Enterprise Systems Value-Based R&D Portfolio Analytics: Methods, Processes, and Tools

Abstract

Investments in business development can be both highly volatile and uncertain, typically spanning a long period of time, and dependent on the development and leveraging of internal and external know-how . As a result, traditional valuation methods are often inadequate and must be enhanced to account for the uncertainties and opportunities offered by a portfolio of R&D investments. The work outlined in this research extends previous research regarding value-based R&D portfolio management [A] [D], and the process of characterizing, assessing, and managing R&D portfolio value [E] [K]. The principal focus of this research is to better understand the process of characterizing, assessing, and managing R&D portfolio value; as well as leveraging associated process artifacts for better evidence-based decision making and enhanced business efficiency and effectiveness across the enterprise [L] [O].

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Document Details

Document Type
Technical Report
Publication Date
Jan 14, 2014
Accession Number
ADA603090

Entities

People

  • Christopher Asakiewicz

Organizations

  • Systems Engineering Research Center

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artifacts
  • Best Practices
  • Big Data
  • Business Administration
  • Business Intelligence
  • Commerce
  • Data Analysis
  • Data Mining
  • Databases
  • Descriptive Analytics
  • Efficiency
  • Engineering
  • Identification
  • Information Science
  • Investments
  • Knowledge Management
  • Systems Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Defense Acquisition Program Management
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.