Approaches to the Job‐classification Problem in the Use of Beer's Predictive Model

Abstract

The Use of Beer's Predictive Model in classifying incoming jobs into achievement groups is basically a pattern recognition problem. Pattern recognition, in modern technology, is a quantitative affair. Following Beer's views on the job‐classification issue, consideration is given to some non‐numerical approaches as well as to the quantitative approach to the problem.

Citation

Adeagbo‐Sheikh, A.G. (1993), "Approaches to the Job‐classification Problem in the Use of Beer's Predictive Model", Kybernetes, Vol. 22 No. 2, pp. 56-62. https://doi.org/10.1108/eb005964