With the dawn of electronic databases, information technologies, and the Internet, organizations, now more than ever, have easy access to all the knowledge they need to conduct their business. However, utilizing and detecting the beneficial information can pose as a challenge. Enhancing Knowledge Discovery and Innovation in the Digital Era is a vibrant reference source on the latest research on student education, open information, technology enhanced learning (TEL), and student outcomes. Featuring widespread coverage across a range of applicable perspectives and topics, such as engineering education, data mining, and 3D printing, this book is ideally designed for professionals, upper-level students, and academics seeking current research on knowledge management and innovation networks.

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.

This edited volume examines the implications of COVID-19 on distance and online learning, discussing how the move to online teaching and learning modes proved to be a source of immense institutional, organizational, and educational challenges. With chapters grounded in theoretical and methodological approaches pertinent to education and pedagogy, the book explores the relevance of theory to the educational situation brought about by the pandemic and highlights the specific issues and challenges that distance learning has to account for in crisis situations. Key topics discussed include innovations and best practices in online learning, research, and management; developments in computer-supported collaborative learning, training, and research; the use of intelligent tutoring and mentoring systems in times of crisis; the role of university leadership and users’ perceptions and attitudes to online teaching and learning. The book offers fresh insights into the specificity of distance learning in a pandemic and its effects in established working patterns. It will be highly relevant reading for academics, researchers, and post-graduate students in the fields of online learning, distance learning, educational technology, and pedagogy, as well as university administrators and those directly involved in online teaching.

With the immense growth of information, the prevalence of ubiquitously connected smart devices is rapidly increasing. Providing platforms that support computation, storage, and networking services between end devices is an essential aspect of an expanding digital society. The Rise of Fog Computing in the Digital Era provides innovative insights into the present generation of computing devices, as well as new approaches to computational platforms through fog computing. The content within this publication presents concepts and theories on data analytics, management systems, networking architectures, and many more. It is a vital reference source for IT professionals, computer programmers, software developers, computer engineers, researchers, and upper-level students seeking topics centered on the challenges and benefits of fog computing in mobile environments.

The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: · Social Networks · Smart Education · Social Capital · Corporate Innovation · Disruptive Innovation · Knowledge integration · Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION In this section, knowledge management and big data applications and systems are presented. Selective topic include: · Crowdsourcing Analysis · Natural Language Processing · Data Governance · Knowledge Extraction · Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: · Big Social Networks on Sustainable Economic Development · Business Intelligence

This book explores the effective use of information and communication technology (ICT) in teaching and learning. Concept-laden and practice-driven discussions offer insights into the art and practice of employing virtual and augmented reality (VR/AR), electronic devices, social networks and massive open online courses (MOOCs) in education.

The experts and practitioners contributing to this volume reveal a complex reality of HEI today. The book links the debate on education to topical issues in politics, society and economy, including questions of technological progress, social responsibility, sustainability, well-being and, broadly understood, resilience.

Organizations are showing a remarkable interest in realizing knowledge management technologies and processes to adopt knowledge management as part of their overall strategy. However, even with the current advancement in technology, few organizations are entirely capable of developing critical organizational knowledge to achieve improved performance. Technological Innovations in Knowledge Management and Decision Support is a vital research publication that examines different knowledge management areas for organizational competitiveness, survival, and effectiveness. It also provides cutting-edge research techniques in related optimization methods and other automated techniques in real-world processes. Featuring a broad range of topics such as enterprise resource planning, neural networks, and image segmentation, this book is a critical resource for managers, IT specialists, healthcare and social sciences professionals, engineers, academicians, and researchers seeking research on effective knowledge management systems.

The ways in which codified and tacit knowledge are sourced, transferred, and combined are critical in furthering open innovation. When used effectively, knowledge sharing and organizational success are significantly increased, improving products and services. The Role of Knowledge Transfer in Open Innovation is a collection of innovative research on a set of analyses, reflections, and recommendations within the framework of knowledge transfer practices in different areas of knowledge and in various industries. While highlighting topics including tacit knowledge, organizational culture, and knowledge representation, this book is ideally designed for professionals, academicians, and researchers seeking current research on the best practices for transfer of knowledge as an intermediate open innovation.

In the evolving environment of education, academic scholars face the daunting challenge of navigating a multitude of pedagogical approaches and technologies. The design of effective learning activities demands a nuanced understanding of didactic innovation, instructional design, and the integration of technology. As educators strive to meet the diverse needs of learners, the demand for innovative solutions to enhance teaching methodologies becomes more pressing than ever. Technological Tools for Innovative Teaching emerges as a comprehensive solution to the challenges educators encounter in the modern academic arena. The book unravels the intricacies of pedagogical scenarios, providing a step-by-step guide to designing learning activities that align with educational objectives. By addressing topics such as the pedagogy of error, flipped classroom strategies, and tech pedagogy, the book equips scholars with a diverse toolkit to revolutionize their teaching methods.