Modeling Information Gaps in Military Command Structures

Abstract

Technological advances have led to an increase in data available to commanders and their staffs. Sorting through collected data and identifying what is present that is relevant and what is relevant-but-not-present is necessary to identify and eliminate information gaps that hinder a commanders decision-making ability. This thesis developed and assessed a model illustrating the creation and propagation of information gaps in a command structure in order to provide a tool to identify and mitigate organizational blind spots. Literature describing approaches to naturalistic decision-making; individual processes for collecting, filtering, and interpreting specific data; and the effect of staff member roles on their interaction with data formed the basis of the model. Internal analysis revealed potential causes of information gaps. The models utility in identifying information gaps was evaluated using dissimilar historical cases with varying command attributes and environmental parameters including technological context, situational tempo, and level of war. The thesis concludes by describing the models limitations and suggesting techniques to further validate the model using live exercises and a way to apply the model offensively in deception operations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2019
Accession Number
AD1080299

Entities

People

  • Joel M. Katz

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Airborne Warning And Control System
  • Cognition
  • Command And Control
  • Employment
  • Human Intelligence
  • Imagery Intelligence
  • Information Processing
  • Knowledge Management
  • Military Organizations
  • National Security
  • Organizational Structure
  • Psychology
  • Second World War
  • Situational Awareness
  • United States
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.