ENHANCING NAVAL RETENTION: A STRATEGIC APPROACH TO ALLOCATING SELECTIVE REENLISTMENT BONUSES
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Authors
Park, Seok
Subjects
Selective Reenlistment Bonus
SRB
U.S. Navy
USN
random forest
RF
Navy Enlisted System
NES
retention
naval manning
bonus
personnel retention
survival analysis
logistic regression
model
data-driven strategy
SRB
U.S. Navy
USN
random forest
RF
Navy Enlisted System
NES
retention
naval manning
bonus
personnel retention
survival analysis
logistic regression
model
data-driven strategy
Advisors
Yoshida, Ruriko
Chen, Louis
Date of Issue
2024-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This thesis proposes a strategic framework for optimizing the allocation of Selective Reenlistment Bonuses (SRBs) to enhance personnel retention within the U.S. Navy (USN). The research employs survival analysis, logistic regression, and random forest models to analyze data from the Navy Enlisted System (NES) and historical SRB records, identifying key demographic and service-related factors that impact sailors’ decisions to remain in service. The findings reveal that targeted SRB allocations can significantly reduce attrition by leveraging identified patterns in retention behavior. This study concludes that SRBs are a powerful yet underutilized tool for improving retention and recommends a more data-driven, strategic approach to SRB distribution. Such an approach can optimize retention of highly skilled personnel, ultimately enhancing the USN’s operational readiness and effectiveness.
Type
Thesis
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Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.