Predicting army reserve unit manning using market demographics
| Autor: | Nathan Parker, Jonathan Alt, Samuel Buttrey, Jeffrey House |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Journal of Defense Analytics and Logistics, Vol 2, Iss 2, Pp 69-79 (2018) |
| Druh dokumentu: | article |
| ISSN: | 2399-6439 2399-6447 |
| DOI: | 10.1108/JDAL-09-2017-0020/full/pdf?title=predicting-army-reserve-unit-manning-using-market-demographics |
| Popis: | Purpose – This research develops a data-driven statistical model capable of predicting a US Army Reserve (USAR) unit staffing levels based on unit location demographics. This model provides decision makers an assessment of a proposed station location’s ability to support a unit’s personnel requirements from the local population. Design/methodology/approach – This research first develops an allocation method to overcome challenges caused by overlapping unit boundaries to prevent over-counting the population. Once populations are accurately allocated to each location, we then then develop and compare the performance of statistical models to estimate a location’s likelihood of meeting staffing requirements. Findings – This research finds that local demographic factors prove essential to a location’s ability to meet staffing requirements. We recommend that the USAR and US Army Recruiting Command (USAREC) use the logistic regression model developed here to support USAR unit stationing decisions; this should improve the ability of units to achieve required staffing levels. Originality/value – This research meets a direct request from the USAREC, in conjunction with the USAR, for assistance in developing models to aid decision makers during the unit stationing process. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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