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This book critically examines the organization of knowledge as it is involved in matters of digital communication, the social, cultural and political consequences of classifying, and how particular historical contexts shape ideas of information and what information to classify and record. Due to permeation of digital infrastructures, software, and digital media in everyday life, many aspects of contemporary culture and society are infused with the activity and practice of classification. That means that old questions about classification have their potency in modern discourses about surveillance, identify formation, big data and so on. At the same time, this situation also implies a need to reconsider these old questions and how to frame them in digital culture. This book contains contributions that consider classic library classification practices and how their choices have social, cultural and political effect, how the organization of knowledge is not only a professional practice but is also a way of communicating and understanding digital culture, and how what a particular historical context perceives as information has implications for the recording of that information.
Knowledge management. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Knowledge management --- E-books --- Language Arts & Disciplines --- Library & information services. --- Library & Information Science --- General.
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Engineering --- Knowledge management --- Technological innovations --- Data processing --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Construction --- Industrial arts --- Technology
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Leadership and management are general skills that apply in most walks of life, but in the scientific domain they require some special characteristics. Science thrives on challenge, whether it is the technical challenge of trying to do something which has not been done before or challenging a widely held but poorly supported hypothesis. Scientists are trained to challenge, and for the manager of science this can itself be a challenge. In the past, when science was on a much smaller scale and less subject to public scrutiny, a less formal 'back-of-the-envelope' management style was acceptable, but those days are long-gone. Science costs much more and is rightly more accountable. Excellent scientists, however, do not necessarily make good managers and may not make good leaders. Nevertheless, like all skills, leadership and management can be enhanced and developed and even instinctively good managers can improve.While the science of management and leadership is well developed, the management and leadership of science is less so. This book aims to introduce the working research scientist to the art and techniques of management and the skills necessary to be a good and effective manager and leader of science and scientists. This includes understanding the organization and functioning of scientific research establishments (universities, laboratories, research councils, etc.) and how to deal with the associated committee work, recruiting, and team building; how to deal with difficulties managing projects and handling risks. The approach is pragmatic not dogmatic. Leadership and management are people skills, and each person is different and needs to be treated differently. The focus is on the principle and practice. While the subject is serious, the approach is conversational, with anecdotes and practical examples.
Science --- Management. --- 001.891 --- Knowledge management --- 001.891 Wetenschappelijk onderzoek. Research. Onderzoekmethoden --- Wetenschappelijk onderzoek. Research. Onderzoekmethoden --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning
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Make your learning organization truly indispensable. If you’re planting the seeds of improved organizational and individual effectiveness, you are a true learning leader. You know better than anyone that learning is an evolution, not a singular event. But what if your organization isn’t on the same page? Or worse, what if you find that your efforts are the first to go when there’s a change in the C-suite, or when budget cuts loom? Learning for the Long Run tackles sustainability concerns head-on. Discover seven proven practices businesses use to ensure continuity in learning and development. Original case studies from the public and private sector put these practices into action, while self-assessments and job aids show you how to attain a sustainable mindset. Explore how FlightSafety International leveraged its measurement capabilities to drive results and improve its avionics safety system. How the U.S. Army Warrant Officer Career College built and bent its change capabilities to prepare the next generation of Army officers, amid labor shortages and complex global threats. How the Tennessee Department of Human Resources led an award-winning shift to transform a tenure-based environment into a performance-driven learning culture. And more. In Learning for the Long Run, innovative change leader Holly Burkett demystifies how to earn credibility and grow the learning function into a mature enterprise that will weather today’s frequent business disruptions. Now’s the time to build lasting organizational value and resist the temptation of the quick fix.
Organizational learning. --- Knowledge management. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Learning organizations --- Learning --- Communities of practice --- Knowledge management --- E-books
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Knowledge services converges information management, knowledge management (KM), and strategic learning into a single enterprise-wide discipline for the benefit of the business or organization in which it is practiced. As the acknowledged framework for strategic knowledge management, knowledge services-the responsibility of the knowledge strategist-leads to excellence in knowledge sharing and ultimately to shaping the organization as a knowledge culture. Knowledge Services: A Strategic Framework for the 21st Century Organization provides guidance for the knowledge strategist and is designed specifically to serve as a reference for that management employee, and for those seeking to become knowledge strategists.
