A Conceptual Framework for Adaptive Project Management in the Department of Defense

Abstract

Over the past 60 years, the conceptual framework defining project management has remained relatively unchanged despite a consistently poor success rate. The prescriptive, plan-based process has withstood several challenges because logically, it should work. In the past 10 years, the subject of complexity has received considerable attention from researchers. At the same time, project management is receiving attention from a fresh perspective. In the past, research focused on attempting to understand the underlying reasons for poor results. That has turned around with recent research focusing on project management success. Research has uncovered a set of traits found in consistently successful project managers indicating that successful managers approach project planning and execution from a different perspective than is taught in traditional project management curriculums. These successful project managers are able to adapt and adjust during execution to keep the effort progressing. This adaptive style of project management consistently performs well for highly complex environments, but it requires a perspective accompanied by skills that are not usually taught in traditional project management training curriculums. The purpose of this paper is to identify the characteristics of an adaptive project management framework and outline how those skills can be taught in the DoD acquisition environment.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 2016
Accession Number
AD1016826

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Adaptive Systems
  • Agile Software Development
  • Autonomous Agents
  • Business Administration
  • Command And Control
  • Complex Adaptive Systems
  • Department Of Defense
  • Gantt Charts
  • Governments
  • Information Systems
  • Management Training
  • Personality
  • Project Management
  • Psychology
  • Software Development
  • Training

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Organizational Process Management (OPM).
  • Systems Analysis and Design