An Evaluation of Joint and Service-Specific Advertising Efficiency for Military Recruitment

Abstract

This report examines whether advertising money is more efficiently allocated to Joint advertising or to Service-specific advertising (Army, Navy, Air Force, Marines). This is done using data gathered in 1984 under the Department of Defense sponsored 'Advertising Mix Test' wherein a designed experiment varied the levels of joint and service-specific advertising across the U.S. and observed the number of recruits obtained. Previous studies have not considered the efficiency with which different entities conduct recruiting activities, and it is possible that a good program can be inefficiently run, or an inferior program can be efficiently run, thus leading to incorrect conclusions if efficiency is ignored. Here we show that in the test data design, the joint advertising' cells had 5-15 times as many efficient recruiting entities as had the 'service specific advertising' cells, and that ignoring this efficiency difference leads to the conclusion that joint advertising is more efficient that service specific advertising. After removing managerial inefficiencies in each program, however, we arrive at exactly namely that when efficiently managed service specific advertising is more efficient that is efficiently managed joint advertising.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 2000
Accession Number
ADA399739

Entities

People

  • Mark J. Davis
  • Michael J. Kwinn
  • Michael L. Mcginnis

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • Data Sets
  • Databases
  • Department Of Defense
  • Experimental Design
  • Governments
  • Information Processing
  • Information Science
  • Knowledge Management
  • Management Personnel
  • Operations Research
  • Personnel Management
  • Recruiting
  • Systems Engineering
  • United States
  • United States Military Academy

Readers

  • Computational Modeling and Simulation
  • Defense Acquisition Program Management
  • Naval Personnel Management