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Knowledge and Special Libraries

First Published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.

Knowledge and Strategy (Knowledge Reader Ser.)

First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

Knowledge and Strategy

First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

Knowledge and Technologies in Innovative Information Systems: 7th Mediterranean Conference on Information Systems, MCIS 2012, Guimaraes, Portugal, September 8-10, 2012, Proceedings (Lecture Notes in Business Information Processing #129)

This book constitutes the proceedings of the 7th Mediterranean Conference on Information Systems, MCIS 2012, held in Guimaraes, Portugal, in September 2012. MCIS 2012 comprised theories, research, and practices based on knowledge management and innovations in organizations, society, and businesses. The 18 full papers presented in this volume were carefully reviewed and selected from 89 submissions. They are organized in topical sections on: emerging and innovative information systems, enterprise systems and enterprise engineering, Web 2.0 enabled business models, information quality management and data accuracy in innovative IS, and ICT applications in healthcare.

Knowledge and the Economy (Knowledge and Space #5)

The broad spectrum of topics surrounding what is termed the ‘knowledge economy’ has attracted increasing attention from the scientific community in recent years. The nature of knowledge-intensive industries, the spatiality of knowledge, the role of proximity and distance in generating functional knowledge, the transfer of knowledge via networks, and the complex interplay between knowledge, location and economic development are all live academic issues. This book, the fifth volume in Springer’s Knowledge and Space series, focuses on the last of these: the multiple relationships between knowledge, the economy, and space. It reflects the conceptual and methodological multidisciplinarity emerging from this scholarship, yet where there has up to now been a notable lack of communication between some of the contributing disciplines, resulting in lexical and other confusions, this volume brings concord and to foster interdisciplinarity. These complications have been especially evident in our understanding of the spatiality of knowledge, the part that spatial contexts play in knowledge creation and diffusion, and the relevance of face-to-face contacts, all of which are addressed in these pages. The material here is grouped into four sections—knowledge creation and economy, knowledge and economic development, knowledge and networks, and knowledge and clusters. It assembles new concepts and original empirical research from geography, economics, sociology, international business relations, and management. The book addresses a varied audience interested in the historical and spatial foundations of the knowledge economy and is intended to bridge some of the gaps between the differing approaches to research on knowledge, the economy, and space.

Knowledge and the Family Business: The Governance and Management of Family Firms in the New Knowledge Economy (Innovation, Technology, and Knowledge Management)

Family businesses—the predominant form of business organization around the world—can make numerous, critical contributions to the economy and family well-being in both financial and qualitative terms. But dysfunctional family businesses can be difficult to manage, painful experiences at best, and they can destroy family wealth and personal relationships. This book explores the dynamics of family business management, in the context of constantly changing market conditions and the role that knowledge management plays in strategic planning and adaptation. Integrating the literature from family business, entrepreneurship, industrial psychology, and knowledge management, and with illustrative examples from a variety of enterprises, the authors address such topics as: •How family businesses can compete in the new knowledge economy •How to manage a family business when knowledge is its main asset •How to transfer knowledge (and how to keep it alive) through family generations Within this framework, the authors argue that effective resource management—especially intangible resources—is central to enabling a family-run organization to maintain a sustainable competitive advantage over time. They note that families often develop systemic, intuitive, or tacit knowledge that transcends rational decision making and needs to be recognized and nurtured as a distinctive asset. The authors demonstrate that trans-generational value is achieved when the family firm innovates and adapts itself to changing external and internal conditions. This kind of entrepreneurial performance requires dynamic capabilities and processes designed to acquire, exchange, combine and even shed knowledge and practices; and, in turn, dynamic capabilities result from mechanisms of knowledge sharing, collective learning, experience accumulation, and transfer.

