Measuring Transaction Costs in DoD Acquisition Programs

Abstract

This paper reports the preliminary results of a study to explore the influence of transaction costs on Department of Defense (DoD) cost estimates. It is an extension of previous work that established that Transaction Cost Economics has promising explanatory power in terms of costs of major DoD acquisition programs. The current work explores methods of measuring transaction costs as a first step in improving estimation methods by including explanatory variables that capture the coordination and motivation problems associated with a program. The preliminary results indicate that it is possible to measure contractor Systems Engineering/Program Management (SEPM) costs as a proxy for transaction costs. The ratio of SEPM to total costs was examined for two case studies (Javelin and ATACMS) for which ex-ante indicators of transaction costs had been assessed. The results are consistent in that the program with ex-ante indicators that indicated higher transaction costs also had a significantly higher SEPM ratio. Further research is required to better establish the relationship between transaction costs indicators and the quality of DoD cost estimates.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 29, 2008
Accession Number
ADA494232

Entities

People

  • Chip Franck
  • Diane Angelis
  • François Melese
  • John Dillard

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Business Administration
  • Contracts
  • Cost Estimates
  • Department Of Defense
  • Economics
  • Government Procurement
  • Governments
  • Logistics
  • Management Personnel
  • Military Acquisition
  • Organizational Structure
  • Procurement
  • Program Management
  • Public Policy
  • Short Range Ballistic Missiles
  • Systems Engineering

Readers

  • Defense Acquisition Program Management
  • Logistics and Supply Chain Management.
  • Regression Analysis.