This book constitutes the thoroughly revised selected papers of the 8th International Conference on Information and Communication Technology in Teaching and Learning, ICT 2013, held in Hong Kong, China, in July 2013. The 21 revised papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections such as management and application of open education resources, application of ICT in support of knowledge sharing, application of mobile devices and social media to knowledge sharing, knowledge sharing for teaching and learning.

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.

"This book explores and defines the relationship between organizational culture and knowledge management, identifying strategies and best practices to aid practitioners in implementing successful knowledge management strategies, especially during times of crisis like major digital transformations brought on by the Covid-19 pandemic"--

The value of an organization is given not just by its tangible assets but also by the knowledge embodied in its employees and in its internal and external structures. While explicit knowledge can be shared as information and is easy to handle, this tacit knowledge has been neglected by effectiveness-oriented management techniques but is crucial for both the operational efficiency and the core competencies of an organization. This book provides a survey of the use of information technology for knowledge management, and its chapters present specific research on how technologies such as computer-supported cooperative work (CSCW), workflow, and groupware can support the creation and sharing of knowledge in organizations.

Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.

The editors are experienced, well published authors in the area of innovation and economic development. This book offers a wide coverage of issues within Europe.

This book constitutes the thoroughly revised selected papers of the 8th International Conference on Information and Communication Technology in Teaching and Learning, ICT 2013, held in Hong Kong, China, in July 2013. The 21 revised papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections such as management and application of open education resources, application of ICT in support of knowledge sharing, application of mobile devices and social media to knowledge sharing, knowledge sharing for teaching and learning.