Profile of the successful recruiter.

This thesis develops and analyzes a model to identify attributes of a successful recruiter. Expert Systems software is used to elicit from twenty U.S. Army recruiters and instructors, who are experts in the field, characteristics associated with recruiter success. An interactive computer program based on Quasi-Artificial Intelligence (QAI) captured the expert's intuition, knowledge, experience, and judgements to create expert systems that can be used to select U.S. Army recruiters before they attend recruiting school. This study found that personal characteristics such as Integrity and Commitment, and skills such as Persuading and Listening are substantially more important than the types of attributes generally used to predict recruiter success.http://archive.org/details/profileofsuccess00gandLieutenant, United States NavyApproved for public release; distribution is unlimited

USAR recruiting success factors

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 factorssponsored by the U S Army Recruiting Command, Program Analysis and Evaluation Directoratehttp://archive.org/details/usarrecruitingsu00thomApproved for public release; distribution is unlimited