Knowledge as a Driver of Regional Growth in the Russian Federation

The Russian Federation has a history of more than twenty years of transformation to a market economy, but as well to a knowledge society, to look back on. This study takes a look at the knowledge generation, knowledge transmission and knowledge use inside the Federation since the early 1990s. Furthermore, in light of the high dependence of the Russian economy on the oil and gas sectors this study analyzes the impact knowledge related factors have on regional income generation following thereby in the direction of Schumpeterian growth theory. The study combines descriptive with empirical analyses to paint a picture as detailed as possible of the Russian knowledge society and its innovative potential. ​

Knowledge Asset Management: Beyond the Process-centred and Product-centred Approaches (Advanced Information and Knowledge Processing)

A new economy is emerging. An economy that is transforming the fundamental rules of business. An economy based on exploiting knowledge and innovation. An economy where knowledge is the main source of wealth for regions, nations, enter­ prises and people. This new economy is based on economic values far removed from those of the industrial economy. Value has shifted towards intangibles and in particular towards increasing value by incorporating knowledge into services and products. The advent of this new economy is rapidly changing the role and structure of global business. Winning enterprises are those best able to harness the benefits and opportunities of information and communication technology, capitalize on their knowledge base and move at the speed of the market. Knowledge management lies at the heart of the European Community's competi­ tiveness strategy. The European Commission facilitates and supports applied research in knowledge management through its Information Society Technologies (1ST) programme, a major theme of research and technological development within the European Union's Research and Technology Development Framework Programme. Specifically, the New Methods of Work and Electronic Commerce action of the 1ST programme supports long-term applied research in areas combin­ ing technological innovation with new work practices and advanced business and work models.

Knowledge Assets and Knowledge Audits (Working Methods for Knowledge Management)

With the rising importance of knowledge as a primary factor in global industries, it is increasingly necessary for knowledge management professionals to understand, engage with, and speak the language of assets, investments and auditing. However, all too often, professionals don’t have these skills, and have no way to learn them. This exciting guide helps knowledge management professionals gain a basic understanding of assets, investments and audits, so they can command respect from those who are in control of financial investments. It also ensures that organizations have a roadmap for developing short- and long-term investment strategies. Providing guidance for identifying assets - and liabilities - as well as describing the types of investment available to align with knowledge assets, expert authors Pawan Handa, Jean Pagani, and Denise Bedford walk readers through standard audit practices, and help you through the process of designing, conducting, and reporting on the results of a knowledge audit. For knowledge management professionals, corporate and business leaders and managers, workforce professionals, and educators, this is an unmissable guide that unites the new face of the global economy with accepted auditing practices.

Knowledge Assets and Knowledge Audits (Working Methods for Knowledge Management)

With the rising importance of knowledge as a primary factor in global industries, it is increasingly necessary for knowledge management professionals to understand, engage with, and speak the language of assets, investments and auditing. However, all too often, professionals don’t have these skills, and have no way to learn them. This exciting guide helps knowledge management professionals gain a basic understanding of assets, investments and audits, so they can command respect from those who are in control of financial investments. It also ensures that organizations have a roadmap for developing short- and long-term investment strategies. Providing guidance for identifying assets - and liabilities - as well as describing the types of investment available to align with knowledge assets, expert authors Pawan Handa, Jean Pagani, and Denise Bedford walk readers through standard audit practices, and help you through the process of designing, conducting, and reporting on the results of a knowledge audit. For knowledge management professionals, corporate and business leaders and managers, workforce professionals, and educators, this is an unmissable guide that unites the new face of the global economy with accepted auditing practices.

Knowledge at Work: Creative Collaboration in the Global Economy

This book's unique perspective stems from its “knowledge diamond” framework to examine how individuals, communities, organizations and host industries reciprocally influence each other in the course of knowledge work. This highly topical book focuses on work-based projects as a focus for organizational learning. Establishes the link between individual, community, organization and industry learning. Suggests that organizations need to recognise and understand this link if they are to capitalize on project-based learning. Incorporates material on project-based learning in virtual communities. Refers to different examples, such as the film industry, the software industry and the boat building industry. Includes end-of-chapter questions provoking reflection and discussion.

