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The massive quantity of data, information, and knowledge available in digital form on the web or within the organizational knowledge base requires a more effective way to control it. The Semantic Web and its growing complexity demands a resource for the understanding of proper tools for management.""Semantic Knowledge Management: An Ontology-Based Framework"" addresses the Semantic Web from an operative point of view using theoretical approaches, methodologies, and software applications as innovative solutions to true knowledge management. This advanced title provides readers with critical steps and tools for developing a semantic based knowledge management system.
By bringing together elements of a radical new approach to the firm based on a biological metaphor of the ecosystem, this unique book extends the limits of existing theories traditionally used to investigate business networks. The book illustrates that like a biological system, a business ecosystem is a non-homogeneous community of entities made up of a large number of interconnected participants with different interests; they depend on each other for their mutual effectiveness and survival, and so are bound together in a collective whole. By applying this new paradigm - labelled the 'digital business ecosystem' - the book goes on to show: methods used by companies to compete and cooperate within their market and technological environment how modern businesses shape this environment through their deliberate actions and investment the ways in which new digital technologies feed into the environment and influence how firms and groups of firms compete and cooperate. Combining scientific depth with a rigorous and multidisciplinary approach, the contributors to this unique work take significant steps in opening up the debate on the digital business ecosystem concept. As such, this book will prove a fascinating resource for academics with an interest in technology and innovation management, economics of innovation, and economics of technological change.
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