Auditing Ecosystem And Strategic Accounting In The Digital Era

This book examines current topics and trends in strategic auditing, accounting and finance in digital transformation both from a theoretical and practical perspective. It covers areas such as internal control, corporate governance, enterprise risk management, sustainability and competition. The contributors of this volume emphasize how strategic approaches in this area help companies in achieving targets. The contributions illustrate how by providing good governance, reliable financial reporting, and accountability, businesses can win a competitive advantage. It further discusses how new technological developments like artificial intelligence (AI), cybersystems, network technologies, financial mobility and smart applications, will shape the future of accounting and auditing for firms.​

This book explores how digital transformation is reshaping the manner in which higher education sectors emerge, work, and evolve and how auditors should respond to this challenging and risky digital audit universe in transforming the higher education system. It serves to help professionals to understand the reality of performing the Chief Audit Executive (CAE) role in today’s evolving business economy, specifically in the higher education sector. It compares and contrasts the stated IIA standards with the challenges and realities auditors may face and provides alternative scenarios to gaining a "seat at the table." This book also provides insight into critical lessons learned when executing the CAE role relevant for digitally transforming universities. The main purpose of this study is to rethink the audit culture in the digital era and reveal the key characteristics that are open for improvement so that digitally transforming universities can be audited according to the higher education standards with a digitally supported value-added audit approach. Based on this approach, the audit culture is reassessed considering the digital university conceptual framework and business model. There are two main points to consider for the digital university work environment: traceability and auditability. In this respect, policy recommendations are made for best practices to achieve value-added digital audits in transforming universities. The book has been written from both the reality and academic perspectives of two experienced authors. Sezer is a past CAE, CEO, and long-term senior internal auditor who has worked in the internal audit role for various listed companies, financial institutions, and government entities. Erman has extensive information technology and university accreditation knowledge in the global higher education sector. This brings a blend of value-added approaches to the readers and speaks to issues about understanding and dealing with audit culture and business evolution in digitally transforming organizations along with the requirements for upholding IIA standards. Geared toward the experienced or new CAE, University Auditing in the Digital Era: Challenges and Lessons for Higher Education Professionals and CAEs can be a tool for all auditors to understand some of the challenges, issues, and potential alternative solutions when executing the role of university auditing. In addition, it can be a valuable reference for university administrators and CIOs, as well as academics and all stakeholders related to the higher education sector.

This book analyses and discusses current issues and trends in finance with a special focus on technological developments and innovations. The book presents an overview of the classical and traditional approaches of financial management in companies and discusses its key strategic role in corporate performance. Furthermore, the volume illustrates how the emerging technological innovations will shape the theory and practice of financial management, focusing especially on the decentralized financial ecosystems that blockchain and its related technologies allow.

Throughout the world, artificial intelligence is reshaping businesses, trade interfaces, economic activities, and society as a whole. In recent years, scholarly research on artificial intelligence has emerged from a variety of empirical and applied domains of knowledge. Computer scientists have developed advanced deep learning algorithms to leverage its utility in a variety of fields such as medicine, energy, travel, education, banking, and business management. Although a growing body of literature is shedding light on artificial intelligence-enabled difficulties, there is still much to be gained by applying fresh theory-driven techniques to this vital topic. Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments provides a comprehensive understanding of the business systems, platforms, procedures, and mechanisms that underpin different stakeholders' experiences with reality-enhancing technologies and their transformative application in management. The book also identifies areas in various business processes where artificial intelligence intervention would not only transform the business but would also make the business more sustainable. Covering key topics such as blockchain, business automation, and manufacturing, this reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

This book unlike any other previous book provides a platform for scholars and researchers to present the latest insights and findings on the application of artificial intelligence and other sustainable technologies for a human-centric society. It brings together technology with society with special attention given to AI and IoT-related intricacies for a digital economy. It covers a variety of research topics including block ciphers, network marketing for sustainability entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system. The book is a comprehensive reference work for scholars, academics, policymakers, students, and professionals presenting an overall understanding of AI, its present and future trends, and presents a discourse on important policies and strategies on inclusivity, diversity, bias, accountability, security, metaverse applications of AI, and other technologies such as IoT.

This encyclopedia is the most comprehensive and up-to-date source of reference for sustainability in business and management. It covers both traditional and emerging concepts and terms and is fully international in its scope. More than 700 contributions of internationally renowned experts provide a definitive access to the knowledge in the area of sustainable and responsible management. All actors in the field will find reliable and up to date definitions and explanations of the key terms and concepts of management in this reference work. The Encyclopedia of Sustainable Management represents all aspects of management and business conduct. It takes sustainability as a management concept that gives due credit to the complexity and diverging constraints in which businesses and corporations act today, and it emphasizes and focuses approaches that help ensure that today's management decisions and actions will be the basis for tomorrow's prosperity.

In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.