Purpose: The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting. Design/methodology/approach: Time series methods, regression modeling, principle components and marketing research are included in this paper. Findings: This paper found the unique ability of multiple statistical methods applied to a forecasting context to consider the effects of inputs that are controlled to some degree by a decision maker. Research limitations/implications: This work will successfully inform the US Army recruiting leadership on how this improved methodology will improve their recruitment process.
Practical implications: Improved US Army analytical technique for forecasting recruiting goals.
Journal of Defense Analytics and Logistics
McDonald, J. L., White, E. D., Hill, R. R., & Pardo, C. (2017). Forecasting US Army enlistment contract production in complex geographical marketing areas. Journal of Defense Analytics and Logistics, 1(1), 69–87. https://doi.org/10.1108/JDAL-03-2017-0001
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