Human resource management expert systems technology

Abstract

Abstract: This paper provides human resource managers with important guidelines when applying expert systems to human resource domains, by reviewing system characteristics, potential benefits and limitations, and appropriate domains to be selected, based on the literature. Structural and procedural aspects of expert systems development in human resource management (represented by a wheel model) and problem descriptions of each expert system respectively are important research results in this paper. We also show semantic networks or semantic nets used for a knowledge representation methodology on such major human resource management activities as human resource planning, recruiting, compensation and labor‐management relations. Knowledge representation is a key component in the development stages of expert systems.