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This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author's influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.

Since it was established as a discipline in 1991, knowledge management has contributed significantly to our understanding of how firms can achieve competitive advantage. To build a foundation for competitive advantage, however, a company must first consider knowledge management as a strategic asset. It must truly grasp how knowledge management can be utilized to build the future of the company. Here Jon-Arild Johannessen examines the history of knowledge management in order to highlight the contributions that the discipline can make to twenty-first-century strategic challenges. Through a series of case studies, Johannessen delves into the relations between knowledge management, organizational learning, innovation, and internal training in order to show how they can help firms gain sustainable competitive advantage. Using systemic thinking, a new way of looking at knowledge management, Johannessen focuses on how organizations can use their data to think about how to create their own futures rather than simply to adapt to what others have created—how they can go beyond red ocean and even blue ocean theories in order to create their own oceans of possibility. For the new perspective it offers on the biggest contemporary strategic challenges in business, Knowledge Management as a Strategic Asset is essential reading for managers, researchers, and anyone interested in the cutting edge of strategic thinking.

A pedagogical approach to the principles and architecture of knowledge management in organizations This textbook is based on a graduate course taught at Stevens Institute of Technology. It focuses on the design and management of today's complex K organizations. A K organization is any company that generates and applies knowledge. The text takes existing ideas from organizational design and knowledge management to enhance and elevate each through harmonization with concepts from other disciplines. The authors—noted experts in the field—concentrate on both micro- and macro design and their interrelationships at individual, group, work, and organizational levels. A key feature of the textbook is an incisive discussion of the cultural, practice, and social aspects of knowledge management. The text explores the processes, tools, and infrastructures by which an organization can continuously improve, maintain, and exploit all elements of its knowledge base that are most relevant to achieve its strategic goals. The book seamlessly intertwines the disciplines of organizational design and knowledge management and offers extensive discussions, illustrative examples, student exercises, and visualizations. The following major topics are addressed: Knowledge management, intellectual capital, and knowledge systems Organizational design, behavior, and architecture Organizational strategy, change, and development Leadership and innovation Organizational culture and learning Social networking, communications, and collaboration Strategic human resources; e.g., hiring K workers and performance reviews Knowledge science, thinking, and creativity Philosophy of knowledge and information Information, knowledge, social, strategy, and contract continuums Information management and intelligent systems; e.g., business intelligence, big data, and cognitive systems Designing Knowledge Organizations takes an interdisciplinary and original approach to assess and synthesize the disciplines of knowledge management and organizational design, drawing upon conceptual underpinnings and practical experiences in these and related areas.

The application of emerging multimedia innovations can significantly benefit organizations across different sectors. These tools aid in increasing competitive advantage and optimizing knowledge management. Evaluating Media Richness in Organizational Learning is an essential reference source for the latest scholarly research on the application of computational tools for knowledge management frameworks and strategies in organizations. Featuring a broad range of coverage on topics and perspectives such as web semantics, product innovation, and knowledge sharing, this book is ideally designed for researchers, consultants, practitioners, professionals, and upper-level students seeking current information on ways to facilitate business innovation and achieve competitive advantage.

How an organization works is largely a function of what it knows—i.e., the collective knowledge about all aspects of the enterprise, from competitive intelligence to formal systems and policies to the ways in which individuals solve problems and share their expertise. Organizational knowledge is not to be found in manuals and web sites, but in the day-to-day interactions among employees, suppliers, customers, investors, and other stakeholders. How Organizations Remember is based on a 10-month study of a technology firm with locations in three countries (Australia, US, and Ireland); the company has undergone rapid growth and expansion, which have had a profound impact on power structures and organizational culture, and hence, on the ways in which knowledge is created and disseminated. The author discovered that what is remembered is diverse, and of differing value within and across the organization. How knowledge is remembered is equally diverse, and ranges from computer files to cartoons on the wall, from stories to the way objects are placed on a desk. Knowledge is influenced by external influences as well as internal influences; knowledge may become a competitive advantage, but may also contribute to inertia. The book combines theoretical perspectives and empirical findings to generate insights that contribute to both research and practice in organizational learning, innovation, culture, and behavior.

