Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.
Knowledge Networks: Innovation Through Communities of Practice explores the inner workings of an organizational, internationally distributed Community of Practice. The book highlights the weaknesses of the 'traditional' KM approach of 'capture-codify-store' and asserts that communities of practice are recognized as groups where soft (knowledge that cannot be captured) knowledge is created and sustained. Readers will gain insight into a period the life of a distributed international community of practice by following the members as they work, meet, collaborate, interact and socialize.
To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.
A complete set of best practices, tools, and techniques for turning conversations into a rich source of business information Many organizations are now recognizing that the untapped knowledge of their members can be used to benefit every aspect of their business, from making smarter and faster decisions to improving products and efficiency. This book offers a clear-cut road map for building a successful knowledge management system to capture and fully exploit the knowledge exchanged in conversations. Written by two of the foremost experts in online communities, this book covers a set of best practices, tools, and techniques for using conversation and online interaction to provide affordable and effective knowledge-based benefits and solutions. With a unique and invaluable perspective, the authors offer guidance for collecting, capturing, and cataloging knowledge so that it can be used to improve efficiency and reduce costs in areas ranging from internal procedures through customer relations and product development. This book provides step-by-step solutions for developing an effective knowledge network, including how to: * Formulate strategies and create action plans * Select the right tools for peer-to-peer networks, interactive communities, and events * Work with legacy systems * Train staff and stimulate participation * Improve productivity and measurement criteria The companion Web site contains templates, checklists, a discussion board, and links to software.
Until now, research has given us only a limited understanding of how managers actually make sense of and apply management knowledge; how networks of interaction amongst managers help or hinder processes of knowledge diffusion and the sharing of best practice; and how these processes are all influenced both by the organisations in which managers act and by the professional communities of practice they belong to. Managing Modern Healthcare fills these important gaps in our understanding by drawing upon an in-depth study of management networks and practice in three healthcare organisations in the UK. It draws from the primary research a number of important and grounded lessons about how management networks develop and influence the spread of management knowledge and practice; how management training and development relates to the needs of managers facing challenging conditions; and how those conditions are themselves shaping the nature of management in healthcare. This book reveals how managers in practice are responding to the many contemporary challenges facing healthcare (and the NHS in particular) and how they are able or not to effectively exploit sources of knowledge, learning and best practice through the networks of practice they engage in to improve healthcare delivery and healthcare organisational performance. Managing Modern Healthcare makes a number of important theoretical contributions as well as practical recommendations. The theoretical and empirical contributions the book makes relate to wider work on networks and networking, management knowledge, situated learning/communities of practice, professionalization/professional identity and healthcare management more generally. The practical contribution comes in the form of recommendations for healthcare management practitioners and policy makers that are intended to impact upon and help enhance healthcare management delivery and performance.
Examines the 'knowledge network' whose primary mandate is to create and disseminate knowledge based on multidisciplinary research that is informed by problem-solving as well as theoretical agendas.
The information context of the modern organization is rapidly evolving in the face of intense global competition. Information technologies, including databases, new telecommunications systems, and software for synthesizing information, make a vast array of information available to an ever expanding number of organizational members. Management's exclusive control over knowledge is steadily declining, in part because of the downsizing of organizations and the decline of the number of layers in an organizational hierarchy. These trends, as well as issues surrounding the Web 2.0 and social networking, mean that it is increasingly important that we understand how informal knowledge networks impact the generation, capturing, storing, dissemination, and application of knowledge. This innovative book provides a thorough analysis of knowledge networks, focusing on how relationships contribute to the creation of knowledge, its distribution within organizations, how it is diffused and transferred, and how people find it and share it collaboratively.
Annotation Twenty essays present current research on knowledge management as related to effective design of new organization forms. The first section of the book covers frameworks, models, analyses, case studies and research on the integration of knowledge management within virtual organizations, virtual teams and virtual communities of practice. Themes covered in this section include business model innovation; design of virtual organization forms; net-based models; techniques for enabling knowledge capture, sharing and transfer; and collaboration and competition at intra- and inter-organizational levels. The focus of the second half is on key success factors that are important for realizing virtual models of business transformation. Topics include the role of organizational control systems, the role of internal and external employees and customers in creation of organizational knowledge, and information quality issues. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Provides comprehensive, in-depth coverage of all issues related to knowledge management, including conceptual, methodological, technical, and managerial issues. Presents the opportunities, future challenges, and emerging trends related to this subject.
In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.