G2TT
来源类型Report
规范类型报告
DOIhttps://doi.org/10.7249/RR2364
来源IDRR-2364-A
Resources Required to Meet the U.S. Army's Enlisted Recruiting Requirements Under Alternative Recruiting Goals, Conditions, and Eligibility Policies
David Knapp; Bruce R. Orvis; Christopher E. Maerzluft; Tiffany Berglund
发表日期2018-07-12
出版年2018
语种英语
结论

Recruiters, TV advertising, and enlistment incentives exhibit a positive relationship with enlistment contract production.

  • The return on investment depends on recruit eligibility policy, recruiting environment, and, most critically, on the accession goal.

The Recruiting Resource Model (RRM) represents a step forward in helping Army leaders shape a cost-efficient strategy capable of achieving the Army's accession requirements.

  • The RRM can be used to predict how a chosen set of recruiting resources, recruit eligibility policies, and the recruiting environment combine to produce accessions, an entry pool for the following year, and a resourcing cost.

Army planners can use the RRM tool (the RRM paired with its optimization algorithm) to consider the potential cost and resourcing requirements for a range of recruiting contingencies.

  • The optimization algorithm of the RRM tool is designed to find the cost-minimizing portfolio of recruiting resources for a target accession goal conditional on the recruiting environment and Army-established recruit eligibility policies.
  • The RRM tool can determine a cost-minimizing resourcing plan for a fiscal year.
  • It can be used to compare the sensitivity of resourcing plans under alternative recruiting environments.
  • It can be used to compare alternative resourcing plans.
  • It can be used to compare cost tradeoffs of alternative eligibility policies.
  • It can be used to consider within-year changes in resourcing plans necessary to achieve an accession mission.
  • It can be used to consider multiple-year resourcing scenarios.
摘要

The purpose of this research is to enhance the effectiveness and efficiency of the Army's use of recruiting resources and policies. A theoretical model was estimated based on the Army's recruiting experience. Using this model, a tool was created for the Army's use in assessing alternative courses of action and optimizing resource levels and mix under alternative enlisted accession goals, labor market conditions, and recruit eligibility policies. Understanding how recruiting resources and recruit eligibility policies work together as a system under varying recruiting requirements and environments is critical for decisionmakers who want to use their limited resources to efficiently and effectively achieve the Army's accession requirements. The recruiting resource model developed in this report considers the relationship among the monthly level and mix of recruiting resources, recruit eligibility policies, accumulated contracts, and training seat targets. It models how these factors combine to produce monthly accessions and the number of enlistment contracts at the fiscal year's end that are scheduled to access in the following fiscal year.

目录
  • Chapter One

    Introduction

  • Chapter Two

    Overview of Recent Resource Use and Eligibility Policies

  • Chapter Three

    Data Used for This Study

  • Chapter Four

    Recruiting Resource Model

  • Chapter Five

    Model Demonstration and Optimization

  • Chapter Six

    Conclusions

  • Appendix A

    Example of Changes in Production Elasticities

主题Enlisted Personnel ; Military Education and Training ; Military Recruitment ; United States Army
URLhttps://www.rand.org/pubs/research_reports/RR2364.html
来源智库RAND Corporation (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/523580
推荐引用方式
GB/T 7714
David Knapp,Bruce R. Orvis,Christopher E. Maerzluft,et al. Resources Required to Meet the U.S. Army's Enlisted Recruiting Requirements Under Alternative Recruiting Goals, Conditions, and Eligibility Policies. 2018.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
RAND_RR2364.pdf(1320KB)智库出版物 限制开放CC BY-NC-SA浏览
x1531398983644.jpg.p(5KB)智库出版物 限制开放CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[David Knapp]的文章
[Bruce R. Orvis]的文章
[Christopher E. Maerzluft]的文章
百度学术
百度学术中相似的文章
[David Knapp]的文章
[Bruce R. Orvis]的文章
[Christopher E. Maerzluft]的文章
必应学术
必应学术中相似的文章
[David Knapp]的文章
[Bruce R. Orvis]的文章
[Christopher E. Maerzluft]的文章
相关权益政策
暂无数据
收藏/分享
文件名: RAND_RR2364.pdf
格式: Adobe PDF
文件名: x1531398983644.jpg.pagespeed.ic.Nn04o7kPUw.jpg
格式: JPEG

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。