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.

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.

Knowledge management principles, strategies, models, tools, and techniques have been proven in government, business, and industry. More recently, knowledge management has emerged as an essential enabler for the successful pursuit of scholarly activities in higher education. Knowledge management has significant contributions to make in capturing, storing, processing, and disseminating knowledge between and across these stakeholder entities and their processes to better support these interrelated processes and activities. Given the impetus provided by the United Nations Global Knowledge Economy Policy, institutions worldwide are actively pursuing the use of knowledge management in all facets of social and economic development. The importance of knowledge management research and application in academia is a critical element of this multifaceted endeavor. Enhancing Academic Research and Higher Education With Knowledge Management Principles is a compendium of cutting-edge research on the use of knowledge management in higher education and provides original, theoretical, and application-oriented research within this domain. The book will also provide insights on the management of expertise, knowledge, information, and organizational development in different types of work communities and environments. By including research on global perspectives, the implementation of knowledge management at universities, current trends in the field, and the results, this book is a valuable reference work for professionals and researchers working in the field of information and knowledge management in various disciplines, and academics, analysts, developers, students, technologists, education consultants, higher education administrators, academicians, stakeholders, and practitioners seeking to learn, improve, and expand their theoretical and applied knowledge of knowledge management tools and techniques, models, processes, and systems in higher education.

For the social sciences, the approach and processes in research are quite different. The type of evidence that social scientists can collect is often very dependent on the method that has been used to gather the data. The type of findings that can be discussed are often not straightforward at all, and no easy comparison can be made with the natural sciences, although this is not impossible. The methodology in the social sciences has the same role as technology and lab techniques in the natural sciences as these need to be developed rapidly to account for the increasing complexity of the natural objects to be studied. The methodologies in the social sciences need to go through an intense period of critique, reflection, and reformulation to consider the complexity of social issues under investigation. Therefore, the area of social sciences research and methodologies should continually be studied to advance the field. Approaches and Processes of Social Science Research presents new research methodologies in the social science field and aims at providing a broad introduction to the methodology of social research in its main theoretical foundations as well as in its practical applications. Readers will develop a critical thinking attitude about social problems which in turn will sharpen their analytic approach to research. This book includes four main parts: philosophical perspectives, strategies for conducting research, common approaches for handling and collecting data, and critical aspects of research writing throughout the process. While highlighting topics such as critical theory in research, ethical issues, research processes, data analysis, and more, this book is ideal for researchers in the social sciences and practitioners, stakeholders, academicians, and students interested in deepening their understanding of the ideas and the practices of social science research.

Knowledge management has always been about the process of creating, sharing, using, and applying knowledge within and between organizations. Before the advent of information systems, knowledge management processes were manual or offline. However, the emergence and eventual evolution of information systems created the possibility for the gradual but slow automation of knowledge management processes. These digital technologies enable data capture, data storage, data mining, data analytics, and data visualization. The value provided by such technologies is enhanced and distributed to organizations as well as customers using the digital technologies that enable interconnectivity. Today, the fine line between the technologies enabling the technology-driven external pressures and data-driven internal organizational pressures is blurred. Therefore, how technologies are combined to facilitate knowledge management processes is becoming less standardized. This results in the question of how the current advancement in digital technologies affects knowledge management processes both within and outside organizations. Digital Technology Advancements in Knowledge Management addresses how various new and emerging digital technologies can support knowledge management processes within organizations or outside organizations. Case studies and practical tips based on research on the emerging possibilities for knowledge management using these technologies is discussed within the chapters of this book. It both builds on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. This book highlights topics such as human-robot interaction, big data analytics, software development, keyword extraction, and artificial intelligence and is ideal for technology developers, academics, researchers, managers, practitioners, stakeholders, and students who are interested in the adoption and implementation of new digital technologies for knowledge creation, sharing, aggregation, and storage.

Social innovation is identified as a mechanism response to burning social challenges and the evolution of hybrid organizations such as social enterprises. As a result, there is an overwhelming growing interest among researchers, policymakers, and practitioners to know more about the significant concept of social innovation. Despite this significance, it is often argued that the meaning of social innovation is ambiguous and vague with theory lagging social innovation practice as the field is nascent, emerging, and remains underdeveloped. This may impede the research endeavors of conceptualizing and establishing its socio-economic underpinnings and the legitimization of the field. Theoretical and Practical Approaches to Social Innovation illuminates and consolidates multiple views of social innovation theory, research, and practice, which to date have not been presented in one publication. The book provides an in-depth theoretical and practical understanding coupled with an assessment of the current research in multidisciplinary perspectives complemented by case studies representing each knowledge cluster in social innovation research. In this unique way, this book links theory to practice demonstrating praxis. While highlighting topics such as social enterprise, urban studies, management, ecological resilience, and social policy and networks, this book is ideal for students, academics, practitioners, researchers, and entrepreneurs looking to expand their knowledge, skills, and passion, and to sustainably pursue their social missions to bring about real social change that can transform communities and ignite innovative approaches to solving social challenges.

This book presents a foray into the fascinating process of risk management, beginning from classical methods and approaches to understanding risk all the way into cutting-age thinking. Risk management by necessity must lie at the heart of governing our ever more complex digital societies. New phenomena and activities necessitate a new look at how individuals, firms, and states manage the uncertainty they must operate in. Initial chapters provide an introduction to traditional methods and show how they can be built upon to better understand the workings of the modern economy. Later chapters review digital activities and assets like cryptocurrencies showing how such emergent risks can be conceptualized better. Network theory figures prominently and the book demonstrates how it can be used to gauge the risk in the digital sectors of the economy. Predicting the unpredictable black swan events is also discussed in view of a wider adoption of economic simulations. The journey concludes by looking at how individuals perceive risk and make decisions as they operate in a virtual social network. This book interests the academic audience, but it also features insights and novel research results that are relevant for practitioners and policymakers.