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Organizational learning. --- Organizational learning --- Knowledge management. --- Knowledge, Theory of
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Knowledge management metrics are one of the weakest areas of practice in the field. Overwhelmingly, the literature that exists focuses on case studies and incidents of metrics, rather than approaching the concept holistically.Addressing this lack, expert authors Alexeis Garcia-Perez, Farah Gheriss and Denise Bedford come together to supply a fundamental discussion of measurement cultures and philosophy, types of metrics, and how to use metrics to grow an organization. They offer a guide for knowledge management professionals to report on progress against goals and targets in terms that are understandable and comparable to their organizational peers, enabling professionals from across businesses to communicate with metrics and engage in wider discussion about the process of achieving organizational visions.Providing practical guidance for identifying different types of measurements and metrics, as well as methods for defining and collection information about metrics, this is an essential book for knowledge management professionals and researchers on the path to improving metric literacy across their organizations.
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This book constitutes revised selected papers from the following SEFM 2012 satellite events: InSuEdu, the First International Symposium on Innovation and Sustainability in Education; MokMaSD, the First International Symposium on Modelling and Knowledge Management for Sustainable Development and Open Cert, the 6th International Workshop on Foundations and Techniques for Open Source Software Certification, held in Thessaloniki, Greece, in October 2012. The total of 14 regular papers and 7 short papers included in this volume were carefully reviewed and selected from 35 submissions. The papers cover the topics related to the use of Information and Communication Technology (ICT) and Open Source Software (OSS) as tools to foster and support Education, Innovation and Sustainability.
Teaching --- Computer assisted instruction --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- duurzaamheid --- vormgeving --- computers --- informatica --- maatschappij --- onderwijs --- mineralen (chemie) --- computerondersteund onderwijs --- simulaties --- mijnbouw --- duurzame ontwikkeling --- informatietechnologie --- software engineering --- KI (kunstmatige intelligentie) --- computerkunde --- robots
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Failed knowledge management projects have one element in common: they fail to focus on the organization's core business functions and instead choose functions that are easy or might produce 'low-hanging fruit'. As a result, often even successful knowledge management projects add little value to the organization as they fail to address the pain points of the heart of the business. So how can knowledge management professionals position themselves for greatest success? In this practical guide, expert authors Alexeis Garcia-Perez, Juan Gabriel Cegarra-Navarro, Denise Bedford, Margo Thomas, and Susan Wakabayashi demonstrate how professionals can map knowledge resources to support business critical capabilities, and increase the impact of knowledge management projects. They also explain how to avoid investing in resources with low value, and how to develop strategies and action plans for different types of resources. Providing practical guidance for professionals, and including mini-case studies of successes and failures, this is an essential book for any knowledge management professional, researcher or student.
Knowledge management. --- Knowledge management --- Intellectual capital. --- Decision-making.
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The 21st century economy is fuelled by knowledge. Today, knowledge is more than an idea - it is an economic commodity. An organization's knowledge capital is a competitive and comparative advantage. Every organization must now invest in the knowledge assets of all its employees. Learning is the engine that creates and renews knowledge capital. Learning Organizations delves into why learning is an essential business operation; how modern learning is different from industrial-era training; how to discover learning sources and opportunities; how to design a learning environment and learning strategies that optimize the potential of every employee. This is essential reading for business managers, human resource professionals, and academic researchers studying knowledge economies, knowledge, and intellectual capital.
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This book constitutes revised selected papers from the following SEFM 2012 satellite events: InSuEdu, the First International Symposium on Innovation and Sustainability in Education; MokMaSD, the First International Symposium on Modelling and Knowledge Management for Sustainable Development and Open Cert, the 6th International Workshop on Foundations and Techniques for Open Source Software Certification, held in Thessaloniki, Greece, in October 2012. The total of 14 regular papers and 7 short papers included in this volume were carefully reviewed and selected from 35 submissions. The papers cover the topics related to the use of Information and Communication Technology (ICT) and Open Source Software (OSS) as tools to foster and support Education, Innovation and Sustainability.
Artificial Intelligence (incl. Robotics) --- Software engineering. --- Computer science. --- Artificial intelligence. --- Computer simulation. --- Education. --- Computers and Education. --- Simulation and Modeling. --- Computers and Society. --- Children --- Education, Primitive --- Education of children --- Human resource development --- Instruction --- Pedagogy --- Schooling --- Students --- Youth --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer software engineering --- Informatics --- Education --- Computers and civilization. --- Computer Science. --- Software Engineering. --- Artificial Intelligence (incl. Robotics). --- Data processing. --- Software engineering --- Formal methods (Computer science) --- Artificial Intelligence. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Science --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Engineering --- Civilization --- Learning and scholarship --- Mental discipline --- Schools --- Teaching --- Training --- Education—Data processing. --- Civilization and computers --- Computer Modelling. --- Computer uses in education --- Computers in education --- Educational computing --- Microcomputer uses in education --- Microcomputers in education
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