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An Empirical Approach to Job Families in Large, Complex Organizations

Jack Kearns (Equal Employment Opportunity Commission, USA)
Y. Paul Huo (Washington State University, USA)

International Journal of Manpower

ISSN: 0143-7720

Article publication date: 1 March 1992



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.



Kearns, J. and Paul Huo, Y. (1992), "An Empirical Approach to Job Families in Large, Complex Organizations", International Journal of Manpower, Vol. 13 No. 3, pp. 10-18.




Copyright © 1992, MCB UP Limited

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