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 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.

In an era marked by unprecedented technological advancements, the retail industry is at the forefront of a transformative journey. This work delves into the dynamic interplay between cutting-edge technologies and the evolving landscape of retail commerce.

The effectiveness of internal audit activities is important for the sustainability of change in the public sector. In this sense, the tools and techniques used and the level of competencies of public sector auditors are decisive. This book deals with the effects of current technological developments in the public sector on auditing and risk management activities. Therefore, it is a resource for public internal auditors to create a digital audit strategy based on artificial intelligence (AI) and blockchain-based applications. Institutionalisation of their structures is important for public sector internal auditors. For this, basic requirements, future expectations, and best practices are explained. The digital business model is presented to produce value-added audit findings and outputs that guide public internal auditors and all digital-era stakeholders. This book is a pioneering work based on continuous auditing/continuous monitoring approaches using various AI and blockchain-based tools and techniques. There is nothing more valuable to the success of a public internal auditor than a detailed understanding of the business. The important lesson in developing business knowledge, especially in the new audit universe emerging with digital transformation, is that all auditors must understand that they never finish learning about business processes, risks, and control points in the digital era. They must constantly push themselves to be motivated and learn about the business operations they audit to implement new audit approaches powered by AI. In addition to obtaining up-to-date business information from process owners and stakeholders, public auditors responsible for conducting an AI-based continuous audit programme should also look inside their departments for a different perspective on business information that impacts continuous audit programme phase details and has the potential to add value. It should be noted that the additional source of information begins with your individual audit experience, digital skills, and qualifications.