Forecasting US Army enlistment contract production in complex geographical marketing areas. Issue 1 (3rd July 2017)

• Record Type: Journal Article
• Authors: McDonald, Joshua L.; White, Edward D.; Hill, Raymond R.; Pardo, Christian
• Is Part Of: Journal of defense analytics and logistics. Volume 1:Issue 1(2017)
• Page Start: 69
• Page End: 87
• Publication Date: 2017-07-03
• Subjects: Regression -- Comparative studies -- Sales forecasting; Military art and science -- Periodicals; Military research -- Periodicals; Defense industries -- Periodicals; Logistics -- Periodicals; 355.4
• DOI: 10.1108/JDAL-03-2017-0001
• Languages: English
• ISSNs: 2399-6439

Abstract

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.. Originality/value: This work culls data from open sources, using a zip-code-based classification method to develop more comprehensive forecasting methods with which US Army recruiting leaders can better establish recruiting goals.