Modelling Work Motivation with a Fusion ARTMAP Neural Network

This paper seeks to introduce the ARTMAP family of artificial neural networks as a mathematical theory for modelling work motivation. A new type of construction of psychometric scales based on Fuzzy ART modules is proposed. Psychological relations are modelled with the ARTMAP processing mechanism. Two variations - Fuzzy and Fusion are evaluated with respect to a psychological database. The results achieved are preliminary, but give clear indication of the method's potential. Due to the high precision, capacity for individualisation of the information, and better use of the raw data by Fusion ARTMAP, it can be of much help in organizational research. More specifically, human resources management may benefit from the opportunity to use computer simulations of on-going human interaction processes.