indigenous knowledge system? Indigenous knowledge refers to knowledge systems embedded in the cultural traditions of regional‚ indigenous‚ or local communities. Indigenous knowledge system includes types of knowledge about traditional technologies of subsistence (e.g. tools‚ and techniques for hunting or agriculture)‚ midwifery‚ ethno botany‚ and ecological knowledge‚ celestial navigation‚ ethno astrology. Difference between indigenous knowledge system and western knowledge system?
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Lotus and IBM Knowledge Management Strategy An Overview September 2000 A Lotus Development Corporation White Paper Copyright 2000 Lotus Development Corporation. All rights reserved. Not for reproduction or other use without express written consent of Lotus Development Corporation Table of Contents The Dynamics of Knowledge Management People‚ Places & Things The Raven Development Project Implementation Scenario Conclusion White Paper Description This overview describes the Lotus
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Successful knowledge management implementation in global software companies Nikhil Mehta Abstract Purpose – The purpose of this paper is to develop and evaluate a concise framework to examine how global software companies with successful knowledge management (KM) programs create KM-enabled value. Design/methodology/approach – The framework was evaluated at three global software companies with successful KM programs. Data were generated based on 20 interviews with various individuals involved
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Caring Science Integration Paper: Promoting and Accepting the Expression of Positive and Negative Feelings Hirschsprung disease‚ or Congenital Aganglionic Megacolon‚ is a congenital anomaly that comes from a physical obstruction due to the intestines not performing peristalsis. It accounts for ¼ of all cases of neonatal intestinal obstruction. The pathology of HD is because of the absence of ganglion cells in the affected areas of the intestine which results in a loss of rectosphincteric reflex
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Components of a Knowledge Management System A Knowledge Management System (KMS) refers to either a technology-based or non-technical interconnected group of functions that have behaviour that enables or facilitates either (or a combination of) the discovery‚ capture‚ integration‚ sharing or delivery of the knowledge required by an organisation to meet its objectives. It can comprise a part of a Knowledge Management initiative or strategy to improve the utility of an organisation’s intellectual
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WSEAS TRANSACTIONS on BUSINESS and ECONOMICS Elissaveta Gourova‚ Albena Antonova‚ Yanka Todorova Knowledge audit concepts‚ processes and practice ELISSAVETA GOUROVA Faculty of Mathematics and Informatics Sofia University 125‚ Tzarigradsko shosse Blvd.‚ bl. 2‚ Sofia BULGARIA elis@fmi.uni-sofia.bg http://www.fmi.uni-sofia.bg ALBENA ANTONOVA Centre for Information Society Technologies Sofia University 125‚ Tzarigradsko shosse Blvd. bl. 2 fl. 3 BULGARIA a_antonova@fmi.uni-sofia.bg http://www-it
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Data & Knowledge Engineering Introduction Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKEreaches a world-wide audience of researchers‚ designers‚ managers and users. The major aim of the journal is to identify‚ investigate and analyze the underlying principles in the design and effective use of these systems.DKE achieves this aim
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WRITING INSTRUCTIONAL OBJECTIVES Kathy V. Waller‚ PhD‚ CLS(NCA) NAACLS Board of Directors Educators have used instructional‚ or behavioral‚ objectives for at least four decades. Robert Mager’s little text‚ Preparing Instructional Objectives‚ first printed in 1962‚ assisted many instructors in formulating and writing objectives. Since then‚ the use of objectives has become commonplace in education. The National Accrediting Agency for Clinical Laboratory Sciences (NAACLS) also affirms the value
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Data‚ Information‚ and Knowledge – Interwoven To explore the concepts of Data‚ Information‚ and Knowledge independently is to attempt building a large and complex puzzle with only a few pieces from the box. While the relationships between these concepts can be as elusive as finding their universal definitions‚ it is within these relationships that data‚ information‚ and knowledge are most meaningful. In the broadest sense‚ data exists in the form of unorganized and raw facts about the environment
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on purchasing business solutions to fit their specific needs. Customers were searching for more value based business solutions such as consulting‚ financing‚ systems integration‚ and other solution based services. This shift from a pure product business to a service focus and solutions approach increased the complexity and knowledge intensity of Siemens’ business. As Joachim Döring‚ ICN manger recalls: “Suddenly‚ our salespeople were facing the challenge of having to offer solutions rather than precisely
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