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The role of intelligent resources in knowledge management

By: CARNEIRO, Alberto.
Material type: materialTypeLabelArticlePublisher: 2001Subject(s): Tecnologia da Informação | Tomada de Decisão | Vantagem CompetitivaJournal of Knowledge Management 5, 4, p. 358-367Abstract: This paper aims to improve understanding of the process through which knowledge acquisition, technical tools and organisation actors can contribute to an organisation development in developing knowedge as a systemic competitive weapon. It examines the relationships between the technology and human value, because they are vital instruments of the knowledge management (KM) process. By considering that KM is related to intelligent agents, information technology(IT), and strategic decision-support systems (SDSS), it attempts to provide useful insights on KM efficiency. A conceptual model of KM efficiency in the organisations supported by the combination of intelligent agents` role and intelligent systems resources is presented. The model is divided in two areas: the area of technical tools for specification of intelligent systems resources and the area of intelligent agents destined to focus their roles on organisations performance. The major factors are discussed and directions for future reearch are suggested
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This paper aims to improve understanding of the process through which knowledge acquisition, technical tools and organisation actors can contribute to an organisation development in developing knowedge as a systemic competitive weapon. It examines the relationships between the technology and human value, because they are vital instruments of the knowledge management (KM) process. By considering that KM is related to intelligent agents, information technology(IT), and strategic decision-support systems (SDSS), it attempts to provide useful insights on KM efficiency. A conceptual model of KM efficiency in the organisations supported by the combination of intelligent agents` role and intelligent systems resources is presented. The model is divided in two areas: the area of technical tools for specification of intelligent systems resources and the area of intelligent agents destined to focus their roles on organisations performance. The major factors are discussed and directions for future reearch are suggested

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