Özet:

Public institutions must employ staff in varying number and qualification to fulfill their related responsibilities. However, it is observed that the number of staff are employed and the population of the province or region are not in the same parallels. In this case, some factors are effective: such as the displacement of the staff as voluntary or involuntary, temporary circulation of the population, the increase in electronic applications. In this study, the provincial directorates of civil registration and nationality in Turkey were classified according to their work intensity by hybrid hierarchical k-means clustering. Silhouette index was used to determine the number of clusters. According to the results, it was revealed six different cluster structure consisting of the provinces have a similar work intensity. The validity of the resulting cluster structure was supported with the help of relevant statistical tests.

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