Strategic Sourcing Via Category Management: Helping Air Force Installation Contracting Agency Eat One Piece of the Elephant

Abstract

. The United States Air Force can dramatically reduce resource consumption through strategic sourcing initiatives that leverage sensibly-bound pockets of spend via category management. However, category creation is a particularly daunting task due to the sheer magnitude of purchasing data in large organizations. Text mining is one way to identify categories. Specifically, term frequency analysis, term frequency-inverse document frequency analysis, and topic modeling can identify category membership, unique characteristics of categories, and thematic natures of the categories. This thesis developed an empirical, generalizable, reproducible methodology to analyze historical contract text descriptions to uncover the datas hidden structure. A sample case was transformed into a practical hierarchy, which was internally and externally validated. As a foundational methodology, the impact of token selection, domain expertise, and unique contracting language were identified as considerations for future research

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2018
Accession Number
AD1056353

Entities

People

  • Theodore S. Holliger

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Big Data
  • Contracts
  • Data Analysis
  • Data Mining
  • Data Science
  • Information Science
  • Information Systems
  • Language
  • National Governments
  • Natural Language Processing
  • Organizational Structure
  • Supply Chain
  • Supply Chain Management
  • Text Mining
  • United States
  • United States Government

Readers

  • Computational Linguistics
  • Defense Acquisition Program Management
  • Systems Analysis and Design