Download Free Knowledge Driven Governance Book in PDF and EPUB Free Download. You can read online Knowledge Driven Governance and write the review.

This book explores a new model for addressing the central issue of environmental and other collective actions. An alternative to the classical models: central authority, privatization, and self-governance, it has provisionally been named “expert and scholar-based-” or “knowledge-driven governance”. The book also identifies seven working rules (or design principles) for successful knowledge-driven governance, and argues that the more strictly these rules are abided by, the more successful this model of governance becomes. Lastly, it demonstrates that in addition to Lindblom’s observed intellectually guided society and preference-guided/volition-guided society, there may be the possibility of a knowledge-driven society in which knowledge or intellect plays a greater role. The results obtained are supplemented by numerical calculations, presented as tables and figures. This book is intended for graduate students, lecturers and researchers working in environmental management, environmental science and engineering, sustainable development, collective action, and public administration.
This open access book focuses on theoretical and empirical intersections between governance, knowledge and space from an interdisciplinary perspective. The contributions elucidate how knowledge is a prerequisite as well as a driver of governance efficacy, and conversely, how governance affects the creation and use of knowledge and innovation in geographical context. Scholars from the fields of anthropology, economics, geography, public administration, political science, sociology, and organization studies provide original theoretical discussions along these interdependencies. Moreover, a variety of empirical chapters on governance issues, ranging from regional and national to global scales and covering case studies in Australia, Europe, Latina America, North America and South Africa demonstrate that geography and space are not only important contexts for governance that affect the contingent outcomes of governance blueprints. Governance also creates spaces. It affects the geographical confines as well as the quality of opportunities and constraints that actors enjoy to establish legitimate and sustainable ways of social and environmental co-existence.
The book argues that knowledge governance is a distinct issue in management and organization because knowledge processes differ on several dimensions from routine and more traditional processes.
"This book provides a comprehensive collection of research and analysis on the principles of service, knowledge and organizational capabilities, clarifying IT strategy procedures and management practices and how they are used to shape a firm's knowledge resources"--Provided by publisher.
Presents research investigating the notion that information communication technologies (ICTs) have the potential to improve the lives of people and contribute to enhancing social conditions in developing countries through such concepts as the Knowledge Society, open education, and e-governance.
Since knowledge systems and knowledge management programs are put in place to monitor workers in the performance of their jobs; knowledge is, therefore, an essential component in the achievement of goals and production of economic benefit of an organization. Dynamic Models for Knowledge-Driven Organizations presents a widespread collection of research on the understanding of the managerial, technical and human issues associated with the use of knowledge in organizations while bearing in mind the design, development, and maintenance of useful knowledge management systems. This reference is essential for the tools and information needed to effectively implement knowledge management systems and would benefit researchers and practitioners alike.
The Springer book series Innovation, Technology, and Knowledge Management was launched in March 2008 as a forum and intellectual, scholarly “podium” for global/local, transdisciplinary, transsectoral, public–private, and leading/“bleeding” -edge ideas, theories, and perspectives on these topics. The book series is accompanied by the Springer Journal of the Knowledge Economy, which was launched in 2009 with the same editorial leadership. The series showcases provocative views that diverge from the current “conv- tional wisdom,” that are properly grounded in theory and practice, and that consider 1 2 the concepts of robust competitiveness, sustainable entrepreneurship, and demo- 3 cratic capitalism, central to its philosophy and objectives. More specifically, the aim of this series is to highlight emerging research and practice at the dynamic intersection of these fields, where individuals, organizations, industries, regions, and nations are harnessing creativity and invention to achieve and sustain growth. Books that are part of the series explore the impact of innovation at the “macro” (economies, markets), “meso” (industries, firms), and “micro” levels. (teams, indi viduals), drawing from such related disciplines as finance, organizational psychology, research and development, science policy, information systems, and 1 We define sustainable entrepreneurship as the creation of viable, profitable, and scalable firms. Such firms engender the formation of self-replicating and mutually enhancing innovation networks and knowledge clusters (innovation ecosystems), leading toward robust competitiveness (E.G. Carayannis, International Journal of Innovation and Regional Development, 1(3), 235–254, 2009).
Patent offices around the world have granted millions of patents to multinational companies. Patent offices are rarely studied and yet they are crucial agents in the global knowledge economy. Based on a study of forty-five rich and poor countries that takes in the world's largest and smallest offices, Peter Drahos argues that patent offices have become part of a globally integrated private governance network, which serves the interests of multinational companies, and that the Trilateral Offices of Europe, the USA and Japan make developing country patent offices part of the network through the strategic fostering of technocratic trust. By analysing the obligations of patent offices under the patent social contract and drawing on a theory of nodal governance, the author proposes innovative approaches to patent office administration that would allow developed and developing countries to recapture the public spirit of the patent social contract.
Knowledge Management has evolved into one of the most important streams of management research, affecting organizations of all types at many different levels. The Encyclopedia of Knowledge Management, Second Edition provides a compendium of terms, definitions and explanations of concepts, processes and acronyms addressing the challenges of knowledge management. This two-volume collection covers all aspects of this critical discipline, which range from knowledge identification and representation, to the impact of Knowledge Management Systems on organizational culture, to the significant integration and cost issues being faced by Human Resources, MIS/IT, and production departments.
This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.