Performance evaluation and Army recruiting

Designing and implementing performance metrics that support Army goals requires analysis of how different metrics would affect recruiter behavior and, in turn, recruiters' contributions toward achieving the Army's goals. The authors evaluate traditional performance metrics, such as number...

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Bibliographic Details
Main Author: Dertouzos, James N.
Other Authors: Garber, Steven
Format: eBook
Language:English
Published: Santa Monica, CA Rand Arroyo Center 2008, 2008
Series:Rand Corporation monograph series
Subjects:
Online Access:
Collection: JSTOR Open Access Books - Collection details see MPG.ReNa
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245 0 0 |a Performance evaluation and Army recruiting  |h Elektronische Ressource  |c James N. Dertouzos, Steven Garber 
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300 |a xxiii, 101 pages  |b illustrations 
505 0 |a Introduction -- Models of recruiter effort, market quality, and enlistment supply -- Data and econometric estimates of contract-production models -- Empirical analysis of performance measures -- Choosing performance windows and organizational units for evaluation -- Conclusions -- Appendix A: Allocation of recruiter effort: implications of a microeconomic model -- Appendix B: Recruiter behavior in the face of risk 
505 0 |a Includes bibliographical references (page 101) 
610 1 4 |a United States / Army / Personnel management 
610 1 4 |a United States / Army / Recruiting, enlistment, etc 
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653 |a BUSINESS & ECONOMICS / Human Resources & Personnel Management 
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520 |a Designing and implementing performance metrics that support Army goals requires analysis of how different metrics would affect recruiter behavior and, in turn, recruiters' contributions toward achieving the Army's goals. The authors evaluate traditional performance metrics, such as number of contracts signed per month per recruiter, and find that they do not adequately measure recruiter effort, skill, and productivity. They then develop a "preferred performance metric" that takes into account the difficulty of recruiting different types of youth in various markets. Using a performance metric that better reflects Army values and more accurately assesses recruiter effort and skill would have significant benefits. However, because the recruiter reward system is deeply engrained, the authors propose modest, gradual changes to the system-for example, improving mission allocation algorithms to reflect variations in market quality and differences in market segments and lengthening the performance evaluation window to at least six months to reduce emphasis on monthly station-level mission accomplishment