Neural network technology for knowledge resource management
Abstract
The adoption of a knowledge‐based system requires that users, experts and managers have good understanding of the concepts of information resource management (IRM) and knowledge resource management (KRM). Proposes a KRM concept which aims to organize knowledge, ensure a global control of conceptual resources and reduce heterogeneity of knowledge. Uses the neural network technology to integrate both the IRM and KRM concepts through the generation of neural decision support. Such a technology will not only help users understand situations unknown to the organization’s knowledge‐based systems but also more efficiently to access stored knowledge.
Keywords
Citation
Raggad, B.G. (1996), "Neural network technology for knowledge resource management", Management Decision, Vol. 34 No. 2, pp. 20-24. https://doi.org/10.1108/00251749610110283
Publisher
:MCB UP Ltd
Copyright © 1996, MCB UP Limited