Classification techniques for person-job matching: an illustration using the US Army

J. Zeidner, D.M. Scholarios, C. Johnson

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper presents the case for personnel systems based on maximizing the differential information gathered about individual abilities and their match to jobs. In the context of assignment to multiple jobs, such systems are shown to be more effective than those based on the currently dominant paradigm of maximizing predictive validity. The latter paradigm favours the measurement of general cognitive ability over multiple specific aptitudes. Recent differential approaches use computer simulation modelling of alternative hypothetical systems to evaluate potential efficiency. The paper reviews the theoretical background on the structure of human abilities which has led to these contrasting approaches to personnel system design, and presents evidence, based on the US Army selection and classification system, in support of the alternative approach. Individual test/aptitude profiles improve the efficiency of personnel selection and classification as well as academic, vocational and career counselling. They also provide a broader, potentially fairer definition of talent than a unidimensional indicator of cognitive ability, and a foundation for the design of learning and decision environments around learner and user profiles.
LanguageEnglish
Pages984-1005
Number of pages21
JournalKybernetes
Volume30
Issue number8
DOIs
Publication statusPublished - 2001

Fingerprint

Person
Personnel selection
Personnel
Computer simulation
Computer systems
Systems analysis
Paradigm
Computer Modeling
User Profile
Alternatives
Simulation Modeling
System Design
Assignment
Computer Simulation
Evaluate

Keywords

  • personnel systems
  • job matching
  • personnel policy
  • job design

Cite this

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Classification techniques for person-job matching: an illustration using the US Army. / Zeidner, J.; Scholarios, D.M.; Johnson, C.

In: Kybernetes, Vol. 30, No. 8, 2001, p. 984-1005.

Research output: Contribution to journalArticle

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