Special libraries --- Intellectual capital. --- Knowledge management. --- Administration. --- Management of knowledge assets --- Capital, Intellectual --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Human capital --- Knowledge management --- Knowledge workers --- Gestion des connaissances
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information science --- knowledge management --- Knowledge management --- Information technology --- Information technology. --- Knowledge management. --- Management of knowledge assets --- Management --- Intellectual capital --- Organizational learning --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Management Theory
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Die Ausführungen in diesem Buch zeigen auf, wie durch Konzeptionen der am kooperativen Lernprozess beteiligten aufbau- und ablauforganisatorischen Einheiten ein Modell erstellt werden kann, das die wissenskommunikativen Prozessanteilemit curricularen Anforderungen einer Verknüpfung von Inhalten und mit Anforderungen an eine didaktische Integration verbindet. Das Modell als Resultat eines lernprozessorientierten Wissensmanagement ist Gestaltungsbasis konkreter und phasenorientierter Lernprozesse und deren wissensorientierter Systemunterstützung. Durch die Erweiterung um strategische Komponenten der Lehr-/Lernorganisation bildet es außerdem die Grundlage für eine an Effizienz- und Effektivitätszielen angelehnte Definition von Studienmodellen. Der Inhalt Neue Medien in der Bildung Wissensmanagement Integration von Wissensmanagement und kooperativem Lernen Gestaltung wissensorientierter virtueller Lernumgebungen Design und Auswertung einer Anwendungsstudie Der Autor Prof. Dr. Paul Nikodemus studierte Ingenieur- und Wirtschaftswissenschaften und war danach in unterschiedlichen Führungspositionen und in der Beratung mit den Schwerpunkten Informationsverarbeitung und Organisation tätig. Seit über fünfzehn Jahren arbeitet er auch in der Lehre und angewandten Forschung, vor allem in den Bereichen Informations- und Wissensmanagement sowie Innovations- und Technologiemanagement.
Knowledge management. --- Organization. --- Leadership. --- Knowledge Management. --- Business Strategy/Leadership. --- Ability --- Command of troops --- Followership --- Organisation --- Management --- Management of knowledge assets --- Information technology --- Intellectual capital --- Organizational learning --- Planning. --- Creation (Literary, artistic, etc.) --- Executive ability --- Organization
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Universities are increasingly expected to be at the heart of networked structures contributing to society in meaningful and measurable ways through research, the teaching and development of experts, and knowledge innovation. While there is nothing new in universities' links with industry, what is recent is their role as territorial actors. It is government policy in many countries that universities - and in some countries national laboratories - stimulate regional or local economic development.Universities, Innovation and the Economy explores the implications of this expecta
Entrepreneurship --- High technology industries --- Knowledge management --- Government policy --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Industries --- Entrepreneur --- Intrapreneur --- Capitalism --- Business incubators --- territorial --- role --- national --- system --- university --- industry --- interaction --- technology --- transfer --- entrepreneurial
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Knowledge management. --- Management information systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Management of knowledge assets --- Information technology --- Intellectual capital --- Organizational learning --- Communication systems --- Knowledge management --- E-books
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This study adopts the logic of Systems Thinking and Control Systems, presenting a simple but complete theory called the Theory of Combinatory Systems. This new theory is able to describe, interpret, explain, simulate and control collective phenomena and their observable effects. Despite specific differences among these phenomena – many of which are “one way", non-repeatable or reproducible – they can all be described or explained, and thus understood, using the model, as simple as it is general, of combinatory systems; that is, systems formed by collectivities, or populations of non-connected and unorganized individuals of some species, which appear to be directed by an invisible hand that guides the analogous actions of similar individuals in order to produce an emerging collective phenomenon. Combinatory Systems function due to the presence of micro control systems which, operating at the individual level, lead to uniform micro behavior by individuals in order to eliminate the (gap) with respect to the objective that is represented – or revealed – by the global information (macro behavior or effect). The book also examines Combinatory Automata, which represent a powerful tool for simulating the most relevant combinatory systems. In stochastic combinatory automata, when both probabilities and periods of transition of state are agent/time/state sensitive, the probabilistic micro behaviors are conditioned by the macro behavior of the entire system, which makes the micro-macro feedback more evident. The Combinatory Systems Theory: Understanding, Modeling and Simulating Collective Phenomena is composed of four main chapters. Chapter 1 presents the basic ideas behind the theory, which are analysed in some detail. Chapter 2 describes the heuristic models of several relevant combinatory systems observable in different environments. Chapter 3, while not making particular use of sophisticated mathematical and statistical tools, presents the Theory of Combinatory Automata and builds models for simulating the operative logic of combinatory systems. Chapter 4 tries to answer three questions: are combinatory systems “systems” in the true sense of the term? Why is this theory able to explain so many and so varied a number of phenomena, even though it is based on a very simple modus operandi? Are combinatory systems different than complex systems? The book has been written with no prerequisite required to read and understand it, in particular math, statistics and computer knowledge.
Business. --- Knowledge management. --- Application software. --- System theory. --- Business and Management. --- Knowledge Management. --- Complex Systems. --- Computer Appl. in Social and Behavioral Sciences. --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Social sciences --- Data processing. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computer Application in Social and Behavioral Sciences.
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