Science and Technology Text Mining: Management Decision Aids

Abstract

This report addresses issues of quality in the context of management decision aids. It proposes rules for high quality management support procedures using these aids, and presents criteria for more effective implementation of these decision aids into the strategic management of science and technology. Two illustrative examples of quality in the context of management decision aids are presented. The first addresses quality in the context of science and technology roadmaps, and the second addresses quality in the context of information retrieval for science and technology text mining. Finally, the report discusses the major barriers to implementation and integration of these decision aids into the strategic science and technology management process: * Techniques treated as add-ons * Techniques treated independently * Mismatch between performers and users.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 2003
Accession Number
ADA415501

Entities

People

  • Ronald Neil Kostoff

Organizations

  • Office of Naval Research

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Best Practices
  • Commerce
  • Complex Systems
  • Computational Linguistics
  • Data Mining
  • Governments
  • Information Processing
  • Information Retrieval
  • Language
  • Linguistics
  • Literature Surveys
  • Military Research
  • Motivation
  • Standards
  • Test And Evaluation
  • Text Mining

Readers

  • Defense Acquisition Program Management
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy