USAR recruiting success factors
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Authors
Thomas, George W.
Kocher, Kathryn M.
Gandolfo, Robin Ragsdale
Subjects
expert systems, artificial intelligence,
recruiter selection, recruiter success factors
Advisors
Date of Issue
1987-12
Date
1987-12
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
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
Type
Technical Report
Description
Series/Report No
Department
Administrative Sciences
Identifiers
NPS Report Number
NPS-54-87-013
Sponsors
sponsored by the U S Army
Recruiting Command, Program Analysis and Evaluation Directorate
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.