Collecting, Retrieving and Analyzing Knowledge Value Added (KVA) Data From U.S. Navy Vessels Afloat

Abstract

Program managers throughout the Department of Defense (DoD) are faced with technology portfolio management problems. Critical to these efforts is the need to track the performance of the technology on a routine, ongoing basis. This thesis focuses on solving this general problem in the specific context of the United States Navy's Cryptologic Carry-On Program (CCOP). This study provides a method that can gather real world data from United States Naval vessels afloat and use that data to generate Return On Investment (ROI) estimates based upon Knowledge Value Added (KVA) analysis. This research builds upon the already developed KVA analysis method through providing a means by which a constant flow of real world data can feed this process, thereby providing an output that is both current and meaningful. The ability of decision makers to access this information will provide them with a critical tool that they can leverage to help them make wise financial decisions with respect to the CCOP program.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA509156

Entities

People

  • Jason B. Homer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Protocols
  • Business Administration
  • Data Analysis
  • Department Of Defense
  • Geographic Regions
  • Information Science
  • Information Systems
  • Information Warfare
  • Intelligence Collection
  • Intelligence Surveillance And Reconnaissance
  • Investments
  • Naval Operations
  • Naval Vessels
  • New York
  • North America
  • Ships
  • United States

Fields of Study

  • Computer science

Readers

  • Defense Acquisition Program Management
  • Naval Mine Countermeasure Systems Development.
  • Systems Analysis and Design