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dc.contributor.advisorAlt, Jonathan K.
dc.contributor.authorWilliams, Taylor
dc.dateDec-14
dc.date.accessioned2016-03-03T23:26:30Z
dc.date.available2016-03-03T23:26:30Z
dc.date.issued2014-12
dc.identifier.urihttp://hdl.handle.net/10945/48125
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractEffectively allocating Navy recruiting resources to recruiting stations requires an understanding of the market factors that influence a station’s expected production. Currently, Navy Recruiting Command (NRC), N5 (Research) uses an index constructed from 18 factors describing the stations operating environment to identify a stations recruiting potential. This research develops alternative models to identify a station’s potential, both over a three-year and monthly period and compares this to models using only the index value. Regression techniques provide models with more explanatory power than models using only the constructed index, while using only a subset of the 18 factors for the current index. These models will be used by NRC N5 to inform market analysis and by NRC N7 (Training) within their training game for Navy Recruit District (NRD) leaders.en_US
dc.description.urihttp://archive.org/details/understandingfac1094548125
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis 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.en_US
dc.titleUnderstanding factors influencing Navy recruiting productionen_US
dc.typeThesisen_US
dc.contributor.secondreaderButtrey, Samuel E.
dc.contributor.departmentOperations Research
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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