Document Type

Article

Publication Date

8-15-2017

Abstract

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.

Comments

All articles published in JDAL are published Open Access under a Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC BY 4.0

Sourced from the publisher version of record at Emerald. The citation and DOI link are noted below.

DOI

10.1108/JDAL-03-2017-0001

Source Publication

Journal of Defense Analytics and Logistics

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