Knowledge Automation: How to Implement Decision Management in Business Processes (Wiley Corporate F&A #595)

A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.

Knowledge Automation: How to Implement Decision Management in Business Processes (Wiley Corporate F&A #593)

A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.

Knowledge-Based Dynamic Capabilities: The Road Ahead in Gaining Organizational Competitiveness (Innovation, Technology, and Knowledge Management)

This book provides a knowledge-based view to the dynamic capabilities in an organization. The author integrates two existing views on gaining competitive advantage: the Knowledge View which suggests that the capability of organizations to learn faster than competitors is the only source of competitiveness; and the Dynamic Capability View which speculates that a firm’s competitive advantage rests on dynamic capabilities which enable a firm to constantly renew the stock of ordinary organizational capabilities in accordance with the changes in the business environment. Using the IT sector in India as a case study, this book provides and tests a new framework--Knowledge-Based Dynamic Capabilities—in the prediction of competitive advantage in organizations.

Knowledge-Based Growth in Natural Resource Intensive Economies: Mining, Knowledge Development and Innovation in Norway 1860–1940 (Palgrave Studies in Economic History)

This book rejects the idea that natural resource industries are doomed to slow growth. Rather, it examines the case of Norway to demonstrate that such industries can prove highly innovative and dynamic.Here, the case is compellingly made that a key empirical problem with the popular ‘resource curse’ argument is that some of the richest countries in the world – namely Norway, Sweden, Canada and Australia – have all developed fast-growing economies based on natural resources. Analysis of innovation and knowledge development in natural resource industries reveal important new insights about the role of learning and innovation. These insights are key to understanding variances in growth levels between natural resource-based economies. Ranestad illustrates how Norway’s high economic performance is built on knowledge-based natural resource industries. While Norwegian industries may have originated because of foreign technology and expertise, they thrived due to further developments carried out by organisations within Norway. Ranestad looks at how these developments were possible due to the country’s high level of human capital, capacity for knowledge absorption and ability to adapt to new global technological and economic circumstances.

Knowledge-Based Information Retrieval and Filtering from the Web (The Springer International Series in Engineering and Computer Science #746)

Knowledge-Based Information Retrieval and Filtering from the Web contains fifteen chapters, contributed by leading international researchers, addressing the matter of information retrieval, filtering and management of the information on the Internet. The research presented deals with the need to find proper solutions for the description of the information found on the Internet, the description of the information consumers need, the algorithms for retrieving documents (and indirectly, the information embedded in them), and the presentation of the information found. The chapters include: -Ontological representation of knowledge on the WWW; -Information extraction; -Information retrieval and administration of distributed documents; -Hard and soft modeling based knowledge capture; -Summarization of texts found on the WWW; -User profiles and personalization for web-based information retrieval system; -Information retrieval under constricted bandwidth; -Multilingual WWW; -Generic hierarchical classification using the single-link clustering; -Clustering of documents on the basis of text fuzzy similarity; -Intelligent agents for document categorization and adaptive filtering; -Multimedia retrieval and data mining for E-commerce and E-business; -A Web-based approach to competitive intelligence; -Learning ontologies for domain-specific information retrieval; -An open, decentralized architecture for searching for, and publishing information in distributed systems.

Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, Vietri sul Mare, Italy, September 12-14, 2007, Proceedings, Part II (Lecture Notes in Computer Science #4693)

Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, Vietri sul Mare, Italy, September 12-14, 2007, Proceedings, Part I (Lecture Notes in Computer Science #4692)

This book is part of a three-volume set that constitutes the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007. Coverage in this first volume includes artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, and information engineering and applications in ubiquitous computing environments.

Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, Vietri sul Mare, Italy, September 12-14, 2007, Proceedings, Part III (Lecture Notes in Computer Science #4694)

Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part III (Lecture Notes in Computer Science #4253)

The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK, in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.

Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part I (Lecture Notes in Computer Science #4251)

The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.

Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part II (Lecture Notes in Computer Science #4252)

The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK, in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.

Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I (Lecture Notes in Computer Science #3681)

Dear delegates,friendsand membersofthe growingKES professionalcommunity,w- come to the proceedings of the 9th International Conference on Knowledge-Based and IntelligentInformationandEngineeringSystemshostedbyLa TrobeUniversityin M- bourne Australia. The KES conference series has been established for almost a decade, and it cont- ues each year to attract participants from all geographical areas of the world, including Europe, the Americas, Australasia and the Paci?c Rim. The KES conferences cover a wide range of intelligent systems topics. The broad focus of the conference series is the theory and applications of intelligent systems. From a pure research ?eld, intel- gent systems have advanced to the point where their abilities have been incorporated into many business and engineering application areas. KES 2005 provided a valuable mechanism for delegates to obtain an extensive view of the latest research into a range of intelligent-systems algorithms, tools and techniques. The conference also gave de- gates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represented a unique opp- tunity to gain an appreciation of the full spectrum of leading-edge intelligent-systems activity. The papers for KES 2005 were either submitted to invited sessions, chaired and organized by respected experts in their ?elds, or to a general session, managed by an extensive International Program Committee, or to the Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP) Workshop, managed by an International Workshop Technical Committee.

Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part IV (Lecture Notes in Computer Science #3684)

Dear delegates,friendsand membersofthe growingKES professionalcommunity,w- come to the proceedings of the 9th International Conference on Knowledge-Based and IntelligentInformationandEngineeringSystemshostedbyLa TrobeUniversityin M- bourne Australia. The KES conference series has been established for almost a decade, and it cont- ues each year to attract participants from all geographical areas of the world, including Europe, the Americas, Australasia and the Paci?c Rim. The KES conferences cover a wide range of intelligent systems topics. The broad focus of the conference series is the theory and applications of intelligent systems. From a pure research ?eld, intel- gent systems have advanced to the point where their abilities have been incorporated into many business and engineering application areas. KES 2005 provided a valuable mechanism for delegates to obtain an extensive view of the latest research into a range of intelligent-systems algorithms, tools and techniques. The conference also gave de- gates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represented a unique opp- tunity to gain an appreciation of the full spectrum of leading-edge intelligent-systems activity. The papers for KES 2005 were either submitted to invited sessions, chaired and organized by respected experts in their ?elds, or to a general session, managed by an extensive International Program Committee, or to the Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP) Workshop, managed by an International Workshop Technical Committee.

Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part III (Lecture Notes in Computer Science #3683)

Dear delegates,friendsand membersofthe growingKES professionalcommunity,w- come to the proceedings of the 9th International Conference on Knowledge-Based and IntelligentInformationandEngineeringSystemshostedbyLa TrobeUniversityin M- bourne Australia. The KES conference series has been established for almost a decade, and it cont- ues each year to attract participants from all geographical areas of the world, including Europe, the Americas, Australasia and the Paci?c Rim. The KES conferences cover a wide range of intelligent systems topics. The broad focus of the conference series is the theory and applications of intelligent systems. From a pure research ?eld, intel- gent systems have advanced to the point where their abilities have been incorporated into many business and engineering application areas. KES 2005 provided a valuable mechanism for delegates to obtain an extensive view of the latest research into a range of intelligent-systems algorithms, tools and techniques. The conference also gave de- gates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represented a unique opp- tunity to gain an appreciation of the full spectrum of leading-edge intelligent-systems activity. The papers for KES 2005 were either submitted to invited sessions, chaired and organized by respected experts in their ?elds, or to a general session, managed by an extensive International Program Committee, or to the Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP) Workshop, managed by an International Workshop Technical Committee.