TY  - JOUR
AB  - 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.
VL  - 34
IS  - 2
SN  - 0025-1747
DO  - 10.1108/00251749610110283
UR  - https://doi.org/10.1108/00251749610110283
AU  - Raggad Bel G.
PY  - 1996
Y1  - 1996/01/01
TI  - Neural network technology for knowledge resource management
T2  - Management Decision
PB  - MCB UP Ltd
SP  - 20
EP  - 24
Y2  - 2024/09/26
ER  -