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FinTech is encouraging various new practices, such as diminishing the use of cash in different countries, increasing rate of mobile payments, and introducing new algorithms for high-frequency trading across national boundaries. It is paving the way for new technologies emerging in the information technology scene that allow financial service firms to automate existing business processes and offer new products, including crowdfunding or peer-to-peer insurance. These new products cater to hybrid client interaction and customer self-services, changing the ecosystem by increasing outsourcing for focused specialization by resizing and leading to new ecosystems and new regulations for encouraging ...
Recently, cryptology problems, such as designing good cryptographic systems and analyzing them, have been challenging researchers. Many algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so on, have been proposed to solve these issues. Implementing Computational Intelligence Techniques for Security Systems Design is an essential research book that explores the application of computational intelligence and other advanced techniques in information security, which will contribute to a better understanding of the factors that influence successful security systems design. Featuring a range of topics such as encryption, self-healing systems, and cyber fraud, this book is ideal for security analysts, IT specialists, computer engineers, software developers, technologists, academicians, researchers, practitioners, and students.
Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, fi...
The public sector provides services to the public and does not expect to acquire financial gain; hence, the practices from the private sector could not be used efficiently without modification, bearing in mind that the main scope of the public organization is to provide quality services to the citizens. Knowledge management can acquire and transfer knowledge in order to succeed in this effort and to confront challenges that exist in the modern knowledge economy. Therefore, knowledge management can play a vital role in the reorganization of the public sector and its necessary organizational change. Knowledge Management Practices in the Public Sector is a collection of innovative research on the methods and applications of improving the quality of public services through the implementation of knowledge management in public organizations. While highlighting topics including intellectual capital, risk assessment, and organizational strategy, this book is ideally designed for policymakers, ICT consultants, public sector workers, public administrators, government officials, researchers, scholars, and students.
The field of Information Science is intertwined with the complexity present in society. The study object in this field refers to data, information, and knowledge generated, mediated, and appropriated by different individuals in the most diverse human activities. Thus, discussing complex issues that are intertwined with information management, knowledge management, innovation management, organizational intelligence, information mediation, information appropriation, and information literacy is essential for understanding the future perspectives of digital humanity. Role of Information Science in a Complex Society presents discussions that can be applied to local, regional, and national policies aimed at economic and social development and supports innovative actions in economic segments that depend on innovation. Highlighting topics that include information literacy, ethics, knowledge management, and organizational learning, this book is an ideal reference source for academicians, professionals, researchers, and students, as well as entrepreneurs from different economic segments.
The number of practice-based or practice-led doctorate programs continues to grow across the U.S. Doctoral students who seek a terminal practitioner doctorate typically conduct practice-based research within the dissertation research used as the culmination of the degree program. These terminally degreed graduates return to educational practice to improve practice, impact innovation, and solve the complex problems of practice through research-based decision making. Practice-Based and Practice-Led Research for Dissertation Development provides the most current research, innovation, and insights into practice-based research conducted within U.S. practitioner doctorate programs across fields th...
The fast-paced world created by the accessibility of consumer information through internet-generated data requires improved information-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management is a critical research publication that provides insight into the varied and rapidly changing fields of knowledge discovery and information resource management. Highlighting a range of topics such as datamining, artificial intelligence, and risk assessment, this book is essential for librarians, academicians, policymakers, information managers, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information resources management.
No matter the industry, the development of information technologies has transformed how information is distributed and used to predict trends. Collecting and identifying the most vital information, however, requires constant management and manipulation. Current Issues and Trends in Knowledge Management, Discovery, and Transfer is an essential reference source that discusses crucial practices for collaborating and distributing work as well as validating accrued knowledge from real-time data. Featuring research on topics such as dynamic knowledge, management systems, and sharing behavior, this book is ideally designed for academics, researchers, librarians, managing professionals, and students seeking coverage on knowledge acquisition and implementation across systems.
Traditional knowledge is largely oral collective of knowledge, beliefs, and practices of indigenous people on sustainable use and management of resources. The survival of this knowledge is at risk due to various difficulties faced by the holders of this knowledge, the threat to the cultural survival of many communities, and the international lack of respect and appreciation of traditional knowledge. However, the greatest threat is that of appropriation by commercial entities in derogation of the rights of the original holders. Though this practice is morally questionable, in the absence of specific legal provisions, it cannot be regarded as a crime. Intellectual Property Rights and the Prote...
Digital financial services are starting to become increasingly popular with consumers, thereby fostering a favorable climate for digital entrepreneurship: mobile payment, Blockchain, etc. Research trying to understand and explain this phenomenon focuses on FinTech. Some scholars regard “FinTech” as financial innovations that upset the market while others view them as startups, based on financial innovations, that have changed the ecosystem. There are many open-ended questions about FinTech’s business models, how it relates to blockchain, and whether this is a collaborative relationship between traditional financial players or a competitive relationship. Noting the lack of research work...