Complacency: A Threat to Homeland Security

Abstract

This thesis presents an unconventional approach to addressing a threat to homeland security by focusing on complacency through the lens of human factors and complexity. This approach requires a paradigm shift. In addition to focusing on external threats from enemies who wish to do this nation harm, and building capabilities to prepare for disasters, it is also necessary to look internally to the behaviors, attitudes, and states of mind of people within homeland security organizations to optimize the success of this country s efforts. This thesis draws from human factors science, folk science and folk psychology, complexity theory, homeland security doctrine, psychology and biology reference works, and applied research to develop a concept of complacency for the homeland security discipline. The hypothesis is that a clear definition may lead to actionable, observable measures to mitigate it. The research concludes that complacency is more commonly used as a proverbial threat than an actionable threat, but reveals a plethora of future research opportunities for a human-factors approach to addressing threats of this nature.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA607632

Entities

People

  • Paula L. Pecko

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Adaptive Systems
  • Aircrafts
  • Business Administration
  • Climate Change
  • Cognitive Science
  • Department Of Homeland Security
  • Disasters
  • Homeland Security
  • Human Behavior
  • National Security
  • Organization Theory
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Public Administration
  • Security
  • United States

Readers

  • Government and Public Administration Law.
  • Military History of the United States in the 20th Century.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.