Scenario Analysis: An Integrative Study and Guide to Implementation in the United States Air Force

Abstract

With the uncertainties in the current Air Force environment, extrapolated forecasting methods are no longer sufficient for meeting the Air Force's strategic planning needs. The Air Force could benefit from using a more sophisticated method to determine the opportunities and obstacles it will face in the future. The key characteristics that distinguish scenario analysis from other forms of forecasting are the qualitative, contextual descriptions of the future environment, and the identification of several possible futures. This thesis discusses the concept of scenario analysis and its relevance to the Air Force as a strategic planning tool. It begins with an overview of strategic planning and forecasting concepts. The current literature on scenario analysis is then integrated into a single reference discussing general concepts, construction methodologies, and corporate applications. The various approaches to scenario analysis are compared and incorporated into a composite model. Appropriate applications of scenario analysis within the Air Force are discussed, and a step-by-step guide is presented to assist Air Force managers and planners in implementing scenario analysis. Strategic planning, Environmental analysis, Forecasting, Scenario, Scenario analysis, U.S. Air Force

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA285012

Entities

People

  • Jamey B. Cihak
  • Steven A. Mozel

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • Commerce
  • Computers
  • Construction
  • Databases
  • Delphi Method
  • Economic Systems
  • Environment
  • International Relations
  • Investments
  • Law
  • Literature Surveys
  • Management Personnel
  • Materials
  • Organizational Structure
  • United States

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Systems Analysis and Design