Project Effectiveness and the Balance of Power in Matrix Organizations: An Exploratory Study.

Abstract

The purpose of this thesis was to develop a research design for measuring the relationship between project effectiveness and the balance of power between the functional and project managers in matrixed organizations during different project phases. Specifically, it was proposed that dominant functional manager influence relates positively to organizational effectiveness in early research phases of project or technology development. Conversely, it was proposed that dominant project manager influence relates positively to organizational effectiveness in later phases of project development. A survey instrument was developed to test these possible relationships. Actual testing of these hypotheses, however, is a subject for follow-on research effort. Interviews with Air Force Wright Aeronautical Laboratory (AFWAL) and Aeronautical System Division (ASD) deputate level managers provided information on the weighting of organizational indicators across the various phases of a project's life cycle. This was accomplished to verify assertions advanced in the literature review that the importance of different effectiveness indicators may vary with the phase of the project. Interview findings tended to support the literature; i.e., certain effectiveness indicators do vary in importance based on the phase of the project.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA174469

Entities

People

  • Connie F. Peterson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Aeronautical Laboratories
  • Air Force
  • Air Force Facilities
  • Data Science
  • Engineering
  • Engineers
  • Factor Analysis
  • Information Processing
  • Information Science
  • Life Cycles
  • Literature Surveys
  • Organizational Structure
  • Project Management
  • Regression Analysis
  • Statistical Analysis
  • Surveys
  • Test And Evaluation

Readers

  • Organizational Process Management (OPM).
  • Organizational Psychology.
  • Software Engineering