This book focuses on understanding Innovation in the Financial Services Sector. The collection of contributions gathered in the book highlights the importance of technology contexts that pertain to Finance, accounting, and the law arena. The respective chapters address topics such as Economic development, social entrepreneurship, Online Behaviour, Digital entrepreneurship, and Islamic banks. All contributions are based on the latest empirical and theoretical research and provide key findings and concrete recommendations for scholars, entrepreneurs, organizations, and policymakers.
This book explores current digitalization issues in finance and accounting with particular focus on emerging and transitioning markets. It features models, empirical studies and cases studies on topics such as Fintech, blockchain technology, financing renewable energy, and XBRL usage from sectors such health care, pharmacology, transportation, and education. Such a complex view of current economic phenomena makes the volume attractive not only for academia, but also for regulators and policy-makers, when deliberating the potential outcome of competing regulatory mechanisms.
This book explores the economic analysis of intellectual property law, with a special emphasis on the Law and Economics of informational goods in light of the past decade’s technological revolution. In recent years there has been massive growth in the Law and Economics literature focusing on intellectual property, on both normative and positive levels of analysis. The economic approach to intellectual property is often described as a monolithic, coherent approach that may differ only as it is applied to a particular case. Yet the growing literature of Law and Economics in intellectual property does not speak in one voice. The economic discourse used in legal scholarship and in policy-making encompasses several strands, each reflecting a fundamentally different approach to the economics of informational works, and each grounded in a different ideology or methodological paradigm. This book delineates the various economic approaches taken and analyzes their tenets. It maps the fundamental concepts and the theoretical foundation of current economic analysis of intellectual property law, in order to fully understand the ramifications of using economic analysis of law in policy making. In so doing, one begins to appreciate the limitations of the current frameworks in confronting the challenges of the information revolution. The book addresses the fundamental adjustments in the methodology and underlying assumptions that must be employed in order for the economic approach to remain a useful analytical framework for addressing IPR in the information age.
This book presents the proceedings of the 2020 International Conference on Integrated Science in Digital Age, which was jointly supported by the Institute of Certified Specialists (Russia) and Springer, and was held on May 1–3, 2020. The conference provided an international forum for researchers and practitioners to present and discuss the latest innovations, trends, results, experiences and concerns in the various areas of integrated science in the digital age. The main goal of the conference was to efficiently disseminate original findings in the natural and social sciences, covering topics such as blockchain & cryptocurrency; computer law & security; digital accounting & auditing; digital business & finance; digital economics; digital education; digital engineering; machine learning; smart cities in the digital age; health policy & management; and information management.
In an increasingly globalized and diverse business landscape, effective leadership strategies for managing diversity have become pivotal for organizational success. Leaders are challenged today to answer the question: how can they use the principles of proactive diversity management to ensure that every employee feels valued and empowered, regardless of their cultural background? Leadership Strategies for Effective Diversity Management offers a profound exploration of methods that leaders can use to harness the power of diversity to cultivate innovative and harmonious work environments. Rooted in scholarly research and practical insights, this book delves into the multifaceted realm of diversity management, focusing on the vital role that leadership plays in fostering an inclusive and thriving workplace. It emphasizes the significance of understanding the intricacies of a diverse workforce through data analysis, akin to deciphering a roadmap. It guides leaders in interpreting workforce demographics and dynamics, enabling them to tailor strategies that celebrate individual contributions. Moreover, the book underscores the acquisition of cultural competencies as a cornerstone of effective diversity management. Leaders are encouraged to navigate cultural nuances, promote open dialogue, and bridge gaps to create an atmosphere where distinct viewpoints are not only acknowledged but also embraced. Tailored to multinational organizations, visionary leaders, and seasoned practitioners, this book presents a holistic perspective on diversity management, particularly relevant in the context of emerging economies. By revealing the intricate interplay between leadership, diversity, and global dynamics, the book serves as a guide for organizations expanding their reach across international borders.
In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.
