TY  - JOUR
AB  - 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.
VL  - 13
IS  - 3
SN  - 0143-7720
DO  - 10.1108/01437729210010265
UR  - https://doi.org/10.1108/01437729210010265
AU  - Kearns Jack
AU  - Paul Huo Y.
PY  - 1992
Y1  - 1992/01/01
TI  - An Empirical Approach to Job Families in Large, Complex
Organizations
T2  - International Journal of Manpower
PB  - MCB UP Ltd
SP  - 10
EP  - 18
Y2  - 2024/04/26
ER  -