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Knowledge management convergence - expanding learning frontiers

By: LYTRAS, Miltiadis D.
Contributor(s): POULOUDI, Athanasia | POULYMENAKOU, Angeliki.
Material type: materialTypeLabelArticlePublisher: 2002Subject(s): Information | Management | Internet | Corporate Strategy | LearningJournal of Knowledge Management 6, 1, p. 40-51Abstract: Knowledge management seems to be another buzzword. More and more we can hear about the new imperatum of knowledge. We look like researchers in a brand new field, even though our daily life is a continuous knowledge management process. Moreover, the origins of our focus diversify biased to the knowledge management perspectives that we have conceptualized. Our paper intends to reveal the continuous process of knowledge transformation to re-usable learning objects. The case of organizational memory is treated as a cumulative system of value adding components. The case of organizational memory is treated as a cumulative system of value adding components. The deployment of informaiton and communication technologies in our approach justifies the intelligence of our analysis. Web semantics, metadata specifications provide only the enclosure of an extensive analysis of concepts. Two concepts are e-learning model and the value adding knowledge management framework
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Periódico Biblioteca Graciliano Ramos
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Knowledge management seems to be another buzzword. More and more we can hear about the new imperatum of knowledge. We look like researchers in a brand new field, even though our daily life is a continuous knowledge management process. Moreover, the origins of our focus diversify biased to the knowledge management perspectives that we have conceptualized. Our paper intends to reveal the continuous process of knowledge transformation to re-usable learning objects. The case of organizational memory is treated as a cumulative system of value adding components. The case of organizational memory is treated as a cumulative system of value adding components. The deployment of informaiton and communication technologies in our approach justifies the intelligence of our analysis. Web semantics, metadata specifications provide only the enclosure of an extensive analysis of concepts. Two concepts are e-learning model and the value adding knowledge management framework

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