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This volume reports on the results of research into the development of a framework for the improvement of knowledge-intense business processes (KBPI). This framework is composed of three parts: an epistemology, which provides a working definition of the concept of knowledge and a theoretical foundation of the improvement framework; a business process ontology, used to describe a business process; and an improvement methodology, used to guide the improvement process. The framework was tested on three different business processes through the conduct of three case studies. The case study results show that the KBPI can be applied to the process analysis and improvement of a variety of business processes but is especially useful to those processes that are knowledge-intense.

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Peter Dalmaris is a lecturer at the University of Technology, Sydney (UTS), while being active in the industry through his company, Futureshock Research. Peter holds a PhD, MSc(KM) and MSc(Eng) from UTS, and a BElecEng from Aristotle University of Thessaloniki, Greece.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume reports on the results of research into the development of a framework for the improvement of knowledge-intense business processes (KBPI). This framework is composed of three parts: an epistemology, which provides a working definition of the concept of knowledge and a theoretical foundation of the improvement framework; a business process ontology, used to describe a business process; and an improvement methodology, used to guide the improvement process. The framework was tested on three different business processes through the conduct of three case studies. The case study results show that the KBPI can be applied to the process analysis and improvement of a variety of business processes but is especially useful to those processes that are knowledge-intense. 236 pp. Englisch. Codice articolo 9783843369374

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dalmaris PeterPeter Dalmaris is a lecturer at the University of Technology, Sydney (UTS), while being active in the industry through his company, Futureshock Research. Peter holds a PhD, MSc(KM) and MSc(Eng) from UTS, and a BElecEn. Codice articolo 5466861

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Taschenbuch. Condizione: Neu. Neuware -This volume reports on the results of research into the development of a framework for the improvement of knowledge-intense business processes (KBPI). This framework is composed of three parts: an epistemology, which provides a working definition of the concept of knowledge and a theoretical foundation of the improvement framework; a business process ontology, used to describe a business process; and an improvement methodology, used to guide the improvement process. The framework was tested on three different business processes through the conduct of three case studies. The case study results show that the KBPI can be applied to the process analysis and improvement of a variety of business processes but is especially useful to those processes that are knowledge-intense.Books on Demand GmbH, Überseering 33, 22297 Hamburg 236 pp. Englisch. Codice articolo 9783843369374

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume reports on the results of research into the development of a framework for the improvement of knowledge-intense business processes (KBPI). This framework is composed of three parts: an epistemology, which provides a working definition of the concept of knowledge and a theoretical foundation of the improvement framework; a business process ontology, used to describe a business process; and an improvement methodology, used to guide the improvement process. The framework was tested on three different business processes through the conduct of three case studies. The case study results show that the KBPI can be applied to the process analysis and improvement of a variety of business processes but is especially useful to those processes that are knowledge-intense. Codice articolo 9783843369374

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ISBN 10: 3843369372 ISBN 13: 9783843369374
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