An Empirical Approach to Job Families in Large, Complex Organizations

Abstract

Proposes a new empirical approach to the classification of job families. This approach reflects an attempt to incorporate data on both the performance‐related human attributes and the nature of work or performance itself in developing a job‐classification system. Employees′ technical or functional skills and career histories form the basis of this rational taxonomy system. Demonstrates step‐by‐step, with the human resource data in a large, complex organization, how a useful taxonomy of job families may be derived from these two types of qualification‐related data.