DocumentCode
1475983
Title
An Alternative Taxonomy of Project Management Structures: Linking Project Management Structures and Project Success
Author
Lechler, Thomas G. ; Dvir, Dov
Author_Institution
Howe Sch., Stevens Inst. of Technol., Hoboken, NJ, USA
Volume
57
Issue
2
fYear
2010
fDate
5/1/2010 12:00:00 AM
Firstpage
198
Lastpage
210
Abstract
This paper addresses the question of how projects are organized and how these management structures impact project success. Despite its widely accepted managerial importance, empirical studies could not provide significant evidence of a relationship between implemented management structures and project success. A major problem in finding meaningful empirical evidence is the conceptualization of the structure measure, which is derived from a typologist´s perspective. In this study, we follow the taxonomists´ perspective and empirically develop an alternative taxonomy of project management structures. We empirically compare both approaches, by using two different samples, collected in the United States and Germany, including together over 600 projects. Our empirical findings show that the validity of the widely accepted project organization typology is in question. The use of cluster analyses reveals an alternative taxonomy that encompasses five structural types, differentiated by the entities managing them: project coordinator, supervised project coordinator, autonomous project manager, supervised project manager, and autonomous functional project manager. The results strongly support the widely accepted proposition of a relationship between project organization and project success. The emerging taxonomy of project organization configurations enriches the theoretical and conceptual discussions of organizing projects and unravels the multiple aspects involved in organizing the execution of projects.
Keywords
organisational aspects; project management; statistical analysis; Germany; United States; cluster analyses; project execution; project management structures; project organization; project organization topology; project success; taxonomy; Innovation management; Joining processes; Large-scale systems; Multidimensional systems; Organizing; Performance analysis; Project management; Taxonomy; Cluster analysis; project organization classification; project organization structures; project performance;
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/TEM.2010.2044441
Filename
5452173
Link To Document