USAR Recruiting Success Factors.

Abstract

This study attempts to identify attributes associated with successful recruiters, to evaluate existing data on recruiter performance and characteristics, and to develop a model to aid in the selection of personnel who are likely to become successful recruiters. Conventional multivariate statistical techniques have not proved adequate in identifying successful recruiters, largely because of the absence of reliable and valid measures of recruiter success. This study applies a relatively new methodology, expert systems, to the recruiter selection problem. Composite models were constructed using expert systems developed for 6 Active Guard and Reserve Army recruiters; and for 10 Regular Army recruiters. These systems evaluated the relative importance of 6 dimensions, including both biodemographic/background traits and behavior/personality characteristics. Recommendations for the application, testing and improvement of this prototype methodology are presented. Keywords: Expert systems, Artificial intelligence, Recruiter selection, Recruiter success factors.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA192372

Entities

People

  • George V Thomas
  • Kathryn Kocher
  • Robin Gandolfo

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Administrative Personnel
  • Artificial Intelligence
  • Business Administration
  • Computer Programs
  • Computers
  • Crystal Structure
  • Enlisted Personnel
  • Expert Systems
  • Management Personnel
  • Military Personnel
  • Military Research
  • Organizational Structure
  • Personality
  • Personnel Management
  • Personnel Selection
  • Pilot Studies
  • Recruiting

Readers

  • Artificial Intelligence
  • Naval Personnel Management
  • Psychometric Testing or Psychological Assessment.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks