This book discusses emerging trends in the field of managing knowledge work due to technological innovations. The book is organized in 3 sections. The first section, entitled "Managing Knowledge, Projects and Networks", discusses knowledge processes and their use, reuse or generation in the context of an organization. The second section, entitled "Managing Knowledge using Social Media", focuses on factors influencing adoption and usage, the role of social media in managing knowledge, and factors that influence employees' acceptance and participation. The third section brings into discussion new approaches and technologies for acquiring knowledge. The book will be useful to both academics engaged in research in knowledge management and practitioners who are considering or implementing strategies for managing one of their most important resources.

In today’s world of business, gaining an advantage of competitors is a focal point for organizations and a driving force in the economy. New practices are being studied and implemented constantly by rivaling companies. Many industries have begun putting emphasis on intensive knowledge practices, with the belief that implementing cutting-edge learning practices will fuel research and innovation within the company. Understanding this dynamic method of management is critical for managers and executives who wish to propel the success of their organizations. Knowledge Management, Innovation, and Entrepreneurship in a Changing World is a collection of pioneering research on the methods of gaining organizational advantages based on knowledge innovation and management. While highlighting topics including human-robot teaming, organizational learning, and e-collaboration, this book will explore the sustainable links between knowledge management influences and organizational capability. This book is ideally designed for managers, strategists, economists, policymakers, entrepreneurs, business professionals, researchers, students, and academics seeking research on recent trends in innovative economics and business technologies.

Innovations of Knowledge Management highlights the broad range of topics that fall under the term knowledge management, thus emphasizing the large role knowledge management plays in organizations. As a compilation of some of the most recent work in the field, the included chapters truly present innovations in how organizations can and should manage their knowledge.

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.

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 propagates the argument that innovation is heavily influenced by learning, which in turn is driven by knowledge. This means that extensive knowledge (as a basis for good knowledge management) is necessary for learning that is suitable for innovation. Since previous studies have not paid enough attention to determining which types of knowledge can be suitable or defective, this book serves to fill the void through a number of well-written articles by some of the most renowned and respected names in the fields of knowledge management, learning and innovation. From Knowledge Management to Learning Organisation to Innovation offers readers the chance to further enhance their understanding of the knowledge management and learning practices that are relevant to organizational activities. This volume is also designed to alert the management of all organisations to the risks that they could face if the innovation process is not carefully managed. It is particularly unique because of the assistance it offers to companies in avoiding exposing themselves to unnecessary problems should they not ensure that appropriate knowledge and learning processes have taken place.

It is now widely recognized that many of the central unresolved problems in economic policy, management and research turn on questions of knowledge. Increasingly, complex firms and agencies must ask, and answer, such difficult questions as: What is knowledge? Where is it? Who has it? Does the organization lose or gain competitive advantage or effectiveness by sharing knowledge? Where can we find the knowledge we need? How can we measure knowledge? In a knowledge-based economy, these queries are integral to the pursuits of every policy maker, analyst and strategist. Knowledge Management in The Innovation Process - a joint project between Statistics Canada and Program of Research on Innovation Management and Economy (PRIME) at the University of Ottawa - brings together economic, social, measurement and policy views on these critical issues. This project fits into an ongoing research program at Statistics Canada to develop meaningful indicators for science, technology and innovation in a technology-intensive economy. It also fits into the ongoing program at PRIME to better understand technology policy and innovation strategy. This book tells the story of the dynamic interplay between knowledge and innovation with an eye to developing tools and frameworks for managing knowledge for social and economic benefit.