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Management Selection in Australia: A Comparison with British and French Findings
Author(s) -
Milia L.,
Smith P.A.,
Brown D.F.
Publication year - 1994
Publication title -
international journal of selection and assessment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.812
H-Index - 61
eISSN - 1468-2389
pISSN - 0965-075X
DOI - 10.1111/j.1468-2389.1994.tb00154.x
Subject(s) - public sector , government (linguistics) , private sector , context (archaeology) , selection (genetic algorithm) , manufacturing sector , marketing , business , psychology , economics , computer science , geography , economic growth , labour economics , linguistics , philosophy , economy , archaeology , artificial intelligence
The present study provided data on the cross‐national use of management selection methods by collecting information from the Australian context. The data is compared with the British and French findings obtained by Shackleton and Newell (1991). A total of 254 companies (53.4%) responded to the survey. The overall pattern of results indicated that Australian management selection methods were closer to the British than to the French findings. Compared to previous Australian studies, the present data indicated that the main selection tools being used are unchanged. Some evidence was found that selection methods may differ within organizations comprising the private sector and between the private and public sector. The business sector made significantly greater use of cognitive testing and assessment centres compared to manufacturing, retail and government sectors. The government sector reported a significant difference in using two or three interviewers. It is proposed that, although surveys of this type have been useful as general reviews of the area, future research would benefit by collecting: (1) data on the specific measures used, (2) distinguishing between internal and external recruitment, (3) distinguishing between private and public sector recruitment, and (4) ensuring respondents have the same conceptual understanding of the selection methods covered by the survey.