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"This book identifies drivers of transformation of auditing, including regulation, digitalisation, sustainability, and individual auditor characteristics, and discusses how the drivers affect auditing. It provides a holistic perspective, discussing these current and highly relevant themes in depth and 'one by one' and also stresses the importance of the temporal dimension, i.e., offering a historical and a present-day perspective. The book covers several different theoretical perspectives when analysing and discussing how the various drivers affect auditors, the audit process, accounting firms, stakeholders and so on. Sweden is used as a setting to study the effects of these drivers of transition. The Swedish experience is generalisable to other European countries, with a Germanic origin currently influenced by Anglo-American ideas of auditing. In addition, Sweden provides a research setting with unique access to empirical data. The monograph is unique in its broad coverage of drivers of transformation, combined with its clear focus on financial auditing. It is informed by a wide range of research approaches, from qualitative interview studies to recently developed machine learning methods. Readers, therefore, benefit from a comprehensive understanding of current changes in the audit industry. This will be a useful reference work for students of accounting and auditing, as well as for audit practitioners, including both auditors and regulators, and for researchers"--

Auditing. --- Accounting.

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"With an emphasis on value creation and leadership, this book will help organizations around the globe to build stronger internal audit functions, highlighting the latest risks including COVID-19 and the most cutting-edge tools to assess them. As environmental risks grow in number and complexity, and organizational resources become more constrained, the need to maximize both efficiency and effectiveness in internal auditing (IA) has never been greater. International IA expert Patricia Kaim leverages nearly 30 years' experience to offer real-world solutions to a range of IA issues, including how to: audit key major areas, such as organizational culture, diversity and inclusion, fraud, blockchain, and cyber risk design first-class continuous monitoring improve stakeholder management and add value to a range of auditing activities increase audit speed without compromising on quality develop high-performing IA teams with high agility, emotional intelligence, and morale Auditors, audit executives, and quality assurance professionals in business and government will gain a new understanding of how to add value to their organizations, and a toolkit of best practices in IA design, management, analytics, and more"--

Auditing, Internal. --- Leadership. --- Value.

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Accounting --- Auditing --- Examinations --- Examinations

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This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effective audit program; and more. Today, information technology plays a pivotal role in financial control and audit: most financial data is now digitally recorded and dispersed among servers, clouds and networks over which the audited firm has no control. Additionally, a firm’s data—particularly in the case of finance, software, insurance and biotech firms—comprises most of the audited value of the firm. Financial audits are critical mechanisms for ensuring the integrity of information systems and the reporting of organizational finances. They help avoid the abuses that led to passage of legislation such as the Foreign Corrupt Practices Act (1977), and the Sarbanes-Oxley Act (2002). Audit effectiveness has declined over the past two decades, as auditor skillsets have failed to keep up with advances in information technology. Information and communication technology lie at the core of commerce today and are integrated in business processes around the world. This book is designed to meet the increasing need of audit professionals to understand information technology and the controls required to manage it. This 2nd edition includes updated code and test. Machine learning, AI, and SEC’s EDGAR data are also, improved and updated. The material included focuses on the requirements for annual Securities and Exchange Commission audits (10-K) for listed corporations. These represent the benchmark auditing procedures for specialized audits, such as internal, governmental, and attestation audits. Many examples reflect the focus of the 2024 CPA exam, and the data analytics-machine learning approach will be central to the AICPA’s programs, in the near future.

Statistics. --- Accounting. --- Computer science --- Mathematical statistics. --- Mathematical statistics --- Statistics in Business, Management, Economics, Finance, Insurance. --- Financial Accounting. --- Probability and Statistics in Computer Science. --- Statistics and Computing. --- Mathematics. --- Data processing. --- Auditing --- Bookkeeping.