onwards, a remarkable evolution has taken place in the regulation market. However, new scandals continued to take place including the Subprime Crisis of 2008. New concepts such as corporate social responsibility (CRS), independence, gender diversity, and shell companies were incorporated. Until 2008 the scandals were mainly financial. Now, cases of corruption, environmental accidents, unsafe working conditions, child labor, and the political influence of power are increasing, which this book intends to address. It is critical to explore methodologies that allow collaboration among companies, regulatory entities, and those that guide their behavior and to ensure that they are consistent with the values of ethics, legality, disclosure, social responsibility, and accountability. Addressing Corporate Scandals and Transgressions Through Governance and Social Responsibility examines the tools of management and control that can be used as enforcement mechanisms of corporate governance and social responsibility and provides critical research on how to improve, discuss, and develop theories around fraud, corruption, ethics, corporate governance, and corporate social responsibility. Covering topics such as corporate scandal, human rights, and business fraud, this publication is ideal for corporate governance and social responsibility professionals such as accountants, auditors, tax officers, counsellors, directors, and managers as well as researchers, investors, and regulatory bodies and authorities.

When the COVID-19 pandemic caused a halt in global society, many business leaders found themselves unprepared for the unprecedented change that swept across industry. Whether the need to shift to remote work or the inability to safely conduct business during a global pandemic, many businesses struggled in the transition to the “new normal.” In the wake of the pandemic, these struggles have created opportunities to study how businesses navigate these times of crisis. The Research Anthology on Business Continuity and Navigating Times of Crisis discusses the strategies, cases, and research surrounding business continuity throughout crises such as pandemics. This book analyzes business operations and the state of the economy during times of crisis and the leadership involved in recovery. Covering topics such as crisis management, entrepreneurship, and business sustainability, this four-volume comprehensive major reference work is a valuable resource for managers, CEOs, business leaders, entrepreneurs, professors and students of higher education, researchers, and academicians.

Corruption is a phenomenon as old as civilization itself within the history of humanity, and it has presented itself in society with different intensities and various nuances. Many authors have described corruption as the action and effect of corrupting or becoming corrupted, but it also includes the use of the functions and means of organizations (public or private) for economic benefit or some other form of benefit. Corruption has thus become one of the main threats to democracy and governance because the principles of good governance are violated and the ethical precepts within society are defied. Management Strategies and Tools for Addressing Corruption in Public and Private Organizations explores the phenomenon of corruption in its entire context, analyzes it as dysfunctionality in the managerial practice of public and private organizations, and provides methods for monitoring, treating, and prevention. Covering topics such as anti-corruption organizational structure, rehabilitation systems, and shadow economy, this book is ideal for academicians, students, government officials, public and private organizations, and more.

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

Globalization is a multi-dimensional concept reflecting the increased economic, social, cultural, and political integration of countries. There has been no pinpointed consensus on the history of globalization; however, the globalization process has gained significant speed as of the 1980s in combination with liberalization. Many countries have removed or loosened barriers over the international flows of goods, services, and production factors. In this context, both liberalization and globalization have led to considerable institutional, economic, social, cultural, and political changes in the world. The liberalization and globalization processes have affected economic units, institutions, cultures, social lives, and national and international politics. The Handbook of Research on Institutional, Economic, and Social Impacts of Globalization and Liberalization provides a comprehensive evaluation of the institutional, economic, and social impacts of globalization and liberalization processes across the world. While highlighting topics like economics, finance, business, and public administration, this book is ideally intended for government officials, policymakers, practitioners, stakeholders, researchers, and academicians interested in the international impacts of globalization and liberalization across a variety of different domains.