'This book provides relevant theoretical frameworks, latest empirical research findings, and practitioners'best practices social knowledge, for improving understanding of the strategic role of social knowledge in business, government, or non-profit sectors'--Provided by publisher

It seems as if attempts to use knowledge to understand and manage social networks are everywhere. Millions, if not billions, of dollars are being spent in an attempt to derail terrorist networks, with much of it being invested in making sense of massive data streams. There is growing concern that much of this money is being squandered on approaches that will never deliver on their promises. Our armed forces are being prepared to combat terrorist threats by the introduction of “network centric approaches” and “digital battlefields” – basically attempts to provide warfighters with a complete picture of the battlespace. However, the experience of practitioners suggests that the “data smog” this creates is actually counterproductive. From the arena of politics, the recent invigorating battle between senators Clinton and Obama has thrown the spotlight on the deficiencies in political polling (Economist, 2008b). Changes in the structure of the situation (e.g. high turnouts) have thrown the whole industry into chaos. Complexity is being discounted and the results are stark. The conclusion formed in the media was that the situation was wildly unpredictable (so anyone's to win), and ended up having real consequences for the Democratic challenger in November 2008 (Baldwin, 2008). Turning to business, we find that Société Générale recently lost $7.2bn as the result of a single rogue trader making a series of bogus transactions amid turbulent markets in 2007 and 2008. There has been much speculation on what was known, when it was known, and who knew it. In other words, we have speculation that this is an example of the role of knowledge in the mismanagement of social networks – with spectacular effect. At a glance, the problems highlighted above seem positively overwhelming. Where do you start? But start we must. Simple “cause and effect” thinking doesn't seem to be able to cut the mustard. There is broad agreement that even if the Kyoto targets were fully met, on schedule, by 2100 it would only delay the warming of the planet by six years (Parry et al., 1998). We need to utilize knowledge in new ways…or maybe uncover insights from old ways. It is hard to think of something more worthy of attention that the role of knowledge in the management of complex systems. In Volume 4 of the Managing the Complex Series we have brought together seventeen essays from authors around the globe to explore the complex systems view of knowledge and its role in social networks. Contributors explore such topics as: the limitations to our knowledge of complex systems, the transfer of knowledge from local to global levels, collaborative knowledge generation, decision making in complex multi-stakeholder situations, organizational learning and innovation, all through the lens of the emerging field of complexity science. The editors hope that this volume will give theorists further avenues to explore in their attempts to understand knowledge creation, maintenance and distribution, and also provide practitioners with new tools to apply in the complex and messy real world.

'This book provides relevant theoretical frameworks, latest empirical research findings, and practitioners'best practices in the area of organizational memory'--Provided by publisher

'This book presents a comprehensive set of investigations of a wide range of environmental factors, both internal and external, that contribute to the key challenge of complexity in KM. These factors include culture, technology, communications, infrastructure, and learning and leadership structures'--Provided by publisher.

'This book provides researchers and practitioners fundamental business and management knowledge by exploring relevant theoretical frameworks and the latest empirical research findings in the area of knowledge and knowledge management strategies and their formulation and alignment with organizations'competitive business strategies'--Provided by publisher.

'This book discusses the philosophical foundations of knowledge management, serving as a viable resource for academicians, practitioners, researchers, and students. It also depicts a global perspective, as the authors come from Asia, Europe, the Middle East, and the United States, and adds value to any course focused on KM in organizations'--Provided by publisher

Complemented by a companion volume entitled: Knowledge management and virtual organizations (c2000).

In the new millennium, the competence of most organizations will depend on innovative deployment of new technologies for effectively managing knowledge networks for organizational performance. Many such'virtual'organizations using information and knowledge as their fundamental bases are redefining the'reality'of the traditional'brick-and-mortar'economy. In the process, they are also posing challenges and opportunities by redefining traditional thinking about industries, organizations, competition, products, services, technologies, people and economy. Knowledge Management and Virtual Organizations is a compilation of innovative and interesting theories, case studies and best practices, information and communication technologies, methodologies, methods and measures that relate to the topics of knowledge management and new organization forms such as virtual organizations.